Skill audit report
Reverse-engineer Context Directive Records (CDRs) from an existing codebase for contribution to team-ai-directives. Use when bootstrapping team knowledge from brownfield projects.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
132 GitHub stars
Stars/forks activity
WARN51
132 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
18d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add tikalk/adlc-team-skills --skill levelup-init
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/tikalk/adlc-team-skills/tree/main/skills/levelup/levelup-init
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add tikalk/adlc-team-skills --skill levelup-init
Repository
88
https://github.com/tikalk/adlc-team-skills/tree/main/skills/levelup/levelup-init
License
86
MIT
Maintenance
100
18d since push
AI review
55
The provided script excerpt is truncated, but the visible portion is safe and does not contain destructive or risky operations.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
51
132 stars, 1 forks; issue activity unavailable in current metadata
Adoption
68
132 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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