Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-27 22:18 UTC

CognitiveThoughtEngine / constitutional-agent-governance

The WHY layer for AI agents: six constitutional gates + 12 hard constraints, plus cross-session risk composition — catches agents that pass every individual gate but accumulate risk across a sequence (stateless engines can't). pip install constitutional-agent

PythonMIT★ 0 estrellas⑂ 0 forksdesde abr 2026Ver en GitHub ↗

#agent-governance #ai-governance #autonomous-agents #constitutional-ai #llm-agents #python #agentic-ai #ai-safety #eu-ai-act #risk-management

CognitiveThoughtEngine/constitutional-agent-governance tiene un índice de salud de 61 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (81/100) y la más baja, Community & Adoption (35/100). Se actualizó por última vez hace 8 días. Una sola persona concentra la mayor parte del trabajo reciente.

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.

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.

Titularidad

CognitiveThoughtEngineOrganización

1 seguidor6 repositorios públicosdesde abr 2026

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

Registro	Paquete	Versión	Descargas / mes	Versiones	Última publicación	Etiquetas
PyPI	constitutional-agent	0.7.0	331	12	hace 8 días	ai agents governance constitutional llm autonomy

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

72Bueno · 22% del índice global

Actividad de desarrollo

60Moderado

Cómo se puntúa

28.8/36	Recencia de push — último push hace 8 días
4.8/36	Cadencia de commits — 7/52 semanas con commits
16.2/18	Volumen de commits — 62 commits en el último año
10/10	OpenSSF Scorecard: Maintained — 16 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10

Datos de entrada utilizados

commits_last_year	62
human_commit_share	1
days_since_last_push	8
active_weeks_last_year	7

Disciplina de publicación

90Excelente

Cómo se puntúa

27/27	Publica versiones — 12 versiones publicadas
36/36	Recencia de las versiones — última versión hace 8 días
27/27	Cadencia de publicación — una versión cada ~11,2 días
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Datos de entrada utilizados

releases_count	12
latest_release_tag	v0.7.0
releases_from_tags	no
days_since_latest_release	8
mean_days_between_releases	11,2

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

35En riesgo · 18% del índice global

Popularidad y adopción

1Crítico

Cómo se puntúa

0/60	Estrellas — 0 estrellas
0/25	Forks — 0 forks
0/15	Observadores — 0 observadores

Datos de entrada utilizados

forks	0
stars	0
watchers	0
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Salud de la comunidad

70Bueno

Cómo se puntúa

22.5/22.5	README
22.5/22.5	Licencia — licencia reconocida (MIT)
18/18	Guía CONTRIBUTING
0/13.5	Código de conducta
0/7.2	Plantilla de issues
0/6.3	Plantilla de PR

Datos de entrada utilizados

has_readme	sí
has_license	sí
has_contributing	sí
has_issue_template	no
has_code_of_conduct	no
has_pull_request_template	no

Adopción en el ecosistema (descargas)

42En riesgo

Cómo se puntúa

33.6/80	Descargas mensuales — 331 descargas/mes en pypi
0/20	Dependientes en el registro — no lo informa este ecosistema

Datos de entrada utilizados

packages	constitutional-agent
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	331

Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

54Moderado · 24% del índice global

Resiliencia de mantenedores (factor bus)

10Crítico

Cómo se puntúa

9/54	Factor bus — la mitad de los commits recae en 1 contribuyente(s)
0/22.5	Distribución de commits — el principal contribuyente firma el 100% de los commits
1.4/13.5	Amplitud de contribuyentes — 1 contribuyentes
0/10	OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0

Datos de entrada utilizados

bus_factor	1
contributors_sampled	1
top_contributor_share	1

Capacidad de respuesta a issues y PR

85Excelente

Cómo se puntúa

46.8/46.8	Resolución de issues — 100% de issues cerradas
38.2/38.3	Aceptación de PR — 7/7 PR decididos fusionados
0/15	OpenSSF Scorecard: Code-Review — Found 0/21 approved changesets -- score normalized to 0

Datos de entrada utilizados

merged_prs	7
open_issues	0
closed_issues	1
issue_closed_ratio	1
closed_unmerged_prs	0

