Skill audit report

evo-citation-scorer Audit report.

Compares parsed BibTeX citation metadata against API results using fuzzy string matching and multi-factor scoring to classify citations as real or fake, then outputs the final JSON report.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 16, 2026Heuristic metadata audit
72
Audit
64
Trust
63
Quality
76
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

64
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

88 GitHub stars

Stars/forks activity

WARN

43

88 stars, 4 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo 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

INFO

64

credential or environment access, network or browser surface

Install availability

PASS

92

npx skills add OpenLAIR/OpenSkill --skill evo-citation-scorer

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

60

secrets or environment access, network or browser access

Repository evidence

PASS

86

https://github.com/OpenLAIR/OpenSkill/tree/main/tasks-evolved/citation-check/environment/skills/evo-citation-scorer

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 14 Needs review

Install path

92

PASS

npx skills add OpenLAIR/OpenSkill --skill evo-citation-scorer

Repository

88

PASS

https://github.com/OpenLAIR/OpenSkill/tree/main/tasks-evolved/citation-check/environment/skills/evo-citation-scorer

License

86

PASS

Apache-2.0

Maintenance

88

PASS

1mo since push

AI review

55

CHECK

SKILL.md classification logic is incomplete and inconsistent with the actual code: it omits the near-exact title match (>=95) and high-title-match-with-author-overlap (>=85) rules.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

64

CHECK

credential or environment access, network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

60

CHECK

secrets or environment access, network or browser access

Stars/forks activity

43

FIX

88 stars, 4 forks; issue activity unavailable in current metadata

Adoption

68

INFO

88 GitHub stars

Warnings

  • Permission surface may require sandboxing
  • SKILL.md classification logic is incomplete and inconsistent with the actual code: it omits the near-exact title match (>=95) and high-title-match-with-author-overlap (>=85) rules.
  • SKILL.md only mentions CrossRef search, but the code also handles semantic_scholar_results and dblp_results, and the documented workflow does not explain how these API results are obtained.
  • No setup or dependency information is provided; the code relies on external API integration that is not included in the skill.
  • Input and output schemas are not fully documented, making it unclear what exact structure verification_result must have.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, network or browser access
  • GitHub adoption: 88 GitHub stars
  • Stars/forks activity: 88 stars, 4 forks; issue activity unavailable in current metadata
  • Permission surface: secrets or environment access, network or browser access

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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