OpenAgentSkill
GitHub200+

Pre-install eval

evo-citation-scorer Eval report.

A machine-readable install decision for agents: task fit, Trust Score, Audit Score, install safety, permission surface, and a concrete validation plan before this skill touches a workspace.

Needs reviewMedium riskREVIEW Policy
64
Eval report
64
Trust
72
Audit
48
Agent safety

manual review

Test manually in an isolated workspace and compare against safer alternatives.

Required gates

Checks an agent must pass before install

Open JSON

Task fit

84

pass

Task wording matches this skill metadata.

  • Evaluate evo-citation-scorer before installing it in an agent workflow
  • data-analysis
  • Research agents workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

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

Install command safety

92

pass

standard package or runtime install path

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

Trust score

64

warn

Potentially useful, but at least one trust signal needs human inspection.

  • Manual review
  • 88 GitHub stars
  • Apache-2.0

Audit score

72

warn

Needs review

  • Permission surface may require sandboxing

Agent safety gate

48

warn

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

  • Test manually in an isolated workspace and compare against safer alternatives.
  • High-risk permission hints: Secrets or environment access

License clarity

86

pass

Apache-2.0

  • Apache-2.0

Permission surface

60

warn

secrets or environment access, network or browser access

  • Network access: medium
  • Secrets or environment access: high

Validation plan

What the agent should do next

  1. 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
  2. 2Install in an isolated workspace or sandbox with no production secrets available.
  3. 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
  4. 4Compare the selected skill against at least one alternative when the eval status is review or failed.
  5. 5Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when

Conditions that require another skill

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • 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.
  • High-risk permission hints: Secrets or environment access
  • Permission surface may require sandboxing
  • 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.

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

pass

86

Metadata includes enough usage and workflow context

Recent maintenance

pass

88

1mo since push

Alternatives available

pass

82

Alternative skills are available for comparison.