Skill audit report

pyfixest-grid-sharding Audit report.

Diagnose and fix slow pyfixest regression GRIDS (many feols/fepois calls run sequentially) that stay slow despite demeaner_backend="cupy64" and an idle GPU. Use when: (1) a script looping dozens of pf.feols models on a 100k+ row panel takes ~1 min/model, (2) process inspection shows ~1-1.5 cores busy and nvidia-smi shows ~0% GPU utilization with a resident cupy context, (3) planning any worker prompt that will run a model grid (robustness variants x FE structures x domains). Root cause: per-model CPU-side single-threaded fixed costs (formulaic model-matrix build, interaction construction, singleton detection, cluster vcov) dominate wall time; GPU demeaning is a small slice. Fix: shard the model grid across OS processes and/or use pyfixest multiple-estimation syntax; mandate this IN THE WORKER PROMPT.

REVIEWED · REVIEWNeeds reviewGenerated Aug 24, 2026Heuristic metadata audit
80
Audit
77
Trust
64
Quality
86
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

77
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

47 GitHub stars

Stars/forks activity

WARN

43

47 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

Pushed today

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-grid-sharding

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-grid-sharding

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 6 Needs review

Install path

92

PASS

npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-grid-sharding

Repository

88

PASS

https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-grid-sharding

License

86

PASS

MIT

Maintenance

100

PASS

Pushed today

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

43

FIX

47 stars, 0 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

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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