Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-26 19:04 UTC

antonyrag / ragleap-core

The open-source core of RagLeap — a self-hosted RAG chat engine (document ingestion, retrieval, citations) powering RagLeap's full AI business manager: Voice AI, WhatsApp/Telegram/Discord bots, database & CRM integrations, workflow automation, and a private executive assistant. Foundation layer — hosted platform at ragleap.com

PythonMIT★ 2 stars⑂ 1 forksince Jul 2026View on GitHub ↗

antonyrag/ragleap-core holds a health index of 43 out of 100, placing it in the At risk band. It scores highest on Engineering Quality (71/100) and lowest on Security (27/100). It was last updated today. A single contributor accounts for most of its recent work.

43
overall / 100
At risk

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

43
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

Ownership

TC AntonyPersonal account
0 followers1 public reposince Mar 2026

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIragleap-rag0.6.02,085220 days agohybrid-searchllmpgvectorragretrieval-augmented-generationvector-search

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

34At risk · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
2.8/36Commit cadence — 4/52 weeks with commits
17.3/18Commit volume — 84 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year84
human_commit_share1
days_since_last_push0
active_weeks_last_year4
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

46At risk · 18% of overall
How it's scored
0/60Stars — 2 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductyes
has_pull_request_templateyes
How it's scored
44.3/80Monthly downloads — 2,085 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesragleap-rag
dependents
ecosystemspypi
total_downloads
monthly_downloads2,085
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

36At risk · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/46.8Issue resolution — 0% of issues closed
36.7/38.3PR acceptance — 48/50 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs48
open_issues11
closed_issues0
issue_closed_ratio0
closed_unmerged_prs2
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
0/25Owner reach — 0 followers of antonyrag
3/25Track record — 1 public repos, account ~0 yr old
Inputs used
followers0
owner_typeUser
is_verified
owner_loginantonyrag
public_repos1
account_age_days139
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 22 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesragleap-rag
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 20% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://ragleap.com
10/10Repository description
10/10Topics — 18 topics
10/10Wiki
Inputs used
topicsai-agents, business-automation, database-integration, document-qa, document-qa-agent, executive-assistant, executive-assistant-agent, intelligent-automation, intelligent-automation-platform, llm, multi-tenant, multi-tenant-saas, open-core, saas, self-hosted, voice-ai, workflow-automation, rag-ai-chatbot
has_wikiyes
homepagehttps://ragleap.com
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

27Critical · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 56 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2.7
Excluded from scoring (no data or not applicable): packaging, signed_releases. Remaining weights renormalized.

AI Readiness

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.

39At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 85 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 85
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/70 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes30,306
source_files_sampled70
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files

