MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents.
guimatheus92/mcp-video-analyzer має індекс здоров’я 64 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (79/100), найнижчий — Security (44/100). Останнє оновлення було 6 днів тому. Більшість нещодавньої роботи виконує один учасник.
64
загалом / 100
Помірний
Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
64
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
Профіль оцінок
Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.
Прямі залежності без відомих сповіщень — уражено 1: sharp 0.34.5 (high 7.3)
13.2/25
Непрямі залежності без відомих сповіщень — уражено 1: @hono/node-server 1.19.15 (moderate 5.9)
40/40
Немає задавнених сповіщень — жодне сповіщення не є публічним довше за 90 дн.
Використані вхідні дані
source
osv
advisories
2
affected_packages
2
assessed_packages
323
unassessed_packages
0
affected_by_severity
high 1, moderate 1
direct_affected_packages
1
Звірено з runtime-замиканням залежностей npm:mcp-video-analyzer@0.7.1 — тим, що тягне за собою встановлення опублікованого пакета, — 323 пакетів. Досяжність не аналізується.
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.
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
Докладніше
Історія зірок і форків 0 ★ / 8 ⇿
0Зірки
8Форки
8Релізи
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.
Мажорні 0Мінорні 5Патчі 3
OpenSSF Scorecard 3.8 / 10
3.8сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-27 20:31 UTC
Не вдалося зібрати розв'язаний набір залежностей для цього звіту: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Сповіщення про залежності 2
Встановлення npm:mcp-video-analyzer@0.7.1 тягне 323 пакетів, прямих і транзитивних: 2 мають відомі сповіщення, з них 1 — прямі залежності.
Пакет
Версія
Зв'язок
Критичність
Сповіщень
Виправлено в
sharp
0.34.5
пряма
висока
1
0.35.0
@hono/node-server
1.19.15
непряма
помірна
1
2.0.5
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.
Звіт у форматі JSON машиночитний
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"transcript",
"video-analysis",
"instagram",
"tiktok",
"transcription",
"whisper",
"youtube",
"yt-dlp"
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"created_at": "2026-03-09T17:51:43Z",
"owner_type": "User",
"updated_at": "2026-07-25T15:27:41Z",
"description": "MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents.",
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"oid": "13b4dfa25399a0f5435c3396cdd810f5d9364ed6",
"body": "….1) (#27)\n\n* fix: robustness gaps #26 — probe timeout + graceful frame tools (v0.7.1)\n\nTwo independent, pre-existing gaps from issue #26, each proven before and\nafter the change.\n\nFinding #1 — findYtDlp probe timeout (src/utils/ytdlp.ts)\nThe two `execFile('yt-dlp', ['--version'], { timeout: 5000 })\n[…]\nburst Direct=3, analyze_moment transcript+frame).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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"headline": "fix: robustness gaps #26 — probe timeout + graceful frame tools (v0.7…",
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"is_bot": false,
"headline": "fix: Loom frame extraction silently dropped merged-WebM downloads (#2…",
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"is_bot": false,
"headline": "docs: mcpservers.org listing badge",
"author_name": "Guilherme Matheus",
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"committed_at": "2026-07-13T03:18:18Z",
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"oid": "5aa4db14a10a63e3400501426f7639c85eb58737",
"body": "…lls/video\n\nThe four .claude/skills/*-skilld/SKILL.md files were leaking into the Agent\nSkills listing for consumers — and were broken there anyway (their .skilld/\nreference dirs were never tracked). skilld-lock.yaml stays tracked as the\nregeneration source. Removes the ineffective .skillignore (not a skills-CLI\nfeature).\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "chore: untrack skilld dev skills so npx skills add only discovers ski…",
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"body": ".claude/skills/ holds auto-generated skilld dev-dependency docs that were\nleaking into the Agent Skills listing for consumers.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "chore: .skillignore so npx skills add only discovers skills/video",
"author_name": "Guilherme Matheus",
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"oid": "585301ac03dd13e7a04ebc7bfaa9fe1190f0a6d4",
"body": "…g (v0.7.0) (#23)\n\n* feat: /video agent skill + one-shot CLI + Claude Code plugin packaging (v0.7.0)\n\nThree entry points to the same engine (modeled on bradautomates/claude-video):\n\n- CLI: `mcp-video-analyzer analyze <url>` (src/cli.ts) reuses the getAnalysis\n pipeline — single JSON document on std\n[…]\nop-level --help, and the\n copy-before-cleanup invariant on a generated clip.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: /video agent skill + one-shot CLI + Claude Code plugin packagin…",
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"body": "Adds a hand-authored SVG brand icon (assets/icon.svg) in the same\n\"Media Cinematic\" family as social-knowledge-base — a rounded square with\na coral-to-magenta-to-violet gradient and a white play glyph inside a\nfocus frame (video + analysis). The README gains a centered branded\nheader (icon + title +\n[…]\nl collapsible section so the reference no longer dominates the page.\n\nDocs/branding only — assets/ is not part of the npm package (files: dist).\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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"headline": "docs: branded README header + icon, tools in collapse (#21)",
