Skill audit report
interview the user to design an agentic control loop (sensor, controller, actuator under disturbances) tailored to their codebase, then build it as locally-runnable components plus a scheduled coding-agent workflow
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.1K GitHub stars
Stars/forks activity
INFO77
3.1K stars, 91 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
25d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add humanlayer/skills --skill design-control-loop
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/humanlayer/skills/tree/main/plugins/design-control-loop/skills/design-control-loop
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add humanlayer/skills --skill design-control-loop
Repository
88
https://github.com/humanlayer/skills/tree/main/plugins/design-control-loop/skills/design-control-loop
License
86
MIT
Maintenance
100
25d since push
AI review
55
The skill references using `--permission-mode bypassPermissions` in the agent runner templates, which could be dangerous if misused. While the skill cautions about trusted runners, it does not provide explicit guardrails for ensuring the generated workflows use least privilege or sandboxing.
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
77
3.1K stars, 91 forks; issue activity unavailable in current metadata
Adoption
88
3.1K 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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