Key facts

2GitHub stars
1contributors
84commits, last 12 months
0days since last push
0releases
1bus factor
11open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:ragleap-rag@0.6.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 2.7 / 10
2.7aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-26 19:04 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities56 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIpsycopg2-binary>=2.9.0packages/ragleap-rag/pyproject.toml
PyPIrequests>=2.31.0packages/ragleap-rag/pyproject.toml
PyPIpypdf>=4.0.0packages/ragleap-rag/pyproject.toml
PyPIpython-docx>=1.1.0packages/ragleap-rag/pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Raw JSON report machine-readable
{
  "data": {
    "repo": {
      "topics": [
        "ai-agents",
        "business-automation",
        "database-integration",
        "document-qa",
        "document-qa-agent",
        "executive-assistant",
        "executive-assistant-agent",
        "intelligent-automation",
        "intelligent-automation-platform",
        "llm",
        "multi-tenant",
        "multi-tenant-saas",
        "open-core",
        "saas",
        "self-hosted",
        "voice-ai",
        "workflow-automation",
        "rag-ai-chatbot"
      ],
      "is_fork": false,
      "size_kb": 363,
      "has_wiki": true,
      "homepage": "https://ragleap.com",
      "languages": {
        "Shell": 1793,
        "Python": 347353,
        "Dockerfile": 288
      },
      "pushed_at": "2026-07-26T18:59:29Z",
      "created_at": "2026-07-04T19:04:47Z",
      "owner_type": "User",
      "updated_at": "2026-07-26T18:56:44Z",
      "description": "The open-source core of RagLeap — a self-hosted RAG chat engine (document ingestion, retrieval, citations) powering RagLeap's full AI business manager: Voice AI, WhatsApp/Telegram/Discord bots, database & CRM integrations, workflow automation, and a private executive assistant. Foundation layer — hosted platform at ragleap.com",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "MIT",
      "default_branch": "main",
      "license_spdx_raw": "MIT",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://ragleap.com",
      "name": "TC Antony",
      "type": "User",
      "login": "antonyrag",
      "company": null,
      "location": null,
      "followers": 0,
      "avatar_url": "https://avatars.githubusercontent.com/u/266746712?v=4",
      "created_at": "2026-03-09T13:23:05Z",
      "is_verified": null,
      "public_repos": 1,
      "account_age_days": 139
    },
    "license": {
      "state": "standard",
      "spdx_id": "MIT",
      "raw_spdx": "MIT",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [],
      "recent_commits": [
        {
          "oid": "3a00e4bdd26232a38783aa210683b97e13e475ed",
          "body": "Decouples vector storage from conversation memory - RagLeap now\naccepts vector_backend= to swap storage away from the default\nPgVectorBackend. Conversation memory always uses Postgres regardless\nof vector backend choice, since memory is a separate concern from\nvector storage.\n\nNew: ragleap.vectorsto\n[…]\ns actually run there, not just locally.\n\nFull suite: 83/83 passing (73 existing + 10 new) before this commit.\nVersion bumped 0.5.8 -> 0.6.0 (new public API surface warrants a\nminor bump, not a patch).",
          "is_bot": false,
          "headline": "feat: pluggable vector storage backends (0.6.0) (#62)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-26T18:56:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "23f58e3bbbf62a3091e5cf0803ad6eaf73b48347",
          "body": "…ormers (0.5.8) (#61)\n\nReplaces sentence-transformers (which pulls in a 2GB+ torch+CUDA\ninstall even for CPU-only inference) with ONNX Runtime + tokenizers +\nhuggingface_hub. A quantized cross-encoder (Xenova/ms-marco-MiniLM-L-6-v2,\n~23MB int8) downloads once on first rerank=True call and is cached\n\n[…]\nallers who passed a custom model explicitly - default behavior\nunaffected.\n\npyproject.toml's [rerank] and [all] extras updated accordingly.\nVersion bumped 0.5.7 -> 0.5.8. README and CHANGELOG updated.",
          "is_bot": false,
          "headline": "feat: reranking runs on ONNX Runtime instead of torch/sentence-transf…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-25T11:05:56Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "02be0824dd8682aa297d021bb830a5f205d0fdf5",
          "body": "….7) (#60)\n\nask_stream() and aask_stream() were missing the rerank= and\nmetadata_filter= params that ask()/aask() already had - a real,\npreviously-flagged API inconsistency (Part 5 pending list item).\n\nBoth streaming variants now expand the retrieval pool (top_k*4) and\ncall the reranker when rerank=\n[…]\neranker on both ask_stream() and\naask_stream(), and rerank=False never invoking it. Full suite (71/71)\npassing locally before this commit.\n\nVersion bumped 0.5.6 -> 0.5.7. README and CHANGELOG updated.",
          "is_bot": false,
          "headline": "fix: ask_stream()/aask_stream() missing rerank + metadata_filter (0.5…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-25T06:30:27Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e324599b9b44f57e754d88d329abc536dcffea1a",
          "body": "…(#59)\n\nReconstructed from real PR history (#35-#58), not memory - every\nversion entry links to its actual merged PR. Covers the full history:\ninitial release, the embedder_api_key -> EmbeddingConfig breaking\nchange in 0.2.0, every feature through 0.5.6 (Redis cache + batch\ningestion), and the two u\n[…]\nte) that don't warrant their own version bump.\n\nAlso documents the update_document() metadata-loss limitation inline\nat the version it was introduced (0.4.5), matching the locked-in test\nadded in #58.",
          "is_bot": false,
