Skill audit report
Design and review context budget governance for agent prompts and model calls. Use when assembling long conversation context, tool results, retrieved evidence, memory, task state, system rules, multimodal observations, or compressed summaries under a token budget.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
28 GitHub stars
Stars/forks activity
WARN43
28 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add HsienW/ai-agent-engineering-playbook --skill context-budget-governance
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
secrets or environment access
Repository evidence
PASS86
https://github.com/HsienW/ai-agent-engineering-playbook/tree/master/skills-runtime-governance/context-budget-governance
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add HsienW/ai-agent-engineering-playbook --skill context-budget-governance
Repository
88
https://github.com/HsienW/ai-agent-engineering-playbook/tree/master/skills-runtime-governance/context-budget-governance
License
86
MIT
Maintenance
88
1mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
74
secrets or environment access
Stars/forks activity
43
28 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
28 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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