Informe de auditoría del skill
hypothesis-gen Informe de auditoría.
Use when the user wants to generate and literature-vet a pool of novel, testable research hypotheses for a question or domain. A multi-agent loop: a Generator proposes candidate hypotheses, a LiteratureScout grounds each in real retrieved literature (already known? closest prior work? what gap does it fill?), and a Judge scores them against a fixed rubric and keeps the strong, non-duplicate ones; rounds repeat — mutating toward the open gaps — until fresh rounds stop adding keepers. Not for sharpening or decomposing a research question (no grounding/scoring there), and not for grading an existing written proposal against the literature.
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Info62
163 estrellas de GitHub
Actividad de stars/forks
Advertencia57
163 estrellas y 19 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Info76
4 meses desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Info64
credential or environment access, network or browser surface
Disponibilidad de instalación
Aprobado92
npx skills add gaasher/Agent-Loop-Skills --skill hypothesis-gen
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido34
secrets or environment access, filesystem or document access
Evidencia del repositorio
Aprobado86
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/hypothesis-gen
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add gaasher/Agent-Loop-Skills --skill hypothesis-gen
Repositorio
88
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/hypothesis-gen
Licencia
86
MIT
Mantenimiento
76
4 meses desde el último push
Revisión por IA
55
The skill depends on a sibling 'literature-search' skill; if missing, it degrades to web search, but the setup instructions could be clearer about installation steps.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
64
credential or environment access, network or browser surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
34
secrets or environment access, filesystem or document access
Actividad de stars/forks
57
163 estrellas y 19 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
163 estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill depends on a sibling 'literature-search' skill; if missing, it degrades to web search, but the setup instructions could be clearer about installation steps.
- The SKILL.md is long and detailed; some users might find the setup process complex, but it is well-structured.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, filesystem or document access
Método
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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