Skill-Audit-Bericht
red-team Audit-Bericht.
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.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub-Akzeptanz
Info62
163 GitHub-Stars
Star-/Fork-Aktivität
Warnung57
163 Stars und 19 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Info76
3 Monate seit dem letzten Push
Lizenzklarheit
Bestanden86
MIT
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Info64
credential or environment access, network or browser surface
Installationsverfügbarkeit
Bestanden92
npx skills add gaasher/Agent-Loop-Skills --skill red-team
Sicherheit des Installationsbefehls
Bestanden92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
Warnung60
secrets or environment access, network or browser access
Repository-Nachweis
Bestanden86
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/red-team
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add gaasher/Agent-Loop-Skills --skill red-team
Repository
88
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/red-team
Lizenz
86
MIT
Wartung
76
3 Monate seit dem letzten Push
KI-Prüfung
55
The SKILL.md excerpt is truncated at the 'Labeling classes' section, but the repository likely contains the full content; no critical issues found.
README/SKILL.md-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
64
credential or environment access, network or browser surface
Sicherheit des Installationsbefehls
92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
60
secrets or environment access, network or browser access
Star-/Fork-Aktivität
57
163 Stars und 19 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
68
163 GitHub-Stars
Warnungen
- 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
Methode
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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