OpenAgentSkill
GitHub200+

Pre-install eval

internal-audit-annual-plan 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
66
Eval report
65
Trust
72
Audit
56
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 internal-audit-annual-plan before installing it in an agent workflow
  • security
  • Security and compliance workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add guoliang1114-boop/AriaAI --skill internal-audit-annual-plan

Install command safety

92

pass

standard package or runtime install path

  • npx skills add guoliang1114-boop/AriaAI --skill internal-audit-annual-plan

Trust score

65

warn

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

  • Manual review
  • 37 GitHub stars
  • MIT

Audit score

72

warn

Needs review

  • SKILL.md references tools such as risk-scoring-matrix, audit-universe-builder, and resource-allocation-calculator, but does not provide or link to their implementations, so an agent cannot directly execute them from this skill alone.

Agent safety gate

56

warn

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

  • Test manually in an isolated workspace and compare against safer alternatives.
  • SKILL.md references tools such as risk-scoring-matrix, audit-universe-builder, and resource-allocation-calculator, but does not provide or link to their implementations, so an agent cannot directly execute them from this skill alone.

License clarity

86

pass

MIT

  • MIT

Permission surface

86

pass

filesystem or document access

  • Network access: medium
  • Filesystem access: medium

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
  • Low GitHub adoption signal
  • SKILL.md references tools such as risk-scoring-matrix, audit-universe-builder, and resource-allocation-calculator, but does not provide or link to their implementations, so an agent cannot directly execute them from this skill alone.
  • No OpenAgentSkill engagement data yet
  • The risk scoring framework is described at a high level, but the exact calculation formula or worked example for converting dimension scores into the weighted comprehensive risk score is not included.

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

warn

60

Public metadata needs stronger README/SKILL.md context

Recent maintenance

pass

88

2mo since push

Alternatives available

info

55

No close alternatives were found in the current shortlist.