          "headline": "docs: add CHANGELOG.md for ragleap-rag (0.1.0 -> 0.5.6 + unreleased) …",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-25T06:08:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "58ea145480bf5e6cd60778a992ea99f32b62857f",
          "body": "Adds a real automated test suite for the core RAG engine (67 tests,\n11 files) - the first automated testing this package has had; all\nprior verification this project was manual, live-testing per feature.\n\nCoverage: ingestion (chunking, sanitization, injection-risk warning,\nmetadata storage), documen\n[…]\nompile-check and docker-build-and-smoke-test jobs, which test the\nmain platform, not this package). Dry-run verified locally against a\nreal Postgres instance (67/67 passing, 8.95s) before this commit.",
          "is_bot": false,
          "headline": "test: comprehensive pytest suite for ragleap-rag + CI integration (#58)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-25T04:58:21Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3aa87a65c63bf869bd8d9c22759ee88264df2227",
          "body": "Documents the one constraint that actually matters for background task\nusage: RagLeap's connection pool is per-instance and not fork-safe\nacross processes. Covers the correct pattern (build RagLeap inside\nworker_process_init, not at module import time), a full Redis-broker\ncode example, and an archi\n[…]\n+ collapsed whitespace/alignment) on\nfirst attempt - caught via the standard bracket-view verification step,\nfixed by base64-round-tripping the diagram content rather than pasting\nraw ASCII art again.",
          "is_bot": false,
          "headline": "docs: Celery integration guide + example (#57)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-24T19:14:34Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "48df3586e22146bcceac31c90d482ba22f346c03",
          "body": "…#56)\n\nRedis query embedding cache:\n- New RedisQueryEmbeddingCache class (src/ragleap/cache.py), same\n  get/set/clear/stats interface as the existing in-memory cache\n- RagLeap.__init__() gains cache_backend, redis_url, cache_ttl_seconds\n- Verified across process boundaries: two separate RagLeap inst\n[…]\nmethods now have async\ntwins, closing a gap where only 2 of 6 previously did.\n\nVersion bumped 0.5.5 -> 0.5.6 in both pyproject.toml and __init__.py.\nREADME documents both features in this same commit.",
          "is_bot": false,
          "headline": "feat: Redis-backed distributed query cache + ingest_batch() (0.5.6) (…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-24T18:39:41Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a8c95b69584107bbf0d85fa1b71c2b7e026767e6",
          "body": "Directly answers a question raised this session: should users be\nlocked into just Whisper/Deepgram, or able to bring any provider\nthey judge better (AssemblyAI, Speechmatics, Azure Speech, AWS\nTranscribe, etc.)? Previously the answer was 'wait for ragleap-rag to\nadd it' - now it is not.\n\n- Transcrip\n[…]\n correctly ingested and retrievable via a grounded ask()\nanswer that accurately quoted the custom function's output, and\nvalidation correctly rejected provider='custom' with no transcribe_fn\nsupplied.",
          "is_bot": false,
          "headline": "feat: custom transcription provider support (provider='custom') (#55)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-23T18:38:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "709237024eb1f34cce15b0d3f2f576a74d619ef7",
          "body": "Fifth and final part of the multi-modal ingestion milestone.\n\n- New video.py: extract_audio_from_video() extracts a video is audio\n  track as MP3 via ffmpeg (a system dependency, not pip-installable,\n  same class as Tesseract for OCR). Proper temp file cleanup on all\n  paths including error cases.\n-\n[…]\n video content, not just placeholder\nbytes. Combined with the live Deepgram transcription test above, both\nhalves of ingest_video()'s pipeline are now genuinely proven, not\njust structurally verified.",
          "is_bot": false,
          "headline": "feat: video ingestion (ffmpeg audio extraction + transcription) (#54)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-23T09:06:35Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "1b2e7c697824a3e9411052ca6b9f029c452c4595",
          "body": "Fourth part of the multi-modal ingestion milestone. Pluggable\ntranscription providers rather than a hardcoded Whisper-only path,\ndirectly addressing a real question raised this session: does\nWhisper handle multi-language/low-volume/noisy audio correctly, or\nshould users be able to bring their own pr\n[…]\nnd\ntranscription against a real provider is untested and should be done\nin a follow-up once a key is available, before this can be considered\nfully proven the way every other feature this session was.",
          "is_bot": false,
          "headline": "feat: audio ingestion (Whisper + Deepgram, pluggable) (#53)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T18:59:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e08158c35e4908010b796119cb4d8eedefeab180",
          "body": "Third part of the multi-modal ingestion milestone. Two genuinely\ndifferent techniques for two different kinds of images - one does\nnot substitute for the other.\n\n- New ocr.py: extract_text_from_image() wraps pytesseract, reads\n  literal visible text (scanned documents, screenshots, photos of\n  text)\n[…]\nle); vision\ncaptioning correctly identified 'red' and 'circle' from an image\ncontaining a colored shape and zero text, proving it's genuinely\ndescribing visual content rather than falling back to OCR.",
          "is_bot": false,
          "headline": "feat: image ingestion (OCR + vision captioning) (#52)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T05:14:18Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "958238e564296073d04afbb95d03f3b3558a1a09",
