OpenAgentSkill
GitHub200+

Pre-install eval

find-journal 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
68
Eval report
69
Trust
75
Audit
47
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

94

pass

Task wording matches this skill metadata.

  • Evaluate find-journal before installing it in an agent workflow
  • design-creative
  • Finance and quant workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add Aperivue/medsci-skills --skill find-journal

Install command safety

92

pass

standard package or runtime install path

  • npx skills add Aperivue/medsci-skills --skill find-journal

Trust score

69

warn

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

  • Manual review
  • 292 GitHub stars
  • MIT

Audit score

75

warn

Needs review

  • The skill relies on a bundled Python script (assess_acceptance_readiness.py) which is not reviewed here; ensure it is safe and does not execute untrusted content.

Agent safety gate

47

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: Shell or command execution

License clarity

86

pass

MIT

  • MIT

Permission surface

62

warn

shell or command execution, filesystem or document access

  • Shell or command execution: high
  • 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
  • The skill relies on a bundled Python script (assess_acceptance_readiness.py) which is not reviewed here; ensure it is safe and does not execute untrusted content.
  • High-risk permission hints: Shell or command execution
  • The skill reads user-local private profiles from $HOME, which is expected, but ensure the skill does not inadvertently expose or exfiltrate sensitive data.
  • Quality score needs review

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

warn

76

Public metadata needs stronger README/SKILL.md context

Recent maintenance

pass

88

2mo since push

Alternatives available

pass

82

Alternative skills are available for comparison.