Skill-Audit-Bericht
eval-design Audit-Bericht.
Use when the user needs to design evaluation datasets, create test cases, stratify samples, generate adversarial examples, extract eval dimensions from traces/specs, or build a labeled evaluation set. Also use when the user mentions test data design, eval coverage, difficulty stratification, synthetic data generation for eval, or "how to create good evaluation data." Outputs datasets in OpenJudge-compatible format.
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
Info76
816 GitHub-Stars
Star-/Fork-Aktivität
Info71
816 Stars und 65 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden88
2 Monate seit dem letzten Push
Lizenzklarheit
Bestanden86
Apache-2.0
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Info72
Befehlsausführungsfläche
Installationsverfügbarkeit
Bestanden92
npx skills add agentscope-ai/OpenJudge --skill eval-design
Sicherheit des Installationsbefehls
Info68
dynamic command execution, standard package or runtime install path
Berechtigungsumfang
Info62
shell or command execution, filesystem or document access
Repository-Nachweis
Bestanden86
https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/01-eval-design
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add agentscope-ai/OpenJudge --skill eval-design
Repository
88
https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/01-eval-design
Lizenz
86
Apache-2.0
Wartung
88
2 Monate seit dem letzten Push
KI-Prüfung
55
Minor inconsistency: SKILL.md states a 60/30/10 difficulty split, but the bundled coverage_check.py uses EXPECTED_STRATA = {'easy': 0.55, 'boundary': 0.30, 'adversarial': 0.10}. This could confuse users relying on the documented split.
README/SKILL.md-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
72
Befehlsausführungsfläche
Sicherheit des Installationsbefehls
68
dynamic command execution, standard package or runtime install path
Berechtigungsumfang
62
shell or command execution, filesystem or document access
Star-/Fork-Aktivität
71
816 Stars und 65 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
88
816 GitHub-Stars
Warnungen
- Minor inconsistency: SKILL.md states a 60/30/10 difficulty split, but the bundled coverage_check.py uses EXPECTED_STRATA = {'easy': 0.55, 'boundary': 0.30, 'adversarial': 0.10}. This could confuse users relying on the documented split.
- Quality score needs review
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.
Nahe Optionen vergleichen
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