          "body": "Missed in the previous commit - only pyproject.toml's version was\nstaged, __init__.py's __version__ was left at 0.5.0. Caught via a\nroutine git status check before publishing, not after.",
          "is_bot": false,
          "headline": "fix: bump __version__ to match pyproject.toml (0.5.1) (#51)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T04:40:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bcd10be7d2269508e717716ad759735fe19af886",
          "body": "Second part of the multi-modal ingestion milestone. Previously\ningest()/ingest_text() supported only txt/pdf/docx - a real gap\nagainst LangChain's 100+ document loaders. This adds 25 more format\nhandlers across office documents, spreadsheets, structured data,\nmarkup, archives, and subtitle files.\n\n-\n[…]\nxtraction via a real openpyxl workbook), ZIP (correctly\nrecursed into and extracted both a nested .txt and .json file), and\nSRT (cue numbers and timestamps correctly stripped, spoken lines\npreserved).",
          "is_bot": false,
          "headline": "feat: expanded document format support (28 formats) (#50)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T04:31:22Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3f1f732fe8555666be42960bd0d8bc0e263f2c1b",
          "body": "First of the multi-modal ingestion additions - directly closes part\nof the 'document loader breadth' gap flagged against LangChain, which\nhas 100+ loaders vs ragleap-rag's previous txt/pdf/docx-only support.\n\n- New web.py: fetch_url_text() wraps trafilatura, extracting clean\n  readable text (strippi\n[…]\non (5\nchunks), then asked 'What is retrieval-augmented generation?' and got\na genuinely accurate, well-grounded answer with correct citations\nshowing the URL as document_name across 3 distinct chunks.",
          "is_bot": false,
          "headline": "feat: URL ingestion (ingest_url) (#49)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T19:08:42Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "457056ac1b16ca73af2e43c1a2987f25d3f306a1",
          "body": "Resolves a real ambiguity flagged in the gap analysis: a citation\nlike \"(Source 1)\" in an answer previously gave no way to tell\nwhether it referred to a whole document or one specific passage\nwithin it. It was always chunk-level internally, but this was never\ndocumented or exposed - a real gap for a\n[…]\ncit chunk-level format, and the returned citations\nlist correctly mapped each source_number to the right document_name,\nchunk_index, and a verifiable text_preview matching what was actually\nretrieved.",
          "is_bot": false,
          "headline": "feat: citation clarity (chunk-level, structured citations) (#48)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T18:48:27Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "fc0099285c13d48e7803b873f8d69e9a5ff097c6",
          "body": "Adds defensive measures at ingest time, a real gap flagged directly\nagainst RAG's known attack surface - malicious content embedded and\nlater surfaced to an LLM via retrieval.\n\nHonest scope, stated explicitly in the module docstring and README:\nthis reduces risk, it does not eliminate it. Prompt inj\n[…]\nary business text (no\nfalse positive); confirmed ingest_text() logs the expected WARNING for\nsuspicious content but still successfully ingests it, proving this is\na signal, not a block, as documented.",
          "is_bot": false,
          "headline": "feat: content sanitization and injection-risk detection (#47)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T09:50:05Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "813ac387af213f39273cfb1d4c07fd23dd907cc3",
          "body": "…gs) (#46)\n\nAdds JSONB metadata storage and Postgres-native containment filtering,\nthe basis for multi-tenant isolation - a real gap flagged directly\nagainst the resume's claimed workspace-scoped multi-tenant work,\nwhich had no equivalent in the public API until now.\n\n- New metadata JSONB column on \n[…]\nenant: acme} answer\nmentioned ONLY the acme secret, never the globex one, and vice versa -\nconcrete proof the JSONB filter genuinely restricts retrieval rather\nthan being silently accepted as a no-op.",
          "is_bot": false,
          "headline": "feat: metadata filtering (multi-tenant, date-range, arbitrary JSON ta…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T09:40:28Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "2b10adc9acdced8c74060fe309a868a6ad104bdd",
          "body": "…ument) (#45)\n\nAdds methods to manage previously ingested content, which was\npreviously missing entirely - a real production gap since content\ninevitably needs removing or refreshing over time.\n\n- list_documents(limit, offset): documents newest-first, joined with\n  a live chunk count via GROUP BY, n\n[…]\nts,\nconfirmed ask() reflects the updated content (not the original) after\nupdate, confirmed delete_document removes a real document and\ncorrectly returns False (not an exception) for a nonexistent id.",
          "is_bot": false,
          "headline": "feat: document lifecycle (list_documents, delete_document, update_doc…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T08:44:46Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "955f1c6e15fca33510901499e144b82445910c31",
          "body": "Adds async equivalents for every method that touches the database or\nan API, for use inside async web servers (FastAPI, etc.) where a\nblocking sync call would stall the event loop.\n\nHonest implementation note: these wrap the existing, tested sync\nmethods via asyncio.to_thread() rather than a from-sc\n[…]\nency proof: 3 concurrent aask() calls\ncompleted in 5.94s total, well under 3x a single call's typical time,\nconfirming the threading wrapper is genuinely non-blocking rather than\nsilently serializing.",
