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policyengine-healthcare

policyengine-healthcare is a skill for Claude Code from PolicyEngine/policyengine-claude. It costs 246 tokens per session (2,619 once invoked), scanned A, original, MIT.

Guidance for analyzing US health programs in PolicyEngine, including Medicaid, the Affordable Care Act premium tax credit, CHIP, and Medicare. These programs often provide health coverage or reduced costs rather than cash payments.

In plain words
What is it for?
Use it to analyze eligibility and effects for Medicaid, ACA premium tax credits, CHIP, and Medicare, and to choose an appropriate measure of health impact.
Why use it?
It prevents treating health benefits as ordinary income when measuring a policy change. In particular, it explains why a reform may show no change in household net income even when health support changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the data-science plugin — 8 skills shipped together , and of analysis-tools, country-models, complete

not rated 31repo changed 24d ago A scan SkillSpector: warn 246 tokens original MIT

Good fit Use it to analyze eligibility and effects for Medicaid, ACA premium tax credits, CHIP, and Medicare, and to choose an appropriate measure of health impact.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/policyengine/policyengine-claude/policyengine-healthcare
View source ↗ PolicyEngine/policyengine-claude
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PolicyEngine/policyengine-claude --skill policyengine-healthcare
Clone the repo
git clone --depth 1 https://github.com/PolicyEngine/policyengine-claude

Made for: Claude Code.

Or install data-science, the plugin that ships this one along with the rest of its 8 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for policyengine-healthcare

README.md
[![agentmods](https://agentmods.dev/badge/skills/policyengine/policyengine-claude/policyengine-healthcare/github.svg)](https://agentmods.dev/skills/policyengine/policyengine-claude/policyengine-healthcare)
Your own site
<a href="https://agentmods.dev/skills/policyengine/policyengine-claude/policyengine-healthcare"><img src="https://agentmods.dev/badge/skills/policyengine/policyengine-claude/policyengine-healthcare/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for policyengine-healthcare

Your own site · 80×15
<a href="https://agentmods.dev/skills/policyengine/policyengine-claude/policyengine-healthcare"><img src="https://agentmods.dev/badge/skills/policyengine/policyengine-claude/policyengine-healthcare.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 246 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,619 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00246 $0.02619
Opus 5.5 $0.00098 $0.01048
Sonnet 5.5 $0.00049 $0.00524
Haiku 4.5 $0.00025 $0.00262

Measured 24d ago against content hash 153b5a0e1dfd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

policyengine-healthcare scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 24d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/policyengine-healthcare/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PolicyEngine US healthcare domain knowledge

Medicaid, the ACA marketplace (premium tax credit), CHIP, and Medicare are the hardest US programs to analyze correctly, because they are modeled as in-kind health benefits rather than cash. This skill is the domain layer for analysts using the policyengine package; for non-health US programs use policyengine-us, for the shared calculation/reform mechanics use the policyengine skill, and for building new health variables use policyengine-model-development.

Verified against policyengine 4.21.0 / policyengine-us 1.764.6 (2026-07). Re-verify variable names and parameter values before reporting.

The one gotcha that dominates everything: health benefits are excluded from net income

gov.simulation.include_health_benefits_in_net_income defaults to False. ACA PTC, Medicaid, CHIP, and Medicare cost flow through household_health_benefits, which the default household_net_income does not include. So a reform that changes aca_ptc or medicaid produces a $0 change in household_net_income — the single biggest time-sink in health analysis. If you score a PTC or Medicaid reform by net-income change and get zero, this is why.

Measure health impact one of these ways instead:

  • household_net_income_including_health_benefits — the same net income with health benefits folded in. Its difference from household_net_income is exactly the household's health-benefit value.
  • The program variable directly — aca_ptc (tax_unit), medicaid (person), summed or differenced across baseline and reform.
  • Population cost: pe.us.calculate_budgetary_impact. Its total already adds the shared-funding health-program cost (Medicaid / CHIP / Medicare Savings Programs) on top of Δtax − Δbenefits, so it captures the health split automatically — do not hand-roll it from household_net_income. See the policyengine skill for the population flow.

Verified end to end (single adult, $35k, Texas — ACA-eligible, not Medicaid-eligible):

Read the full file on GitHub · 188 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 24d ago Changed 153b5a0e1dfd
  2. 2mo ago First seen · 188 lines · 246 tokens per session scan A b7e3d323cc96

Subscribe to this mod's changes

policyengine-healthcare is a skill published in the GitHub repository PolicyEngine/policyengine-claude (31 stars, last pushed yesterday), licensed MIT. It adds 246 tokens to every session and 2,619 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Scientific
Related

policyengine-healthcare compared with skills from other repositories

policyengine-healthcare next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
policyengine-healthcarePolicyEngine/policyengine-claudeSkill31yesterdayMITA246Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k3d agoApache-2.0A123Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill57ktodayMITA44Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill57ktodayMITA83Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill57ktodayMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33ktodayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8ktodayApache-2.0A205Claude Code