assafelovic / gpt-researcher

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

Показано лише найновішу історію — цей репозиторій перевищує вікно збору, тож найраніша історія не захоплена.

Повний розв'язаний набір залежностей із графа залежностей GitHub: 142 прямих і 94 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

Встановлення pypi:gpt-researcher@0.16.0 тягне 159 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

Жодне відоме сповіщення не стосується оцінених залежностей.

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

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          "body": "- Add MiniMax-M3 to model list and set as default\n- Keep MiniMax-M2.7 and MiniMax-M2.7-highspeed\n- Remove older models (M2.5/M2.5-highspeed)\n- Update related documentation\n\n(cherry picked from commit 18893c0181f200de3e08c7ba8b770658c129ac2a)",
          "is_bot": false,
          "headline": "feat: upgrade MiniMax default model to M3",
          "author_name": "octo-patch",
          "author_login": null,
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "365bc359dbbf4100f9bb1bc6528eb6b6be16bce0",
          "body": "…rcher.context\n\ncurate_sources() returns List[dict] (each dict contains Title, Content, Source\nkeys), but researcher.context is expected to be a str throughout the codebase.\nAssigning the List[dict] directly causes any downstream str operation to crash:\n\n  - len(researcher.context) returns the list \n[…]\nntent / Source' block joined by double newlines.\nNon-dict items fall back to str(). Non-list returns are passed through unchanged.\n\n(cherry picked from commit f71b95ba8aebca9343ac50985a2e9c0548d38cfb)",
          "is_bot": false,
          "headline": "fix: normalize curate_sources() return type before assigning to resea…",
          "author_name": "Jason Broderick",
          "author_login": "JasonBroderick",
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b6a70d98b10474a1c89838163ef5a5f864abc4f3",
          "body": "When CURATE_SOURCES=True, ResearchConductor.conduct_research() returns\nresult['context'] as a List[dict] (each dict has Title/Content/Source keys)\nrather than a plain str. Two separate crash paths:\n\n1. all_context.append(result['context']) nests the list as a single item,\n   so context_with_citation\n[…]\nmade type-safe so any residual\n   dict items are extracted via their 'Content' key rather than crashing.\n\nFixes #1279, fixes #1332\n\n(cherry picked from commit 216899eebf0cdc78390fd1886d1bb0b1113ce81f)",
          "is_bot": false,
          "headline": "fix: handle List[dict] context from CURATE_SOURCES=True in deep research",
          "author_name": "Jason Broderick",
          "author_login": "JasonBroderick",
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a0dacc2326d61db2c257547764e9cd61df835640",
          "body": "…yntax\n\nThe generate_search_queries_prompt() function said 'Write N google search\nqueries'. Instruction-following LLMs (e.g. GPT-5.4) interpret this literally\nand inject Google-specific operator syntax such as site:arxiv.org,\nfiletype:pdf, inurl:, intitle:, OR, AND into the generated queries.\n\nMost \n[…]\n operator syntax and explain why\n- Keep the fix backend-neutral so it is correct regardless of which\n  retriever(s) are configured\n\n(cherry picked from commit c15a8636e142e8a0b93f6896aa10e524d643d1bc)",
          "is_bot": false,
          "headline": "fix: make search query prompt retriever-agnostic, prohibit operator s…",
          "author_name": "Jason Broderick",
          "author_login": "JasonBroderick",
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "03964d3ae20859bd0f9c5f56ab14ad0529a0befc",
          "body": "The loader_dict in _load_document keys formats in lower-case (pdf, docx,\nxlsx, ...), but _get_extension returned the raw suffix. A URL ending in\nan upper-case extension (e.g. report.PDF, doc.DOCX — common on direct\nlinks and signed CDN URLs) produced an upper-case format string that\nmissed every loader_dict key, so the document was silently skipped.\n\nLower-case the extracted extension so the loader lookup matches.\n\n(cherry picked from commit c67a179c8bbb1b0e8a910b2816b5f82cfd38d013)",
          "is_bot": false,
          "headline": "fix(document): normalise URL extension case in OnlineDocumentLoader",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9094ddf5addb0717b365e57181915ac25542ee0c",
          "body": "PyMuPDFScraper downloads a remote PDF to NamedTemporaryFile(delete=False)\nand only called os.remove() on the success path. When PyMuPDFLoader.load()\nraises on a malformed/partial PDF, the broad except swallowed the error and\nleft the temp .pdf on disk every time. Wrap the load in try/finally so the\ntemp file is always cleaned up.\n\n(cherry picked from commit 124ec5c30ca5a2de14f5af2555e66550ad040de5)",
          "is_bot": false,
          "headline": "fix(scraper): remove PyMuPDF temp file even when PDF loading fails",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9a5c8a4d0ec1fd7886adc6c6a6803c725577e09f",
          "body": "…rScraper\n\nThe Selenium BrowserScraper routed pages to the PDF path with\nself.url.endswith('.pdf'), which missed signed CDN/S3 links that carry a\nquery string (doc.pdf?sig=...) and was case-sensitive (.PDF). Such URLs\nfell through to HTML scraping and returned garbage. Extracted an\n_is_pdf_url helper that inspects only the URL path, lowercased.\n\n(cherry picked from commit 7e6dded91e37b4dfb9acd8d66c9b83fc5d51d997)",
          "is_bot": false,
          "headline": "fix(scraper): detect PDF links with query strings/uppercase in Browse…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "094ca882f5075ce8948cbf6039cfb1a470df5413",
          "body": "…sion\n\nInspect only the URL path component (via urlparse) and match\ncase-insensitively so signed CDN/S3 links like '.../doc.pdf?sig=...'\nand '.PDF' route to PyMuPDFScraper instead of the HTML scraper.\n\nAdds tests/test_scraper_get_scraper.py.\n\n(cherry picked from commit b2cfa28967ce18d0d0630922c38a469ccd1ac3c3)",
          "is_bot": false,
          "headline": "fix(scraper): detect PDF links with query strings and uppercase exten…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9db9902c776eadd8689af3e494f39fcf991bd1a3",
          "body": "…nsions\n\nparse_dimension printed an error line to stdout for every non-numeric width/height attribute. Values like '100%', 'auto', and '50em' are valid, common HTML, so normal scraping spammed application stdout. Log at debug level instead.\n\n(cherry picked from commit d5c0118773b8eade703428a11e63638007e005d4)",
          "is_bot": false,
          "headline": "fix(scraper): debug-log instead of printing on non-numeric image dime…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b5f445ca52e3904462542f23b147ef691b6bec42",
          "body": "…tags\n\nAn empty <title></title> made soup.title.string return None, violating the -> str contract and propagating None into image alt-text and document metadata across every scraper backend. Use get_text(strip=True) so the result is always a (stripped) string.\n\n(cherry picked from commit a8972cc87e73fd962e8c380adebf790bdc759024)",
