Skill audit report
Place one CALL-E phone call to get a spoken, code-verified human approval before an agent or a pipeline does something irreversible, such as a production deploy, a database restore, a bulk refund or a migration. Use when the approver is away from a keyboard and the action cannot be undone.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
63 GitHub stars
Stars/forks activity
WARN53
63 stars, 127 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL28
command execution surface, credential or environment access
Install availability
PASS92
npx skills add CALLE-AI/awesome-phone-call-agents --skill deployment-approval-call
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/deployment-approval-call
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 deployment-approval-call
Repository
88
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/deployment-approval-call
License
86
MIT
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
28
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
53
63 stars, 127 forks; issue activity unavailable in current metadata
Adoption
68
63 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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