Propiedad y custodia

39En riesgo

Cómo se puntúa

30/30	Respaldo de la propiedad — propiedad de una organización
0/20	Dominio verificado
2.2/25	Alcance del propietario — 1 seguidores de CognitiveThoughtEngine
6.8/25	Trayectoria — 6 repos públicos, cuenta de ~0 años

Datos de entrada utilizados

followers	1
owner_type	Organization
is_verified	—
owner_login	CognitiveThoughtEngine
public_repos	6
account_age_days	110

Mantenimiento de paquetes

100Excelente

Cómo se puntúa

25/25	Publicado y resoluble — 1 paquete(s) en pypi
35/35	Recencia de publicación — última publicación hace 8 días
20/20	Historial de versiones — 12 versiones en el registro
20/20	No obsoleto — activo, ni obsoleto ni retirado

Datos de entrada utilizados

packages	constitutional-agent
ecosystems	pypi
any_deprecated	no
min_days_since_publish	8

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

81Bueno · 20% del índice global

Prácticas de ingeniería

68Moderado

Cómo se puntúa

24/24	Flujos de trabajo de CI — 3 flujo(s) de trabajo
24/24	Pruebas presentes
0/16	Configuración de linter
0/9.6	Hooks de pre-commit
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10

Datos de entrada utilizados

has_ci	sí
has_tests	sí
has_editorconfig	no
has_linter_config	no
has_precommit_config	no

Documentación

100Excelente

Cómo se puntúa

30/30	README
25/25	Directorio de documentación
15/15	Sitio de documentación / página del proyecto — https://pypi.org/project/constitutional-agent/
10/10	Descripción del repositorio
10/10	Topics — 10 topics
10/10	Wiki

Datos de entrada utilizados

topics	agent-governance, ai-governance, autonomous-agents, constitutional-ai, llm-agents, python, agentic-ai, ai-safety, eu-ai-act, risk-management
has_wiki	sí
homepage	https://pypi.org/project/constitutional-agent/
has_readme	sí
has_docs_dir	sí
has_description	sí

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

58Moderado · 16% del índice global

Postura de seguridad

47En riesgo

Cómo se puntúa

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5	CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 0/21 approved changesets -- score normalized to 0
0/2.5	Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	Licencia — license file detected
7.5/7.5	Maintained — 16 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
2/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Datos de entrada utilizados

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	4,7

Avisos de dependencias

100Excelente

Cómo se puntúa

35/35	Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25	Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40	Sin avisos pendientes — ningún aviso tiene fecha de publicación

Datos de entrada utilizados

source	osv
advisories	0
affected_packages	0
assessed_packages	1
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:constitutional-agent@0.7.0 —lo que arrastra la instalación del paquete publicado—: 1 paquetes. No se analiza la alcanzabilidad.

Preparación para IA

¿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.

40En riesgo · 0% del índice global

Contexto y guía para agentes

40En riesgo

Cómo se puntúa

0/45	Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15	Documentación legible por máquinas (llms.txt)
40/40	Historial de commits legible — 58 de 62 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)

Datos de entrada utilizados

has_llms_txt	no
legible_history_share	0,935
agent_instruction_files	—
agent_instruction_max_bytes	—

Bucle de verificación (compilación / pruebas / verificación de tipos)

36En riesgo

Cómo se puntúa

0/18	Arranque con un solo comando
22/22	Pruebas automatizadas
0/11	Configuración de lint / formato
0/11	Verificación estática de tipos
0/10	Entorno reproducible
10/10	Práctica demostrada con agentes — 27 de los últimos 62 commits con autoría o crédito de agente
0/8	Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
4/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4

Datos de entrada utilizados

has_nix	no
has_tests	sí
lockfiles	—
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	no
typecheck_configs	—
agent_commit_share	0,435
toolchain_manifests	—
dependency_bot_commit_share	0

Legibilidad del código para modelos

52Moderado

Cómo se puntúa

0/45	Código verificable por tipos — Python sin configuración de verificación de tipos
52.4/55	Tamaños de archivo manejables — 1/21 archivos fuente de más de 60 KB

Datos de entrada utilizados

primary_language	Python
largest_source_bytes	63.584
source_files_sampled	21
oversized_source_files	1

