Skill audit report
Monitor business phone lines and deployed voice agents with LineCanary — scheduled CALL-E test calls that walk the caller journey, assert structured results, diff against baselines and alert on regressions. Use when the user asks whether a phone line or voice agent still works, wants ongoing phone-line monitoring, or wants a post-deploy phone smoke test in CI.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
81 GitHub stars
Stars/forks activity
WARN53
81 stars, 233 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL36
command execution surface, credential or environment access
Install availability
PASS92
npx skills add CALLE-AI/awesome-phone-call-agents --skill linecanary-monitor
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/CALLE-AI/awesome-phone-call-agents/tree/main/skills/linecanary-monitor
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add CALLE-AI/awesome-phone-call-agents --skill linecanary-monitor
Repository
88
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/linecanary-monitor
License
86
MIT
Maintenance
100
5d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
36
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
53
81 stars, 233 forks; issue activity unavailable in current metadata
Adoption
68
81 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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