Rapport d’audit du skill
env-and-assets-bootstrap Rapport d’audit.
Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Info62
484 stars GitHub
Activité stars/forks
Avertissement57
484 stars et 16 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement54
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add lllllllama/RigorPilot-Skills --skill env-and-assets-bootstrap
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué36
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/env-and-assets-bootstrap
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add lllllllama/RigorPilot-Skills --skill env-and-assets-bootstrap
Dépôt
88
https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/env-and-assets-bootstrap
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
The skill references an external shared operating principles file (`../ai-research-reproduction/references/agent-operating-principles.md`) that is not included in the skill directory; this could break if the parent repository structure changes.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
36
secrets or environment access, shell or command execution
Activité stars/forks
57
484 stars et 16 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
484 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill references an external shared operating principles file (`../ai-research-reproduction/references/agent-operating-principles.md`) that is not included in the skill directory; this could break if the parent repository structure changes.
- The `bootstrap_env.py` script imports from `plan_setup` without ensuring that module is available in the same directory; this is fine within the skill but could be fragile if the skill is copied standalone.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 484 stars, 16 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Méthode
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.