          "is_bot": false,
          "headline": "fix(scraper): return empty string from extract_title for empty title …",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "032683fbd071a992034624b0cf3e7da85e5f647c",
          "body": "…dels\n\ntiktoken.encoding_for_model only knows OpenAI model names and raises KeyError for Ollama/Cohere/Nomic/HuggingFace embedding models, aborting cost tracking mid-research. Fall back to the default o200k_base encoding for a best-effort estimate.\n\n(cherry picked from commit 1f327f3167f7c330156c887d3aa027c5f7f12a29)",
          "is_bot": false,
          "headline": "fix(costs): fall back to default encoding for non-OpenAI embedding mo…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bcc1eac0ca56eb2509f2b6384b6d7117eb1fce87",
          "body": "json_repair.loads can yield a dict, bare string, or None when the LLM does not emit a clean JSON array; callers in researcher.plan_research treat the result as list[str] and crash on .append/iteration. Normalize defensively and fall back to the original query.\n\n(cherry picked from commit b3c1313fb958d60dc4550b375c894f63d36c5910)",
          "is_bot": false,
          "headline": "fix(query): always return list[str] from generate_sub_queries",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "06d2d27595922c345dd8bd1d8b4ad9dc0c07d8ca",
          "body": "The error log used a plain string ('...\\n {e}') with no f-prefix, so it recorded the literal text '{e}' instead of the exception, hiding the real cause of subtopic-parsing failures. Use lazy %-formatting with exc_info and drop the redundant print.\n\n(cherry picked from commit 878243e08e2fe676a64803107b1d4fe419734667)",
          "is_bot": false,
          "headline": "fix(llm): log the real exception in construct_subtopics error handler",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5cd8bec3fad5389e867995ef4387fb5d15fc78cb",
          "body": "quick_search previously only queried self.retrievers[0], ignoring any\nadditional retrievers configured via RETRIEVER (e.g. \"tavily,duckduckgo\").\nThis adds an opt-in all_retrievers flag that queries every configured\nretriever concurrently and merges the results, de-duplicated by URL\n(handling both 'u\n[…]\nl' and 'href' keys). Failing retrievers are skipped so\none bad provider does not abort the search. Default behaviour is unchanged.\n\n(cherry picked from commit 443d7c0835d7828e018500483541d3ad2a550f50)",
          "is_bot": false,
          "headline": "feat(agent): add all_retrievers option to quick_search",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0a1235a3d88fbe1b5e70ee24572193b2e230cfd9",
          "body": "Search retrievers return records keyed by 'href'/'body', but the\naggregated quick_search summary read 'url'/'content', so the\nsummarization prompt received empty source data ('[1] :  ()'). Read\n'href'/'body' with fallback to 'url'/'content' for pre-normalized records.\n\nAdds tests/test_quick_search_summary_context.py.\n\n(cherry picked from commit 3ad9e6d8766082f4af2930797dc290b8700e13fa)",
          "is_bot": false,
          "headline": "fix(agent): use real retriever keys in quick_search summary context",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "20a0066ec2cfabc16c963038a4f10f865ee8b331",
          "body": "extract_json_with_regex used a non-greedy '{.*?}' pattern, which stopped\nat the first closing brace. Any agent JSON with more than one key, or a\n'}' inside a string value (e.g. an agent_role_prompt mentioning\n'{markets}'), was truncated into an invalid fragment that json.loads\ncould not parse, defeating this fallback recovery path. Use a greedy\n'{.*}' so the match spans to the last '}' and captures the full object.\n\n(cherry picked from commit 82aa0c88ee74c9407b6f0697e72749e8f899bd13)",
          "is_bot": false,
          "headline": "fix(agent): capture whole JSON object in extract_json_with_regex",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4f18febecdd61bfb4c2819521eb215d77e848ff5",
          "body": "Closes #1718.\n\n(cherry picked from commit 73964b1cd58c824b0bcb06540f9c3e4b2d17e39e)",
          "is_bot": false,
          "headline": "fix(export): avoid outputs/.pdf when export filename is empty",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "da6ecbb7ca0c052a6dc1c463d59a6123887888fe",
          "body": "Closes #1899.\n\nNone-sentinel coercion for Optional[str] was unreachable because the\nstr converter never raises and ran before the NoneType branch.\n\n(cherry picked from commit 02b8aebe33f850c5e4771142b69fc007e81646f8)",
          "is_bot": false,
          "headline": "fix(config): coerce none/null empty for Optional env fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9038ffa3fbd3902dc3a1c91340f4b6a3eedf1417",
          "body": "The guard in convert_configs_to_langchain_format checked\nserver_config['connection_type'], which is never set (only 'transport'\nis), so connection_headers were silently dropped and auth-protected\nHTTP MCP servers rejected the connection. Check 'transport' instead.\n\nCloses #1854.\n\n(cherry picked from commit 99bf7c49ae75961e3a68957869f4e4623d4e4180)",
          "is_bot": false,
          "headline": "fix(mcp): forward connection_headers for HTTP/websocket transports",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2f31a26739b44931e75b6cb477c1b0c16b28edef",
          "body": "add_references iterated visited_urls directly, but that is a set whose\niteration order varies run-to-run and across processes (PYTHONHASHSEED).\nThe final report's References section was therefore non-reproducible for\nidentical inputs. Sort the URLs before rendering so the same research\nyields the same reference list.\n\n(cherry picked from commit 521d98b086b822e4fa215c6323541be08c49bd84)",
          "is_bot": false,
          "headline": "fix(report): emit references in deterministic (sorted) order",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e331e066ed2b941d928cc7e68ea6854c27b0cf10",
          "body": "Closes #1579.\n\n(cherry picked from commit f96b6ada23d05c984e6abebc22182bd33fa4348d)",
          "is_bot": false,
          "headline": "fix(deep-research): stop descent when a level yields zero results",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3dcb8392cefce7d613d4c3cdd0ae3712abe48d34",
          "body": "Add fact_check_revision_count and max_fact_check_revisions (default 3)\nso fact_checker→writer cannot stack overflow via recursion_limit.\n\n(cherry picked from commit 69381ff233acfd6989bde9a7a2adc91526e28502)",
          "is_bot": false,
          "headline": "fix(multi_agents): bound fact-checker writer revision loop",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:24:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5b59b615ac099fe1ad3f9cdcaedaa2b2a9d45737",
