Skill audit report

meta-eval Audit report.

Use when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.

REVIEWED · REVIEWNeeds reviewGenerated Nov 8, 2026Heuristic metadata audit
79
Audit
80
Trust
70
Quality
86
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

80
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

76

809 GitHub stars

Stars/forks activity

INFO

71

809 stars, 65 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

3mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add agentscope-ai/OpenJudge --skill meta-eval

Install command safety

INFO

68

dynamic command execution, standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/00-meta-eval

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 4 Needs review

Install path

92

PASS

npx skills add agentscope-ai/OpenJudge --skill meta-eval

Repository

88

PASS

https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/00-meta-eval

License

86

PASS

Apache-2.0

Maintenance

76

CHECK

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

68

CHECK

dynamic command execution, standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

71

CHECK

809 stars, 65 forks; issue activity unavailable in current metadata

Adoption

88

PASS

809 GitHub stars

Warnings

  • Quality score needs review

Method

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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