Skill audit report
Design and audit PFC 5.0 wall servo, loading-rate control, equilibrium checks, micro-to-macro calibration, two-target local solves, DOE campaigns, and independent confirmation for asphalt models.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
28 GitHub stars
Stars/forks activity
WARN43
28 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
25d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc5-servo-calibration
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/Echo-aloha/asphalt-codex-skills-5/tree/main/skills/pfc5-servo-calibration
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc5-servo-calibration
Repository
88
https://github.com/Echo-aloha/asphalt-codex-skills-5/tree/main/skills/pfc5-servo-calibration
License
86
MIT
Maintenance
100
25d since push
AI review
55
The skill declares a dependency on 'pfc-burger-viscoelastic' but that skill is not included in this repository; users must ensure it is available separately.
README/SKILL.md completeness
84
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
88
database access
Stars/forks activity
43
28 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
28 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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