          "body": "Add draft_revision_count + max_draft_revisions (default 3) so the\neditor loop force-accepts gracefully instead of GraphRecursionError.\nPairs with the exact None-accept fix for #1881.\n\n(cherry picked from commit b2f801a198036ac7385ba9f13d9b1db134c515bc)",
          "is_bot": false,
          "headline": "fix(multi_agents): bound reviewer/reviser draft revision loop",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:24:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "72fe041b53436d5f110348c07f4093a5f73a9db2",
          "body": "Substring \"None\" accepted critical reviews as approval and published\nunrevised drafts. Match only the exact accept token (optional quotes).\nAlso fix reviser prompt string concatenation typo.\n\nCloses #1881\n\n(cherry picked from commit 5c033b44c393b6dfd0d6371709901b9189e17e5e)",
          "is_bot": false,
          "headline": "fix(multi_agents): exact None sentinel for reviewer and fact-checker",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:24:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e4ecf0477114e30007bcbd8280632006b00fbe22",
          "body": "Interpolating the raw query broke searches with reserved characters\n('&' injected spurious params, '#' truncated the query). Build the\nquery string with urllib.parse.urlencode.\n\nAdds tests/test_google_search_url_encoding.py.\n\n(cherry picked from commit b59352c3c75e29e2be534c09b9647cf2b3795c6b)",
          "is_bot": false,
          "headline": "fix(google): URL-encode Custom Search query parameters",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "35af8cddb6c47f4faf150755e2d0ee4afa51f3fc",
          "body": "Closes #1875.\n\n(cherry picked from commit 7f16851b1dabfb5453986a42f73856ed9198220a)",
          "is_bot": false,
          "headline": "fix(retriever): skip redundant Tavily MCP when direct Tavily is active",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2544c77120785187fd576df544daea4e342c5297",
          "body": "Comma-separated retriever lists from request headers (e.g. 'tavily, exa')\nkept surrounding whitespace, so every name after the first failed the\nexact match in get_retriever and silently fell back to the default\nretriever. Move the strip (and blank-drop) so it applies to the header\npath too, not just the config path.\n\nAdds tests/test_get_retrievers_whitespace.py.\n\n(cherry picked from commit 95530a2699086f2f2cd0bfae5759a33a181f4ba2)",
          "is_bot": false,
          "headline": "fix(retriever): strip whitespace from header-supplied retriever lists",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "078815f2a1b4a318ba9c6896e77172070c2770b3",
          "body": "VALID_SORT_CRITERIA holds the API's exact values (citationCount,\npublicationDate) and __init__ asserts membership against them, but then\nstored sort.lower(), turning citationCount into citationcount before it\nwas passed as the 'sort' query param. The Semantic Scholar API expects\nthe camelCase form, so non-default sorts were silently broken. Keep the\nalready-validated value verbatim.\n\n(cherry picked from commit 9a2cdc51aa2a3a0ee2de1c478f6d661bf3b8c575)",
          "is_bot": false,
          "headline": "fix(retriever): preserve camelCase sort criterion for Semantic Scholar",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b9f1192e31e42413f1dacbb9c7bbd9203155067c",
          "body": "SearchAPIRetriever sliced page.get('raw_content', '')[:MAX], but the\ndefault only applies when the key is absent. The scraper explicitly sets\nraw_content=None for pages that failed to scrape, and slicing None raises\nTypeError, crashing context retrieval. Coerce a missing/None raw_content\nto '' before truncating (matching the defensive str() coercion already\nused in compression.py).\n\n(cherry picked from commit 2ffe6df27b4a76d51c0eae7b64ca4bdf584dc374)",
          "is_bot": false,
          "headline": "fix(context): guard SearchAPIRetriever against None raw_content",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "68a9687e6b9e4daac517a1d5e1bb09b173bdc4ab",
          "body": "Validate JSON envelope/list items and harden inverted-index abstract\nreconstruction against non-dict / bad index positions.\n\n(cherry picked from commit a1984fc7ab4038d760b53da7b37b35b6d1d7138b)",
          "is_bot": false,
          "headline": "fix(retriever): guard OpenAlex against malformed result payloads",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8ced8e7789a868e9618ba1eabfce54c050d0213d",
          "body": "Skip non-dict/missing-url rows; accept href/link/snippet aliases and\ntolerate list-shaped JSON envelopes.\n\n(cherry picked from commit ce1d251565a4cb842ad5c3838cee96a1626860a4)",
          "is_bot": false,
          "headline": "fix(retriever): guard GroundRoute against malformed result fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8927ccf4c0f6d01eaf2ef2b1223ab8576b337191",
          "body": "Skip non-dict entries and results without a URL; tolerate href/snippet\naliases and non-dict JSON envelopes.\n\n(cherry picked from commit 859d798ef5991f4d37688186e30e830b61a2206c)",
          "is_bot": false,
          "headline": "fix(retriever): guard Searx against malformed/missing result fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bece998ec58e74fd3341a0723ea18a1a9fb99fea",
          "body": "ddgs may emit link/url and snippet/description; map them to the shared\nretriever schema and skip entries without a URL.\n\n(cherry picked from commit f9cabc9017a05f44a9f51e630c72c7e679779c3b)",
          "is_bot": false,
          "headline": "fix(retriever): normalize DuckDuckGo results to href/body contract",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b55be535e433e6ee67210a502bd04f4bf5d4d259",
          "body": "…jects\n\nsearch / find_similar / get_contents assumed every Exa result always has\n.url / .text / .id. A single incomplete object aborted the list\ncomprehension. Skip rows without a usable href/id and fall back to\nsummary or empty text body for partial hits.\n\n(cherry picked from commit a6419dc7667929bb530a64827815d8f2588353a4)",
          "is_bot": false,
          "headline": "fix(retriever): guard ExaSearch against null url/id/text on result ob…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1f4d302d4d342c52d1367763e7a625a2850ea277",
          "body": "Prefer .get for title/snippet/link so a partial CSE item cannot raise and\nis not silently discarded beyond missing-link cases. Non-dict JSON and\nnon-dict row items return/ skip cleanly to an empty or partial list.\n\n(cherry picked from commit 48cbf35a7dd1c3964b3a576f3ec30c1c381f4543)",
          "is_bot": false,
          "headline": "fix(retriever): guard GoogleSearch against malformed CSE content items",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "70f1c1fa432c7013ff6a5cca360913833e6afaa5",
          "body": "CustomRetriever previously returned None on HTTP failure and passed\nthrough null/non-list JSON payloads. Downstream iteration then raised\nTypeError (or treated the failure as \"no retriever\"), losing the research\nrun. Always return a list, reject non-list JSON as empty, and set a\ntimeout so a hung endpoint cannot block the agent.\n\n(cherry picked from commit 83909e4c63ba39c41dc4d0a386e66edbdc6e5631)",
