Skill audit report
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, Microcosm (formerly 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).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
32 GitHub stars
Stars/forks activity
WARN43
32 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, external package install surface
Install availability
PASS92
npx skills add PolicyEngine/policyengine-claude --skill policyengine
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/PolicyEngine/policyengine-claude/tree/main/skills/policyengine
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add PolicyEngine/policyengine-claude --skill policyengine
Repository
88
https://github.com/PolicyEngine/policyengine-claude/tree/main/skills/policyengine
License
86
MIT
Maintenance
100
6d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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.
Compare nearby options
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67K Stars · Audit report
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113K Stars · Audit report
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33K Stars · Audit report
Usable description available
Dependency risk
54
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
43
32 stars, 6 forks; issue activity unavailable in current metadata
Adoption
42
32 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.