Skill audit report
pyfixest-cupy64-absorbed-regressors Audit report.
pyfixest demeaner_backend="cupy64" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend="cupy64" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
47 GitHub stars
Stars/forks activity
WARN43
47 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
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 kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors
Repository
88
https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors
License
86
MIT
Maintenance
100
Pushed today
AI review
88
Approved with no listed issues
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
88
database access
Stars/forks activity
43
47 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
47 GitHub stars
Warnings
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 47 GitHub stars
- Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata
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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