          "is_bot": false,
          "headline": "fix(retriever): always return a list from CustomRetriever.search",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c84c633830218ccb4983dd5d650b4e5f82eda256",
          "body": "…ields\n\nA single Tavily hit missing \"url\" or \"content\" previously raised KeyError\ninside the list comprehension and dropped all results for the page. Skip\nnon-dict / empty-url hits and fall back to snippet or empty body instead.\n\n(cherry picked from commit 5e27a4530986e1008726b38f02261f5dee895815)",
          "is_bot": false,
          "headline": "fix(retriever): guard TavilySearch against malformed/missing result f…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5b24d3fa9cc8425124bd827d40b2f1c8703b8324",
          "body": "…all results\n\nCRWRetriever.search() indexed obj[\"url\"] for every source in the fastCRW\nresponse. A single source without a \"url\" key raised a KeyError that the broad\nexcept in search() swallowed, discarding every other (valid) source and\nreturning an empty list. Skip url-less sources in the comprehe\n[…]\nresults.\n\nMirrors the defensive normalization already applied to the Serper, Bing,\nSearchApi, BoCha, XQuik and SerpApi retrievers.\n\n(cherry picked from commit a5150968b47d0666a4a8065f9017705939bced34)",
          "is_bot": false,
          "headline": "fix(retriever): skip fastCRW sources missing url instead of dropping …",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d82b1ed4e358ac789efb828c7dd1ba80d0adf874",
          "body": "…fields\n\nSerpApiSearch.search() indexed organic_results and each result's link/title/\nsnippet directly. A SerpApi response with no organic_results (error payload or\na query that matched nothing) raised KeyError, and a single result missing any\nof those keys aborted the whole search() call. Use .get(\n[…]\nh href=None.\n\nThis mirrors the defensive normalization already applied to the Serper, Bing,\nSearchApi, BoCha and XQuik retrievers.\n\n(cherry picked from commit 49d025e33a32c8025dbf841ec3634e7d4c9fc96e)",
          "is_bot": false,
          "headline": "fix(retriever): guard SerpApiSearch against malformed/missing result …",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "17923cf1572740c70dba2df49a38eee0fefd13eb",
          "body": "Bing normalization looped over results outside the try/except and indexed\nresult[\"url\"]/[\"name\"]/[\"snippet\"] directly, so a single result missing any\nkey raised an unhandled KeyError that aborted the entire search(). A response\nwithout a webPages block also raised KeyError instead of returning []. Use\n.get() with defaults and remove the dead 'search_results is None' branch.\n\n(cherry picked from commit bf8defff4b049f7def0581b9e87d32cddd989bd3)",
          "is_bot": false,
          "headline": "fix(retriever): guard BingSearch against malformed/missing result fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ebc17919bf7d591695f5862076925108940ffc6f",
          "body": "An explicit JSON null in the Xquik API response (\"tweets\": null, or a\ntweet with \"author\": null / \"text\": null) slipped past dict.get()'s\ndefault, since get() only substitutes when the key is absent. The\nresulting None crashed author.get()/text[:120]; the broad except in\nsearch() then swallowed the error and silently dropped every result.\nUse 'or' fallbacks, matching the sibling GetXAPI retriever.\n\n(cherry picked from commit b74b07db0d331491161e30ae28c11022311c610e)",
          "is_bot": false,
          "headline": "fix(retriever): guard XquikSearch against null author/tweets/text fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "69e46f45d67266678490058fa804cef5b39fa36c",
          "body": "BoChaSearch indexed json_response['data']['webPages']['value'] directly with\nno error handling, so a non-200 response, a non-JSON body, or a payload\nmissing those keys crashed the whole research run with an unhandled\nKeyError/JSONDecodeError. Every sibling retriever degrades to [] on failure.\nAdd raise_for_status + timeout, catch request/JSON errors, walk the response\ndefensively, and use .get() per result.\n\n(cherry picked from commit 448fccedf9501de6254103cb8f53432b8259ed68)",
          "is_bot": false,
          "headline": "fix(retriever): handle errors and missing keys in BoChaSearch",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cbcb9901c54a2cda0971e3adc4eb7a463407982b",
          "body": "…earch.search\n\nPubMedCentralSearch.search returned None when no article IDs were found\n(search miss or a transient esearch failure). The result is consumed as\na list — actions.query_processing.get_search_results is typed\n-> List[Dict], and skills.researcher does len(search_results) — so a\nzero-hit P\n[…]\n has\nno len() instead of degrading to an empty result set like the other\nretrievers. Return [] and tighten the annotation to List.\n\n(cherry picked from commit 11473f23f2e5f583f5c5b0dbfc3f8730286fc183)",
          "is_bot": false,
          "headline": "fix(retriever): return empty list instead of None from PubMedCentralS…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8a9a4e4cd567b594ebd351c418a6a576a1d5f17a",
          "body": "…earch\n\nSerperSearch.search documents a list return type, and every sibling\nretriever (serpapi/brave/bing/searx) returns [] on error. But three\nerror paths (resp is None, JSON parse failure, JSON null) returned a\nbare None. Callers treat the result as a list — get_search_results is\nannotated -> List\n[…]\nof type 'NoneType' has no len() instead of degrading\nto an empty result set.\n\nReturn [] on all three paths to honour the contract.\n\n(cherry picked from commit ffa6d5f3e1f8cc0ef3d517468ff7168ac7f57545)",
          "is_bot": false,
          "headline": "fix(retriever): return empty list instead of None from SerperSearch.s…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8c4595f5db67b9baa0e0575a7e26a58807b643ca",
          "body": "Closes #1893.\n\nFast-path Document metadata was the raw scraper dict (url=…), but\npretty_print_docs reads metadata.source, so small document sets rendered\nSource: None and reports hallucinated placeholder citations.\n\n(cherry picked from commit c0b3b04e17c220f0e485075f5b19e6bfef1468cc)",
          "is_bot": false,
          "headline": "fix(context): map url to source on compressor fast path",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "17663ab6476b9daa27b2a92f5f2ce8729047aa78",
          "body": "Closes #1894.\n\nlangchain_community ArxivRetriever still calls removed Search.results()\non arxiv>=2.2, causing 100% scrape failure while abstracts still appear\nfrom the retriever. Call arxiv.Client().results() directly.\n\n(cherry picked from commit 269d1e940a82497ac2e0bd530ed174a561b3de1a)",
          "is_bot": false,
          "headline": "fix(scraper): fetch arXiv via Client API not Search.results",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "eb23f296fa6899ef11b8d784977e8b803fd38896",