          "is_bot": false,
          "headline": "feat: async support (aingest, aingest_text, aask, aask_stream) (#44)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T08:28:15Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "60578a0cb46f69d151d6270094d9dddb2d90b7ce",
          "body": "Repeated identical queries were re-embedding from scratch every time.\nAdds an in-memory LRU cache (1000 entries by default) keyed on\n(query text, embedding model) - safe to enable by default since an\nembedding is a pure function of its inputs.\n\n- New QueryEmbeddingCache (cache.py): simple OrderedDic\n[…]\nes + Gemini - three calls (repeat query, repeat same query,\nthen a different query) produced exactly the expected hits=1, misses=2,\nwith the cache-hit call measurably faster than the cache-miss calls.",
          "is_bot": false,
          "headline": "feat: query embedding caching (in-memory LRU, opt-out) (#43)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T05:12:09Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "5079e63e90d4f3e0ad7e2a1340094620877b5faa",
          "body": "Every DB-touching method (ingest_text, ask via retrieval, memory's\nadd_message/get_history/clear_session) previously opened a brand-new\npsycopg2 connection per call and closed it immediately after - a\nfresh TCP handshake + Postgres auth on every single operation, real\navoidable latency especially un\n[…]\nssful ingest,\n5 sequential ask() calls with session memory completing without\nconnection errors, history correctly accumulating and clearing.\nNo functional regressions in retrieval or memory behavior.",
          "is_bot": false,
          "headline": "feat: connection pooling for all database access (#41)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T04:50:05Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "02d36d63d73b2e1f99ba0323f0613b19d243a785",
          "body": "PR #39 shipped cross-encoder reranking but the README was not\nupdated - same gap the conversation memory feature had before\n(PR #38 fixed that one). Adding this now rather than letting it\ngo unnoticed for another release cycle.\n\nNew Reranking section covers: rerank=True usage, the [rerank]\nextra ins\n[…]\nith full python3 -m build, confirmed via wheel\nMETADATA inspection that the Reranking section and rerank=True\nusage are present, published as part of 0.4.0:\nhttps://pypi.org/project/ragleap-rag/0.4.0/",
          "is_bot": false,
          "headline": "docs: document reranking (rerank=True) (#40)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T04:29:33Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "854390e4fa4ec5d09f676a1ea416b59f47d7626b",
          "body": "Adds rerank=True option to ask() for cross-encoder reranking of\nretrieved chunks before generation. Off by default — no breaking\nchange, no new dependency unless explicitly opted into.\n\n- New RerankerService (reranking.py), lazy-loads sentence-transformers'\n  CrossEncoder (cross-encoder/ms-marco-Min\n[…]\ny (only on\nfirst rerank=True call, visible via the weights-loading progress bar),\nand reranked results genuinely differ from unranked top-k (better\nsource precision in the reranked answer's citation).",
          "is_bot": false,
          "headline": "feat: cross-encoder reranking (session-scoped, opt-in) (#39)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T03:55:17Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "774e099909c54b183d86a82f695ee4fe634b2883",
          "body": "…ory (#38)\n\nThe Reliability/fallback example in README.md still referenced the\npre-0.2.0 embedder_api_key= parameter, which no longer exists on\nRagLeap.__init__() (replaced by embedder=EmbeddingConfig(...) in PR\n#36). It was still showing on PyPI as the documented usage for that\nexample even after 0\n[…]\n was accidentally wheel-only), confirmed via wheel METADATA\ninspection that embedder_api_key is gone and the new memory docs are\npresent, published to PyPI: https://pypi.org/project/ragleap-rag/0.3.1/",
          "is_bot": false,
          "headline": "docs: fix stale embedder_api_key reference, document conversation mem…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-20T19:15:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ae9477ac39851c1c14453fa12aaa011542a5ced8",
          "body": "…) (#37)\n\nAdds multi-turn conversation memory to ask()/ask_stream() via an\nopt-in session_id parameter. Omitting session_id preserves fully\nstateless behavior — no breaking change.\n\n- New ConversationMemory class (memory.py): add_message, get_history,\n  clear_session, build_history_prompt — mirrors \n[…]\ntly\nresolved pronoun references ('he', 'his') using only stored context,\nhistory correctly persisted and retrievable via get_history(), and\nclear_session() confirmed to fully wipe a session's history.",
          "is_bot": false,
          "headline": "feat: persistent conversation memory (session-scoped, Postgres-backed…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-20T18:55:43Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "84f6725f6059be59aaf313b4d396677a9e0e5180",
          "body": "Breaking change: RagLeap.__init__() now takes embedder: EmbeddingConfig\ninstead of embedder_api_key: Optional[str]. Fixes a design flaw where\nembeddings were hardcoded to Gemini regardless of the [gemini]/[anthropic]\n/[openai] extras, contradicting the package's BYOK claim — those extras\nonly ever g\n[…]\ned to 0.2.0, published to PyPI: https://pypi.org/project/ragleap-rag/0.2.0/\n- Verified end-to-end: fresh venv install, real ingest + ask against\n  live Postgres + Gemini, correct token usage reporting",
          "is_bot": false,