Interfaces legibles por máquina

40En riesgo

Cómo se puntúa

0/40	Esquema de API (OpenAPI/GraphQL/proto)
0/20	Servidor MCP
40/40	Ejemplos ejecutables — examples

Datos de entrada utilizados

example_dirs	examples
has_mcp_signal	no
api_schema_files	—

Datos clave

0estrellas de GitHub

1contribuidores

62commits en los últimos 12 meses

8días desde el último push

12versiones publicadas

1factor bus

0issues abiertas

PyPIecosistemas de paquetes

Advertencias de recopilación de datos

GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Más detalle

OpenSSF Scorecard 4.7 / 10

4.7agregado

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 22:18 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
10	CI-Tests	6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 0/21 approved changesets -- score normalized to 0
0	Contributors	project has 0 contributing companies or organizations -- score normalized to 0
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	16 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
4	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 4
0	SAST	SAST tool is not run on all commits -- score normalized to 0
10	Security-Policy	security policy file detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
10	Vulnerabilities	0 existing vulnerabilities detected

Dependencias directas 1

Registro	Paquete	Restricción de versión	Manifiesto
PyPI	pyyaml	`>=6.0,<7`	pyproject.toml

Todas las dependencias no recopilado

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 0

Instalar pypi:constitutional-agent@0.7.0 arrastra 1 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