          "body": "Treat non-dict/null openAccessPdf and non-list data as empty\nresults instead of AttributeError during result normalization.\n\n(cherry picked from commit ec06cf02e2897ca0ddd7f892cd5f120d5365aa7d)",
          "is_bot": false,
          "headline": "fix(retriever): guard Semantic Scholar openAccessPdf shapes",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a03261506fb5962bddc944287ee97b91d4d93e07",
          "body": "Skip non-dict / link-less organic hits instead of KeyError on\ntitle/link/snippet during result normalization.\n\n(cherry picked from commit 7736cd0e74f3f02442ee8a88456310a3ef1ce470)",
          "is_bot": false,
          "headline": "fix(retriever): guard Serper organic items against missing keys",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c8604e1f158cf1c0a0b32ff9bd79b9f59667342b",
          "body": "Removed 'STORM-style' from the description of the research pipeline.",
          "is_bot": false,
          "headline": "Update README to remove 'STORM-style' reference",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T08:46:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1a0a372829048090d153af99ccca2aca326be2ee",
          "body": "…angChain deep agent (#1857)\n\nDeep Agents example with benchmark suite. Builds on core fixes from #1861.",
          "is_bot": false,
          "headline": "Add Deep Agents example: GPT Researcher as the research engine in a L…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-13T07:56:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "47bd8ab5fcbb295b07f16c1f5c1088c932430f3e",
          "body": "…d research pipeline robustness (#1861)\n\nCore pipeline fixes found during DeepResearch Bench benchmarking. Merges before #1857.",
          "is_bot": false,
          "headline": "Fix silently dropped token limits, real usage-based cost tracking, an…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-13T07:56:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bd54bf9fd18f233ed1abebc3fc678f1d02acbf20",
          "body": "Nebius Token Factory exposes an OpenAI-compatible API for 60+ open models\n(DeepSeek, Qwen, Llama, Kimi, ...) and also hosts text-embedding models, so\nGPTR can run both its LLM and its embedding stack on a single provider.\n\n- llm_provider/generic/base.py: register \"nebius\" and add a ChatOpenAI\n  bran\n[…]\n and add a config section\n- tests: unit tests for registration, base-URL wiring, the override, and the\n  missing-key error path\n\nNo new dependencies (reuses langchain-openai). Auth via NEBIUS_API_KEY.",
          "is_bot": false,
          "headline": "feat: add Nebius Token Factory as LLM and embedding provider",
          "author_name": "Oren Levitin",
          "author_login": "teionarr",
          "committed_at": "2026-07-12T09:27:30Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6d0cf55af0eebf447649cf633c34ecd09c7965ae",
          "body": "…head\n\nBENCHMARK.md supporting results now cover SimpleQA parity, the blind\npairwise report comparison (GPTR preferred 5/8, more distinct sources) and\nthe hybrid private-docs study; FRAMES (n=20, within noise) is dropped. Raw\nartifacts behind every published table - official DRB RACE/FACT outputs,\np\n[…]\n, with the\nreport_benchmark.py harness committed for reproduction. README gains a\n\"Running the benchmarks\" section listing exactly what each run needs.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Track benchmark run artifacts and swap FRAMES for the report head-to-…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-05T14:51:28Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "20bd9569e31ecabe598845a348eec547a786a4a2",
          "body": "Co-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Headline the hybrid benchmark's 94% peak coverage instead of the range",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-05T12:15:15Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "456764645b4090394c30f03eba84e50acb63db0f",
          "body": "…ne arm\n\nAnswers the fair objection that stock deepagents could read local docs via\nits own filesystem tools. Adds that arm, and replaces the 4-markdown-file\ntoy corpus with a generated realistic document share (27 files: fact docs\nas PDF/DOCX/markdown, department distractors, stale archived vintage\n[…]\nage,\nfile-tools DIY 62.5% avg (44-88%, cannot parse DOCX, sometimes trusts stale\nvintages), GPT Researcher hybrid 87.5% (81-94%) at equal web coverage.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Harden hybrid benchmark: realistic corpus and a DIY file-tools baseli…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-05T11:45:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "766861ac1e773c03ed91e141fa8ad267832d8a7a",
          "body": "…s coverage\n\nSimpleQA/FRAMES parity shows the heavier pipeline has no accuracy tax on\nsingle-fact lookups, and the hybrid benchmark (fictional internal corpus +\nreal market facts, LLM-judged per checkpoint) shows 95.9% vs 6.2% coverage\nof private-document facts at equal web coverage - a capability raw\nweb-search tooling cannot reach. Ships the reproducible hybrid harness and\ncorpus.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Add supporting benchmarks: Q&A accuracy parity and hybrid private-doc…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-05T11:04:35Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "c58f50da3faf4b76b332528655548c91698b40a6",
          "body": "…ch deep agent\n\nBenchmarks the example against the deepagents quickstart setup (same harness,\nmodel, prompt and step budget; only the research tooling differs) on the\nofficial DeepResearch Bench RACE + FACT pipelines. GPT Researcher tools ground\nreports in 35.2 verified citations on average vs 18.6 \n[…]\nnAI judge backend and keyless-Jina fallback to the benchmark harness, and\nBENCHMARK.md with methodology and results, summarized in the README and docs.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Add DeepResearch Bench results: +89% verified citations over raw-sear…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-05T10:24:01Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5c1ce388d2c40843ab401060190eac4d7b0a2189",
          "body": "…ch pipeline robustness\n\n- Stop nulling max_tokens for no-temperature models (gpt-5.x/o-series):\n  langchain-openai maps it to max_completion_tokens, so output budgets now\n  actually apply. Raised default token limits to give reasoning models\n  headroom for reasoning tokens.\n- Cost tracking now pref\n[…]\nnt loop.\n- Prompt fixes: JSON typo in auto_agent_instructions example, contradictory\n  reference-list instruction, stale \"important to my career\" line.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Fix silently dropped token limits, real usage-based costs, and resear…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-05T09:20:32Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ee008fee27b9e1cf97bb63f342c051f234fcf5a2",
