Skill audit report
Place a one-off welcome and onboarding call to a customer who just signed up, capture a structured result such as business type, goal, pain points, sentiment, and activation status, then write that result back to a CRM and queue a human follow-up task when the customer asks for one.
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
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/customer-onboarding-call
Review status
INFO66
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 customer-onboarding-call
Repository
88
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/customer-onboarding-call
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The skill does not explicitly address how to handle failures when writing to the CRM or when the provider does not return structured results as expected.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, network or browser access
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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