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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          "tag": "v0.6.0",
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          "tag": "v0.3.2",
          "kind": "patch",
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          "tag": "v0.3.1",
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          "body": "…curacy\n\n- _reconstruct_version() now requires a POSITIVE, NON-BOOLEAN integer for a RATIFIED\n  record's constitution_version (int() coercion removed). Rejects True/float/None/str and\n  <=0 — any of which could reissue an existing version. Parameterized test over\n  [True, 1.5, 0, -1, None, 'not-an-i\n[…]\nd before persistence'\n  (key-name detection, not a guarantee about secrets under generic keys).\n\nLocal: 253 tests pass, ruff clean, mypy clean.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "PR #26 re-review round 2: stricter version validation + doc/metric ac…",
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          "body": "…reconstruction\n\nTwo integrity corrections from the re-review at 5f5bd9dd:\n\n1. Rejection persistence is now atomic. The rejection path set status=REJECTED before\n   _finalize_amendment() wrote the durable record; a store-write failure left the proposal\n   terminal in memory with no decision record. \n[…]\nitignore\nalready excludes *.egg-info/, dist/, build/, sdist/ — nothing to remove.\n\nLocal: 247 tests pass (244 + 3 new), ruff clean, mypy clean.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "PR #26 re-review: atomic rejection persistence + fail-closed version …",
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          "body": "Secret-scrub of stored amendment changes (redact_secrets), atomic ledger\n(rollback on apply/store-write failure), monotonic version restore across\nrestart, terminal REJECTED status (no replay), registry id validation\n(empty/whitespace + canonical collision), callback-timeout wording +\nbounded_verifi\n[…]\name (crosswalk_fields_present_and_reviewed) + Article27Applicability,\nand reference-defaults wording. +21 regression tests (244 total passing).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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          "is_bot": false,
          "headline": "feat: enforce amendment authority + separation of duties; FRIA-suppor…",
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          "body": "The six gates are memoryless — every vendor-neutral engine shipped in H1 2026\n(MS ACS, Galileo, Runlayer, NVIDIA OpenShell) is stateless the same way, and\nshares the blind spot: an agent can pass every individual gate yet be dangerous\nover a sequence.\n\nAdds the stateful layer:\n- composition module: \n[…]\nith it as the differentiator; ROADMAP v0.6.0; CHANGELOG.\n\n24 new tests (174 total), mypy strict + ruff clean. Backward compatible.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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          "headline": "fix: update all counts and versions, add FRIA to changelog, bump to v…",
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          "body": "__main__.py is a CLI entry point with 0% coverage, dropping the total\nbelow the 95% fail-under gate. Exclude it via [tool.coverage.run] omit.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
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          "headline": "fix: exclude CLI entry point from coverage threshold",
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          "is_bot": false,
          "headline": "feat: add CLI demo via python -m constitutional_agent",
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          "body": "- Add HRAO-E production stats (98 days, 52 agents) right after tagline\n- Add PyPI version mismatch note (badge says 0.4.0, published is 0.3.2)\n- Move working Quick Start above \"Who This Is For\" with gate-grouped comments\n- Snippet evaluates to RUN, not FREEZE\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
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          "body": "Replace 'missing from every open-source governance toolkit until now'\nwith 'complements identity and policy tools — does not replace them.'\nAligns with enterprise credibility guidance.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
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          "headline": "README: soften vendor framing to 'complements' (reviewer feedback)",
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          "body": "Three ~40-50 line working examples showing how to wrap constitutional\nevaluation around node execution (LangGraph), agent step hooks (CrewAI),\nand on_tool_call lifecycle hooks (OpenAI Agents SDK). Each doc includes\ngate relevance table and links to FRIA/SECURITY docs.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
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          "headline": "docs: add LangGraph/CrewAI/OpenAI Agents SDK integration quickstarts",
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          "is_bot": false,
          "headline": "chore: promote v0.4.0b3 to v0.4.0 stable",
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          "headline": "docs: README + ROADMAP — v0.4.0b3, beta install, FRIA section, pre-re…",
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          "body": "- Remove duplicate Constitution.fria_evidence() that shadowed PR #13 merge\n- Keep PR's fria.py module (FRIAEvidence, generate_fria_evidence, fria_summary, fria_narrative)\n- Rewrite TestFriaEvidence in test_constitution.py to match fria.py API\n- Auto-fix two ruff F401 (unused Optional in fria.py, unused FRIAEvidence in test_fria.py)\n- 160 tests passing, ruff clean, mypy strict",
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          "headline": "fix: remove unused Constitution import in TestFriaEvidence (ruff F401)",
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          "body": "FRIA (Fundamental Rights Impact Assessment) evidence generation from\nexisting governance gate and hard constraint evaluations:\n\n- src/constitutional_agent/fria.py: 6-category FRIA mapping\n  (safety, non-discrimination, privacy, human oversight,\n  transparency, accountability)\n- Constitution.fria_evi\n[…]\n,\nAutonomyGate → human oversight, GovernanceGate → transparency/accountability.\n\nCo-authored-by: Michael Saleme <mikes@example.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Add FRIA gate output for EU AI Act Article 27 (#12) (#13)",
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          "headline": "chore: bump version to 0.4.0b2 (includes fria_evidence, issue #12)",
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          "oid": "913fb0a4a37c3b414a447428363f3cd1b533e9db",
          "body": "Maps six constitutional gate results to the six FRIA categories required\nby EU AI Act Article 27 for high-risk AI systems:\n\n  Safety & robustness      → RiskGate + HC-1/7 violation status\n  Non-discrimination       → EpistemicGate\n  Human oversight          → AutonomyGate + HC-12 violation status\n  \n[…]\nEvidence cover no-result, all-covered,\nHOLD→PARTIAL, FAIL→GAP, HC evidence lines, gate_source presence, and\nISO-8601 timestamp format.\n\n152 tests passing, 97% coverage (--cov-fail-under=95 satisfied).",
          "is_bot": false,
          "headline": "feat: fria_evidence() — EU AI Act Article 27 FRIA output (issue #12)",
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                "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 0/21 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",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "16 commit(s) and 0 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 detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 4",
                "points": 2,
                "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 detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:constitutional-agent@0.7.0 runtime dependency closure — what installing the published package pulls in — 1 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:constitutional-agent@0.7.0",
                  "assessed": 1
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 1,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 1,
              "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
              }
            ]
          }
        ],
        "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": 40,
        "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": 0.935,
              "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": {}
                  }
                ],
                "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": "58 of 62 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 58,
                      "sampled": 62
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 36,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0.435,
              "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": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "27 of the last 62 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 27,
                      "sampled": 62
                    }
                  }
                ],
                "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 4",
                "points": 4,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 52,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 63584,
              "source_files_sampled": 21,
              "oversized_source_files": 1
            },
            "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": "1/21 source files over 60KB",
                "points": 52.4,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 21,
                      "oversized": 1
                    }
                  }
                ],
                "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": [
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T22:18:33.038791Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/CognitiveThoughtEngine/constitutional-agent-governance.svg",
  "full_name": "CognitiveThoughtEngine/constitutional-agent-governance",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.

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