          "headline": "feat: pluggable embeddings via EmbeddingConfig (gemini + openai) (#36)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-20T18:36:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a5a9a4be93193b14e1760fd9d51e56da357debd3",
          "body": "…(#35)\n\nFirst installable package split out from ragleap-core, per the\nPhase A/B/C ecosystem plan: pip install ragleap-rag, own pyproject.toml,\nown PyPI listing (name confirmed available).\n\nDeliberately RAG-only — no knowledge-graph, language-detection, or\nintegrations coupling baked in. Those becom\n[…]\ngainst the live\nPostgres database, getting a correct answer with real token usage\nnumbers back. This proves the package works standalone, not just\nthat the files happen to compile inside the monorepo.",
          "is_bot": false,
          "headline": "feat: ragleap-rag — standalone pip-installable RAG package (Phase A) …",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-18T17:44:50Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e3804cbc508704cd0aa7080002afeac6e41f098f",
          "body": "…iability docs (#34)\n\n- Restore the 'Integrations' README section and Features table row,\n  which were lost during a prior merge (PR #22's docs commit never\n  made it into that squash merge — confirmed via git log --follow\n  showing the docs commit missing from the merged diff). Also fixes\n  the hos\n[…]\nncluding known limitations\n  (no streaming usage reporting yet, character-count approximation\n  for context budget, hybrid search not yet benchmarked for ranking\n  quality on a multi-document corpus).",
          "is_bot": false,
          "headline": "docs: restore lost Integrations section, add Retrieval/Generation/Rel…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-18T11:20:53Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6596f771faeb508a7a48a7bb2185e00a319f6e0b",
          "body": "Real, verifiable token optimization — not a marketing claim, numbers\na developer can reproduce themselves.\n\n- core/generation.py: generate_answer() now returns actual token usage\n  (prompt_tokens, completion_tokens, total_tokens) pulled from each\n  provider's real response (Gemini's usage_metadata, \n[…]\ned prompt+completion\nbecause thinking-model 'thoughts' tokens are billed but not part of\nthe visible split — our reporting surfaces the real number rather\nthan a recalculated one that would hide this.",
          "is_bot": false,
          "headline": "feat: real token usage reporting + context budget trimming (#33)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-18T05:20:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "79c351b18297ca58227a2660e5cf80a4b49df2db",
          "body": "If the primary LLM_PROVIDER fails (rate limit, outage, bad key), retry\nwith each provider in LLM_FALLBACK_PROVIDERS (comma-separated), in\norder, before giving up.\n\n- core/generation.py: refactored provider resolution into a standalone\n  _resolve_provider_config() function (required=True for the prim\n[…]\nh generate_answer() and generate_answer_stream().\nConfirmed provider_used flows correctly through the full HTTP /chat\nendpoint under normal (non-fallback) operation, returning\nprovider_used: 'gemini'.",
          "is_bot": false,
          "headline": "feat: LLM provider fallback chain (#31)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T19:06:21Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a2a6c1a9589c99e4134fa697868704383016a147",
          "body": "…s (#30)\n\nReal, tested developer-facing controls, not surface-level flags:\n\n- core/retrieval.py: new search_sparse_chunks() (Postgres full-text\n  search via websearch_to_tsquery + ts_rank) and search_hybrid_chunks()\n  (combines dense + sparse via Reciprocal Rank Fusion, RRF_K=60,\n  still applies the\n[…]\nefit on a multi-document corpus with genuinely conflicting dense\nvs. sparse rankings — only single-document correctness. Worth a\nfollow-up benchmark before making comparative retrieval-quality claims.",
          "is_bot": false,
          "headline": "feat: hybrid search (dense+sparse), streaming, and generation control…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T18:39:37Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "200493c14154dd483fa9b047eea1bb7915bfda7c",
          "body": "… (#23)\n\n- Add a note distinguishing this repo (MIT, free, no license key) from\n  install.ragleap.com (separate paid, license-gated self-hosted product)\n- Update the status badge, stale since it only listed 3 channels —\n  now reflects 4 channels + Knowledge Graph + multilingual detection\n  + integrations, all merged",
          "is_bot": false,
          "headline": "docs: clarify install.ragleap.com naming overlap, update status badge…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T04:31:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "59b9fa5557ebff3fff6fcfb868307419e468075a",
          "body": "Opens the integrations/CRM connectors feature, ported from production's\napi/addon_models.py + api/addon_services.py (workspace scoping removed,\nsingle-tenant; Django ORM replaced with plain dataclass + psycopg2,\nmatching core/ingest.py's pattern).\n\n- core/integrations/base.py: DataSource dataclass, \n[…]\nmatically\ninjected into chat responses — core/chat.py would need a lookup by\nuser_identifier per channel, which requires each channel adapter to\nknow its own user's identifier, a reasonable next step.",
          "is_bot": false,
          "headline": "feat: add external data source integrations (9 connectors) (#22)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T04:15:17Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e1226546298c2278595c1a2451813fe4d530aa6b",