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"body": "…pport (#20)\n\nThe recent feature releases (yt-dlp platform adapter, cookies, Whisper\ndetection) were never reflected in discovery metadata. Adds youtube /\ninstagram / tiktok / yt-dlp / transcription / whisper / subtitles to the\nnpm keywords and switches the quickstart example to a YouTube URL so the\n[…]\nb repo\ndescription and topics were updated in parallel (repo settings).\n\nNo version bump — metadata-only; propagates to npm on the next release.\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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"headline": "chore: refresh npm keywords + README quickstart for multi-platform su…",
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"oid": "175a597e84c1bf661d3b4c346c03df95f28f85e3",
"body": "…arnings (#18) (#19)\n\nIssue #18: an Instagram reel with normal audio produced no transcript.\nTwo root causes, neither surfaced to the user:\n\n1. Login-gated download. Instagram serves reel audio as a separate DASH\n stream and refuses media to logged-out requests (\"empty media\n response\"), so the \n[…]\nscript. README points users who want a full account-archiving\npipeline at social-knowledge-base (built on this server).\n\nBumps version to 0.6.2.\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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"headline": "fix: robust Whisper CLI detection + actionable transcription/cookie w…",
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"body": "…alize) (#17)\n\nNew docker-image job replicates what Glama CI does on each release: build\nthe Dockerfile from a fresh checkout (dist/ is gitignored, the image must\ncompile itself), assert the ffmpeg-static binary landed in the image, and\npipe an MCP initialize request into the container expecting a r\n[…]\negressions before merge instead of via Glama failure\nemails. CLAUDE.md release step now points at the CI job with the manual\nrecipe as fallback.\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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"headline": "ci: validate the Docker image on every PR (build + ffmpeg + MCP initi…",
"author_name": "Guilherme Matheus",
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"committed_at": "2026-07-02T18:07:32Z",
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"body": "Glama builds the Dockerfile from a fresh git checkout on every release,\nand dist/ is gitignored - so `COPY dist/ ./dist/` failed every CI build\nwith `\"/dist\": not found` (reproduced locally via git archive + docker\nbuild) and emailed the maintainer a build failure.\n\nThe image is now multi-stage and \n[…]\ndatory\nclean-clone Docker validation step so this cannot regress silently.\n\nBumps version to 0.6.1 (infra patch; npm package content unchanged).\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix: make the Docker image build from a clean clone (Glama CI) (#16)",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-07-02T18:01:54Z",
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"oid": "b47f6312ba170ad4f54868d36542a586d9f9fa66",
"body": "… budget, cookies & silent-audio gate (#15)\n\n* feat: duration-adaptive frame budget at standard detail\n\nDefault maxFrames now scales with video duration (12 for <=30s up to 60\nfor >10min) instead of a fixed 20. An explicit maxFrames always wins and\nkeys the cache separately; brief/detailed keep thei\n[…]\niew fixes. verify-package\npassed (tarball installs and starts as a consumer).\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "yt-dlp platform adapter (YouTube/Instagram/TikTok +5), adaptive frame…",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-07-02T12:22:24Z",
"body_truncated": true,
"is_coding_agent": true
},
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"oid": "a5f977c675fd5a1bad982d56a94d362bd92ae458",
"body": "Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "chore: add FUNDING.yml (GitHub Sponsors + Buy Me a Coffee)",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-06-27T02:28:18Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "a3d7be1e84edb05a14c8f38f3b78edea446bf85d",
"body": "…h tool (v0.5.0) (#14)\n\n* feat: robust local frames/OCR, transcription footgun fixes, sidecars, batch tool\n\nFrames/OCR (P0):\n- extractKeyFrames(): scene-change detection now falls back to uniform temporal\n sampling when 0 cuts are found, so static talking-head Reels/Stories yield\n frames + OCR ins\n[…]\npty-text guard,\nsidecar dropping vanished frames.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Robust local frames/OCR, transcription footgun fixes, sidecars & batc…",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-06-24T20:33:16Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "a306b3c40fc806e9d7cb88f13c09bdf9ff85f77f",
"body": "Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 0.4.0",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-06-23T13:42:50Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "55c998841ddd27a899a9995734a6897e7ea05ce0",
"body": "…for direct video URLs) (#13)\n\n* feat: add opt-in TwelveLabs Pegasus adapter\n\nAdd a TwelveLabsAdapter that analyzes direct video URLs with TwelveLabs'\nPegasus video-language model, providing a timestamped transcript and an AI\nsummary — capabilities a raw video URL otherwise lacks. Pegasus analyzes t\n[…]\niants, downloadVideo, cache eviction, canHandle).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: add opt-in TwelveLabs Pegasus adapter (transcript + AI summary …",
"author_name": "mohit",
"author_login": "mohit-twelvelabs",
"committed_at": "2026-06-23T13:37:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "d35b0e2f5dceb7a6630d31d6c193278cc7bd2994",
