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.
TypeScriptMIT★ 28 estrellas⑂ 8 forksdesde mar 2026Ver en GitHub ↗
guimatheus92/mcp-video-analyzer tiene un índice de salud de 64 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (79/100) y la más baja, Security (44/100). Se actualizó por última vez hace 6 días. Una sola persona concentra la mayor parte del trabajo reciente.
64
global / 100
Moderado
Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
64
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
31 seguidores46 repositorios públicosdesde mar 2015@microsoft
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Sin avisos pendientes — ningún aviso lleva público más de 90 días
Datos de entrada utilizados
source
osv
advisories
2
affected_packages
2
assessed_packages
323
unassessed_packages
0
affected_by_severity
high 1, moderate 1
direct_affected_packages
1
Se cotejó el cierre de dependencias en tiempo de ejecución de npm:mcp-video-analyzer@0.7.1 —lo que arrastra la instalación del paquete publicado—: 323 paquetes. No se analiza la alcanzabilidad.
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
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
Más detalle
Historial de estrellas y forks 0 ★ / 8 ⇿
0Estrellas
8Forks
8Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 0Menor 5Parche 3
OpenSSF Scorecard 3.8 / 10
3.8agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-27 20:31 UTC
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Avisos de dependencias 2
Instalar npm:mcp-video-analyzer@0.7.1 arrastra 323 paquetes, directos y transitivos: 2 tienen avisos conocidos, de los cuales 1 son dependencias directas.
Paquete
Versión
Relación
Gravedad
Avisos
Corregido en
sharp
0.34.5
directa
alta
1
0.35.0
@hono/node-server
1.19.15
indirecta
moderada
1
2.0.5
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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"headline": "docs: mcpservers.org listing badge",
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"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>",
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"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>",
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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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"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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"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…",
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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>",
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"headline": "fix: make the Docker image build from a clean clone (Glama CI) (#16)",
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"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>",
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"headline": "yt-dlp platform adapter (YouTube/Instagram/TikTok +5), adaptive frame…",
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"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,
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"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,
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{
"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,
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},
{
"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>",
"is_bot": false,
"headline": "Fix and configure Whisper CLI transcription for non-English audio",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-06-23T01:08:02Z",
"body_truncated": true,
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{
"oid": "6c46c81a870a9c22059f42040789c44d21c1b8d9",
"body": "Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "chore: gitignore .npmrc and *.tgz to avoid committing tokens/artifacts",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-06-22T16:01:52Z",
"body_truncated": false,
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},
{
"oid": "868f19dba78d7a17d55798ad511f7916158a4ded",
"body": "Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 0.3.0",
"author_name": "Guilherme Matheus",
"author_login": "guimatheus92",
"committed_at": "2026-06-22T13:55:03Z",
"body_truncated": false,
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{
"oid": "7f482cf441820fd6024f00e54f545c1244f99e02",
"body": "* Add local video file support via LocalFileAdapter\n\nTools now accept absolute paths and file:// URIs alongside Loom and direct\nvideo URLs. Local files skip the download step (LocalFileAdapter.downloadVideo\nreturns the source path as-is) and run through the existing ffmpeg pipeline.\nThe puppeteer br\n[…]\nlaude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\nCo-authored-by: Guilherme Matheus <guilherme_matheus12@hotmail.com>",
"is_bot": false,
"headline": "Add local video file support (#12)",
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"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": {
"has_nix": false,
"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"
}
}
],
"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": {
"count": 38,
"sampled": 40
}
}
],
"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 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": {
"primary_language": "TypeScript",
"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"
}
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Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.
