Rapport d’audit du skill
red-team Rapport d’audit.
Use when the user wants to adversarially stress-test a guardrail, classifier, prompt, or API they own or are authorized to test, to surface the distinct ways it fails. Generates adversarial inputs, runs them through the target and a ground-truth oracle, logs every target-vs-oracle disagreement as a failure de-duplicated by technique class, and loops until rounds stop surfacing new classes. Produces a catalogue of distinct, reproducible failures — the attacker half of a find→fix setup. Not for patching the target, and not for attacking systems the user does not own or have permission to test.
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
163 stars GitHub
Activité stars/forks
Avertissement57
163 stars et 19 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Info76
4 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
Info64
credential or environment access, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add gaasher/Agent-Loop-Skills --skill red-team
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement60
secrets or environment access, network or browser access
Preuve du dépôt
Validé86
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/red-team
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 gaasher/Agent-Loop-Skills --skill red-team
Dépôt
88
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/red-team
Licence
86
MIT
Maintenance
76
4 mois depuis le dernier push
Revue IA
55
The SKILL.md excerpt is truncated at the 'Labeling classes' section, but the repository likely contains the full content; no critical issues found.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
64
credential or environment access, network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
60
secrets or environment access, network or browser access
Activité stars/forks
57
163 stars et 19 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
163 stars GitHub
Avertissements
- Permission surface may require sandboxing
- The SKILL.md excerpt is truncated at the 'Labeling classes' section, but the repository likely contains the full content; no critical issues found.
- The harness.py code is also truncated in the excerpt, but the visible portion uses safe subprocess handling with shlex.split and a timeout.
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, network or browser access
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.
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