Skill audit report

find-journal Audit report.

Journal recommendation engine for medical manuscripts. 2-pass matching against a curated public profile library plus any user-local private profiles, enriched with detailed write-paper profiles for top-5 output. Returns ranked recommendations with scope fit rationale, AI disclosure policy, and homepage links. Impact-factor and APC figures in a profile are point-in-time and may be stale — verify current metrics at the journal site. A pre-ranking acceptance-readiness pre-flight scans the manuscript for design-ceiling, unfixable-defect, and importance-risk signals to add an acceptance-feasibility axis alongside scope fit, and the output includes a reject-fallback cascade plan.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 6, 2026Heuristic metadata audit
75
Audit
69
Trust
68
Quality
77
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

69
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

62

292 GitHub stars

Stars/forks activity

INFO

62

292 stars, 71 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

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

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/Aperivue/medsci-skills/tree/main/skills/find-journal

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 · 7 Needs review

Install path

92

PASS

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

Repository

88

PASS

https://github.com/Aperivue/medsci-skills/tree/main/skills/find-journal

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

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.

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

62

CHECK

292 stars, 71 forks; issue activity unavailable in current metadata

Adoption

68

INFO

292 GitHub stars

Warnings

  • 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.
  • 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

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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