Skill audit report
Open Knowledge Format (OKF) v0.2 guidance. Use when creating, reading, reviewing, or maintaining an OKF bundle; responding to OpenKnowledge `okf` plugin warnings; or choosing types, provenance, links, indexes, or logs.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.6K GitHub stars
Stars/forks activity
INFO77
3.6K stars, 224 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
GPL-3.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add inkeep/open-knowledge --skill okf-knowledge-base
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/inkeep/open-knowledge/tree/main/packages/server/assets/skills/packs/okf
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add inkeep/open-knowledge --skill okf-knowledge-base
Repository
88
https://github.com/inkeep/open-knowledge/tree/main/packages/server/assets/skills/packs/okf
License
86
GPL-3.0
Maintenance
88
2mo since push
AI review
55
The repository path in the skill metadata (open-knowledge-skills) differs from the provided repository (open-knowledge), which may cause minor attribution confusion.
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
77
3.6K stars, 224 forks; issue activity unavailable in current metadata
Adoption
88
3.6K GitHub stars
Warnings
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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