policyengine
policyengine is a Statistical modelling skill for AI agents, published by PolicyEngine in the policyengine-claude repository on GitHub. Skillspace rates policyengine D (57/100) and it passed the safety scan; the rating is based on static analysis only.
ALWAYS load this skill before writing any Python that computes taxes, benefits, or policy impacts with PolicyEngine — household calculations, microsimulation, reform scoring, poverty or distributional analysis, state/district/constituency breakdowns. Triggers: policyengine, microsimulation, calculate_household, reform impact, budgetary impact, cost of a policy, revenue estimate, poverty rate, child poverty, winners and losers, decile, Gini, inequality, CTC, EITC, SNAP, income tax, universal credit, state-level analysis, congressional district, constituency, Populace dataset, MicroSeries, ensure_datasets, economic_impact_analysis, managed_microsimulation. NOT for: implementing new variables/parameters inside country models (use policyengine-model-development) or calling the REST API from JS (use policyengine-api).
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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