Skill audit report
Build PFC 5.0 asphalt-mixture specimens with explicit aggregate objects, a declared homogenized-mastic or fine-particle abstraction, residual air voids, measured gradation conversion, contact-pair assignment, compaction, equilibrium, and mass-volume closure; use before Marshall, rutting, creep, or strength tests.
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
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-asphalt-mixture
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/Echo-aloha/asphalt-codex-skills-5/tree/main/skills/pfc-asphalt-mixture
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 pfc-asphalt-mixture
Repository
88
https://github.com/Echo-aloha/asphalt-codex-skills-5/tree/main/skills/pfc-asphalt-mixture
License
86
MIT
Maintenance
88
1mo since push
AI review
55
The skill depends on external skills (pfc5-asphalt-workflow, pfc-burger-viscoelastic) that are not included in this repository; ensure they are available in the target environment.
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, filesystem or document access
Stars/forks activity
43
28 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
28 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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