"body": "The whisper CLI fallback never actually worked: it parsed the transcript\nJSON from stdout (whisper writes it to a file), wrote to /tmp (absent on\nWindows), and hardcoded the tiny model. The `python -m whisper` fallback\nwas also dead (openai-whisper has no __main__) and returned the wrong\ncommand nam\n[…]\njs path\n- Extract buildWhisperCliArgs() and parseWhisperJson(); add unit tests\n- Document the transcription env vars in the README\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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{
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"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": "16 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 16
}
}
],
"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": "at_risk",
"name": "Security",
"value": 44,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"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": 38,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 15,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 3,
"scorecard_aggregate": 3.8
},
"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": "13 out of 14 merged PRs checked by a CI test -- score normalized to 9",
"points": 2.2,
"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 2/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"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",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "20 commit(s) and 3 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 3",
"points": 1.5,
"status": "partial",
"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": "104 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "moderate",
"name": "Dependency advisories",
"note": "Matched the npm:mcp-video-analyzer@0.7.1 runtime dependency closure — what installing the published package pulls in — 323 packages. Reachability is not analyzed.",
"notes": [
{
"code": "advisories_scope_published",
"params": {
"package": "npm:mcp-video-analyzer@0.7.1",
"assessed": 323
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 68,
"inputs": {
"source": "osv",
"advisories": 2,
"affected_packages": 2,
"assessed_packages": 323,
"unassessed_packages": 0,
"affected_by_severity": "high 1, moderate 1",
"direct_affected_packages": 1
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "1 affected: sharp 0.34.5 (high 7.3)",
"points": 14.6,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 1,
"packages": "sharp 0.34.5 (high 7.3)"
}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "1 affected: @hono/node-server 1.19.15 (moderate 5.9)",
"points": 13.2,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 1,
"packages": "@hono/node-server 1.19.15 (moderate 5.9)"
}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory has been public longer than 90 days",
"points": 40,
"status": "met",
"details": [
{
"code": "advisories_none_stale",
"params": {
"days": 90
}
}
],
"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": 323,
"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": 76,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 84,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.725,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 17613
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
}
}
],
"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": "29 of 40 human commits state their intent (structured subject or explanatory body)",
"points": 38.7,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 29,
"sampled": 40
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 67,
"inputs": {
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"has_tests": true,
"lockfiles": [
"package-lock.json"
],
"has_dockerfile": true,
"typed_language": true,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"tsconfig.json"
],
"agent_commit_share": 0.95,
"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": "eslint.config.js",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "eslint.config.js"
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}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "tsconfig.json",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "tsconfig.json"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "38 of the last 40 commits agent-authored or agent-credited",
"points": 10,
"status": "met",
"details": [
{
"code": "agent_authored_commits",
"params": {
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"sampled": 40
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],
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},
{
"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 3",
"points": 3,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "excellent",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"largest_source_bytes": 24713,
"source_files_sampled": 108,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "TypeScript (statically typed)",
"points": 45,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
"language": "TypeScript"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/108 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 108,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "moderate",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 60,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": true,
"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": 20,
"status": "met",
"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"
],
"report_type": "repository",
"generated_at": "2026-07-27T20:31:31.192488Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/guimatheus92/mcp-video-analyzer.svg",
"full_name": "guimatheus92/mcp-video-analyzer",
"license_state": "standard",
"license_spdx": "MIT"
}
Пов’язані записи
Перевірені репозиторії, що мають спільні каталожні теги або екосистеми з guimatheus92/mcp-video-analyzer. Читати поруч →
Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.
Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.27.0 — повна методологія · вікі метрик.