          "body": "…angChain deep agent\n\nAdds deep_agents/, a new multi-agent example where a chief-editor deep agent\nplans with todos, delegates sections to researcher subagents, and uses GPT\nResearcher via quick_search/deep_research tools (web, local or hybrid\nsources), with docs, a Docusaurus page and Mermaid suppo\n[…]\nnAI models to the gpt-5.4 family and fixes the Tavily retriever to\ntranslate site: operators into include_domains and respect the 400-char query\nlimit.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Add Deep Agents example: GPT Researcher as the research engine in a L…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-04T20:09:21Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "18d405166948e11b4a0304c0c4ec440bead9e4a5",
          "body": "security: sanitize untrusted content, add SECURITY.md, pin brotli",
          "is_bot": false,
          "headline": "Merge pull request #1820 from assafelovic/security/content-hardening",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-06-28T18:39:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3080b0c4abb71d9a1f85b3dc26c75eb730634280",
          "body": "Hardens against content-level issues that affect users running GPT-Researcher\nas intended (independent of who can reach the server):\n\n- Add SECURITY.md documenting the threat model (the backend is operator-run and\n  ships without built-in auth by design) and a private vulnerability-reporting\n  chann\n[…]\narlier versions\n  have no decompression size limit (CVE-2025-6176 decompression-bomb DoS).\n\nCloses #1719\nCloses #1659\nCloses #1819\nCloses #1103\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "security: sanitize untrusted content, add SECURITY.md, pin brotli",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-06-28T18:36:33Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "409b8b60b477d50f2f844bc9598d1bcb7b056eee",
          "body": "Fix Azure blob loader path handling",
          "is_bot": false,
          "headline": "Merge pull request #1817 from konnisan/fix-azure-blob-loader-paths",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-06-23T18:06:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "06136d677e3dac5f726a35c9d7672d8bb7bc6daf",
          "body": "Update web_scraping.py",
          "is_bot": false,
          "headline": "Merge pull request #1816 from Joly0/main",
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          "last_comment_at": "2026-01-28T19:14:58Z",
          "last_comment_author": "TheSpaceGod"
        },
        {
          "number": 1605,
          "created_at": "2026-01-28T19:07:19Z",
          "last_comment_at": "2026-01-28T19:51:53Z",
          "last_comment_author": "TheSpaceGod"
        },
        {
          "number": 1617,
          "created_at": "2026-01-31T20:35:09Z",
          "last_comment_at": null,
          "last_comment_author": null
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      ]
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    "disabled_metrics": [],
    "disabled_categories": [],
    "disabled_components": {}
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  "source": {
    "url": "https://github.com/assafelovic/gpt-researcher",
    "host": "github.com",
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    "owner": "assafelovic"
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  "metrics": {
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      "key": "overall",
      "band": "good",
      "name": "Overall health",
      "note": null,
      "notes": [],
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      "inputs": {
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        "vitality": 93,
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      "components": []
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    "categories": [
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        "key": "vitality",
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        "name": "Vitality",
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        "weight": 0.22,
        "metrics": [
          {
            "key": "development_activity",
            "band": "excellent",
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            "note": null,
            "notes": [],
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              "active_weeks_last_year": 46
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            "components": [
              {
                "key": "push_recency",
                "name": "Push recency",
                "detail": "last push 8 days ago",
                "points": 28.8,
                "status": "partial",
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                  {
                    "code": "push_recency",
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                      "days": 8
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                "max_points": 36
              },
              {
                "key": "commit_cadence",
                "name": "Commit cadence",
                "detail": "46/52 weeks with commits",
                "points": 31.8,
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                  }
                ],
                "max_points": 36
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              {
                "key": "commit_volume",
                "name": "Commit volume",
                "detail": "372 commits in the last year",
                "points": 18,
                "status": "met",
                "details": [
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                "max_points": 18
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              {
                "key": "openssf_scorecard_maintained",
                "name": "OpenSSF Scorecard: Maintained",
                "detail": "30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            ]
          },
          {
            "key": "release_discipline",
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            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
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              },
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            "value": 100,
            "inputs": {
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              "days_since_latest_release": 8,
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            "components": [
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                "key": "ships_releases",
                "name": "Ships releases",
                "detail": "72 releases published",
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                "status": "met",
                "details": [
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                    "code": "releases_published",
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                      "count": 72
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              {
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                "details": [
