Skill audit report
Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
282 GitHub stars
Stars/forks activity
INFO62
282 stars, 74 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
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill productivity-analyzer
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/Analytics/productivity-analyzer
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill productivity-analyzer
Repository
88
https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/Analytics/productivity-analyzer
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The SKILL.md excerpt is truncated; full documentation should be verified for completeness.
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
62
282 stars, 74 forks; issue activity unavailable in current metadata
Adoption
68
282 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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