          "body": "* feat: add language detection (langdetect) to ingestion and chat\n\n- Add core/language.py: LanguageDetector class ported from production's\n  multilingual/language_detector.py, single-tenant, Django settings\n  replaced with .env vars. Includes script-based heuristics (CJK/Hangul/\n  Kana), confidence \n[…]\n confirmed working, and known limitations (langdetect's language\n  coverage vs. the hosted platform's, short-query misdetection risk,\n  and that detection doesn't yet steer the AI's response language)",
          "is_bot": false,
          "headline": "feat: Language detection (langdetect) for ingestion and chat (#21)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-16T09:49:30Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ffe336437d24a5f4dc70d2b3ad774b50a9fd44ce",
          "body": "- Add core/language.py: LanguageDetector class ported from production's\n  multilingual/language_detector.py, single-tenant, Django settings\n  replaced with .env vars. Includes script-based heuristics (CJK/Hangul/\n  Kana), confidence thresholds, and query-specific overrides (ASCII\n  ratio, context sn\n[…]\nery was detected as Italian) — this is an inherent langdetect\nlimitation on short text, not a regression from the port; production's\nown heuristics exist specifically to mitigate (not eliminate) this.",
          "is_bot": false,
          "headline": "feat: add language detection (langdetect) to ingestion and chat (#20)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-16T09:39:54Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "002d91c63ec3f8d2452c6614c4afda82bf22c3c3",
          "body": "…etrieval (#19)\n\n* feat: wire Neo4j knowledge graph into ingestion and retrieval\n\n- Add core/graph.py: entity extraction, document graph upsert, and\n  entity-based document/related-entity lookup (ported from production's\n  retrieval/graph_service.py, single-tenant, Django coupling removed)\n- Wire gr\n[…]\nthe same code path real ingestion uses)\nuntil Neo4j genuinely accepts Bolt connections, before any smoke\ntest runs.\n\n* ci: simplify Neo4j wait check to single-line Python (avoid YAML dedent fragility)",
          "is_bot": false,
          "headline": "feat: Knowledge Graph (Neo4j) — entity extraction and graph-boosted r…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-16T07:44:05Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7c5ace16ca2b1e6bc3880d03adb757952de022b6",
          "body": "docs: fix stale 'not ready for contributions' text in Contributing se…",
          "is_bot": false,
          "headline": "Merge pull request #18 from antonyrag/docs/link-student-projects",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T18:54:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f9f828c43be45e98fb9629a01fc5c4a4d6def491",
          "body": "…ction, link STUDENT_PROJECTS.md",
          "is_bot": false,
          "headline": "docs: fix stale 'not ready for contributions' text in Contributing se…",
          "author_name": "antonyrag",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T18:50:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "68703fc3b676787c829222258ce3f4f3e7b82518",
          "body": "docs: add STUDENT_PROJECTS.md — scoped starter/semester/research-grad…",
          "is_bot": false,
          "headline": "Merge pull request #17 from antonyrag/docs/student-projects",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T18:47:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "77c490636adb6e50f662331eecd45fb42869d0d3",
          "body": "…e project ideas for students, professors, and contributors",
          "is_bot": false,
          "headline": "docs: add STUDENT_PROJECTS.md — scoped starter/semester/research-grad…",
          "author_name": "antonyrag",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T18:45:15Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "90d1a31a6b4ee16a090300530059adae409abef6",
          "body": "docs: add one-command installer to Quickstart, alongside the existing…",
          "is_bot": false,
          "headline": "Merge pull request #16 from antonyrag/docs/add-install-script-to-readme",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T05:33:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "04995b47357d21adc60736da3ba5a4b5b4e695a2",
          "body": "… manual clone path",
          "is_bot": false,
          "headline": "docs: add one-command installer to Quickstart, alongside the existing…",
          "author_name": "antonyrag",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T05:31:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8247ebe5001aee14f9e391b99fe069e0e1a8a4ae",
          "body": "feat: add install.sh — OpenClaw-style one-command installer, checks D…",
          "is_bot": false,
          "headline": "Merge pull request #15 from antonyrag/feat/install-script",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T05:24:40Z",
          "body_truncated": false,
          "is_coding_agent": false
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            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 37,
            "inputs": {
              "merged_prs": 48,
              "open_issues": 11,
              "closed_issues": 0,
              "issue_closed_ratio": 0,
              "closed_unmerged_prs": 2
            },
            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "0% of issues closed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 0
                    }
                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "48/50 decided PRs merged",
                "points": 36.7,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 48,
                      "decided": 50
                    }
                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "critical",
            "name": "Ownership & stewardship",