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              {
                "key": "release_cadence",
                "name": "Release cadence",
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                "status": "met",
                "details": [
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                    "code": "release_cadence",
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                ],
                "max_points": 27
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              {
                "key": "openssf_scorecard_signed_releases",
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                "status": "excluded",
                "details": [
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                ],
                "max_points": 10
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            ]
          },
          {
            "key": "abandonment",
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            "note": null,
            "notes": [],
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            "inputs": {
              "cap": null,
              "state": "maintained",
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              "multiplier_pct": 100,
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                "details": [
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                "max_points": 100
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            ]
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        ],
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      },
      {
        "key": "community",
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        "name": "Community & Adoption",
        "value": 89,
        "weight": 0.18,
        "metrics": [
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            "note": null,
            "notes": [],
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              "watchers": 168,
              "growth_state": "unverified",
              "growth_factor_pct": 100,
              "growth_unverified_reason": "no_history"
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            "components": [
              {
                "key": "stars",
                "name": "Stars",
                "detail": "28,654 stars",
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                "status": "met",
                "details": [
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                    "code": "stars",
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                ],
                "max_points": 60
              },
              {
                "key": "forks",
                "name": "Forks",
                "detail": "3,866 forks",
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                "details": [
                  {
                    "code": "forks",
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                      "count": 3866
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                ],
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              },
              {
                "key": "watchers",
                "name": "Watchers",
                "detail": "168 watchers",
                "points": 12.4,
                "status": "partial",
                "details": [
                  {
                    "code": "watchers",
                    "params": {
                      "count": 168
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                  }
                ],
                "max_points": 15
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            ]
          },
          {
            "key": "community_health",
            "band": "excellent",
            "name": "Community health",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_readme": true,
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              "has_contributing": true,
              "has_issue_template": false,
              "has_code_of_conduct": true,
              "has_pull_request_template": false
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            "components": [
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                "key": "readme",
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                "points": 22.5,
                "status": "met",
                "details": [],
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              },
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                "key": "license",
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                "detail": "recognized license (Apache-2.0)",
                "points": 22.5,
                "status": "met",
                "details": [
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                  {
                    "code": "license_spdx",
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                "key": "contributing_guide",
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                "status": "met",
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              },
              {
                "key": "code_of_conduct",
                "name": "Code of conduct",
                "detail": null,
                "points": 13.5,
                "status": "met",
                "details": [],
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              },
              {
                "key": "issue_template",
                "name": "Issue template",
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                "points": 0,
                "status": "missed",
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              {
                "key": "pr_template",
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            ]
          },
          {
            "key": "ecosystem_adoption",
            "band": "good",
            "name": "Ecosystem adoption (downloads)",
            "note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 82,
            "inputs": {
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              "dependents": null,
              "ecosystems": "pypi",
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              "monthly_downloads": 86471
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            "components": [
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                "key": "monthly_downloads",
                "name": "Monthly downloads",
                "detail": "86,471 downloads/month across pypi",
                "points": 65.8,
                "status": "partial",
                "details": [
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                    "code": "downloads_monthly",
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                  }
                ],
                "max_points": 80
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              {
