Skill audit report
Scan allowlisted local project metadata and build privacy-safe AI Context Linker bundles from a reviewed JSON manifest. Use when a user asks to prepare or refresh local project context for ChatGPT or another AI assistant, validate an AI Context Linker workspace config or manifest, generate a project briefing or relationship graph, or publish reviewed context to an explicit local or Drive-synced directory without uploading source code.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
29 GitHub stars
Stars/forks activity
WARN43
29 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO62
command execution surface, external package install surface
Install availability
PASS92
npx skills add xhonye/AI-Context-Linker --skill ai-context-linker
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/xhonye/AI-Context-Linker/tree/main/skills/ai-context-linker
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add xhonye/AI-Context-Linker --skill ai-context-linker
Repository
88
https://github.com/xhonye/AI-Context-Linker/tree/main/skills/ai-context-linker
License
86
MIT
Maintenance
100
Pushed today
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
62
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
43
29 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
29 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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