            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "verified_domain"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 16,
            "inputs": {
              "followers": 0,
              "owner_type": "User",
              "is_verified": null,
              "owner_login": "antonyrag",
              "public_repos": 1,
              "account_age_days": 139
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "personal (user) account",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": "not applicable to user accounts",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_applicable_to_user_accounts",
                    "params": {}
                  }
                ],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "0 followers of antonyrag",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 0,
                      "login": "antonyrag"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "1 public repos, account ~0 yr old",
                "points": 3,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 1
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 0
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "ragleap-rag"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 0
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 0 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 0
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "22 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 22
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 71,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "moderate",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 68,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
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              "has_precommit_config": false
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "1 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 1
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                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "good",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 75,
            "inputs": {
              "topics": [
                "ai-agents",
                "business-automation",
                "database-integration",
                "document-qa",
                "document-qa-agent",
                "executive-assistant",
                "executive-assistant-agent",
                "intelligent-automation",
                "intelligent-automation-platform",
                "llm",
                "multi-tenant",
                "multi-tenant-saas",
                "open-core",
                "saas",
                "self-hosted",
                "voice-ai",
                "workflow-automation",
                "rag-ai-chatbot"
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              "has_wiki": true,
              "homepage": "https://ragleap.com",
              "has_readme": true,
              "has_docs_dir": false,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://ragleap.com",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "18 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 18
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 27,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 27,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 2.7
            },
            "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": "branch protection is not maximal on development and all release branches",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
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                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "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 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "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": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
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                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "project was created within the last 90 days. Please review its contents carefully",
                "points": 0,
                "status": "missed",
                "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 not detected",
                "points": 0,
                "status": "missed",
                "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": "56 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 39,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 1,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
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                ],
                "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": "85 of 85 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 85,
                      "sampled": 85
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 32,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 85",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 85
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "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": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 30306,
              "source_files_sampled": 70,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/70 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 70,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "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",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "deps.dev does not index pypi:ragleap-rag@0.6.0; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T19:04:40.132295Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/antonyrag/ragleap-core.svg",
  "full_name": "antonyrag/ragleap-core",
  "license_state": "standard",
  "license_spdx": "MIT"
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.