                "key": "registry_dependents",
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                "points": 0,
                "status": "excluded",
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                "max_points": 20
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        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
      },
      {
        "key": "governance",
        "band": "moderate",
        "name": "Sustainability & Governance",
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        "weight": 0.24,
        "metrics": [
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            "notes": [],
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "status": "partial",
                "details": [
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                    "code": "top_contributor_share",
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                "max_points": 22.5
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                "key": "contributor_breadth",
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                "status": "met",
                "details": [
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                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 13 contributing companies or organizations",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            "key": "responsiveness",
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            "note": null,
            "notes": [],
            "value": 68,
            "inputs": {
              "merged_prs": 571,
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              "closed_issues": 677,
              "issue_closed_ratio": 0.939,
              "closed_unmerged_prs": 390
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            "components": [
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                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "94% of issues closed",
                "points": 43.9,
                "status": "partial",
                "details": [
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "detail": "571/961 decided PRs merged",
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                "status": "partial",
                "details": [
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                    "code": "decided_prs_merged",
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 1/9 approved changesets -- score normalized to 1",
                "points": 1.5,
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            ]
          },
          {
            "key": "stewardship",
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            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
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              {
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            "value": 68,
            "inputs": {
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            "components": [
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                "details": [
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              {
                "key": "owner_reach",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "ecosystems": "pypi",
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        "metrics": [
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            "notes": [],
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            "inputs": {
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              {
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            ]
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        ],
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        "band": "good",
        "name": "Security",
        "value": 70,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 62,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 3,
              "scorecard_aggregate": 6.2
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "8 out of 9 merged PRs checked by a CI test -- score normalized to 8",
                "points": 2,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/9 approved changesets -- score normalized to 1",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 13 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:gpt-researcher@0.16.0 runtime dependency closure — what installing the published package pulls in — 159 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:gpt-researcher@0.16.0",
                  "assessed": 159
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 159,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 159,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 4
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 80,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.95,
              "agent_instruction_files": [
                ".cursorrules"
              ],
              "agent_instruction_max_bytes": 5937
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": ".cursorrules",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".cursorrules"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "95 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 95,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 69,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "frontend/nextjs/tsconfig.json"
              ],
              "agent_commit_share": 0.13,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": ".eslintrc.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".eslintrc.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "frontend/nextjs/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "frontend/nextjs/tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "13 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 13,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 84260,
              "source_files_sampled": 367,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (frontend/nextjs/tsconfig.json)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "frontend/nextjs/tsconfig.json",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/367 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 367,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "excellent",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": true,
              "api_schema_files": [
                ".triage/engagement.graphql"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": ".triage/engagement.graphql",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".triage/engagement.graphql"
                    }
                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Could not fetch npm package 'simple_js_test' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T00:33:25.772155Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/assafelovic/gpt-researcher.svg",
  "full_name": "assafelovic/gpt-researcher",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}