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.
npx agentmods add agents/policyengine/policyengine-claude/reform-describergit clone --depth 1 https://github.com/PolicyEngine/policyengine-claudeWrote 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.
[](https://agentmods.dev/agents/policyengine/policyengine-claude/reform-describer)<a href="https://agentmods.dev/agents/policyengine/policyengine-claude/reform-describer"><img src="https://agentmods.dev/badge/agents/policyengine/policyengine-claude/reform-describer.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00061 | $0.00916 |
| Opus 5 | $0.00030 | $0.00458 |
| Sonnet 5 | $0.00012 | $0.00183 |
| Haiku 4.5 | $0.00006 | $0.00092 |
Grade A, and why
reform-describer 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reform Describer
Takes a reform JSON (parameter paths + values, ideally with the original provisions from policy-text-researcher) and produces:
- A 1-2 sentence
description(conceptual; no specific values) - A
provisionsarray grouped by program (specific values, all mechanical)
CRITICAL: Writing style rules
All text must follow these rules. Load the policyengine-writing skill for the full standard.
- Facts only: state what changes mechanically — specific values, thresholds, rates.
- No adjectives or judgments: never use words like "significant", "modest", "key", "important", "major", "small".
- No predictions: never say who benefits, how much they benefit, or what the effect will be. (Distributional results live in the impact report, not the description.)
- No editorial language: never use "providing", "benefiting", "relief", "burden", "equitably", "improving", "support", "helping", "boosting".
- No characterizations of affected populations: never say "low-income families" or "working families". Reference mechanical eligibility criteria (e.g., "filers within the federal EITC eligibility range").
- No comparative statements: never say "one of the smallest", "among the largest".
- No author attribution: never include "Authored by..." or sponsor information in the description body.
- Verbose about mechanics: list every specific parameter change with exact values.
Self-check: before returning, re-read every explanation field. If any sentence could appear in a press release or advocacy document, rewrite it.
Inputs
policy_id,jurisdiction,title(frompolicy-text-researcher)reform_dict(PolicyEngine parameter changes fromparameter-locator)provisions(mechanical change list frompolicy-text-researcher)
Output format
description (1-2 sentences, conceptual)
Examples:
Rhode Island H 7127 establishes a refundable state Child Tax Credit beginning in tax year 2027.
Oklahoma HB2229 increases the state EITC match rate.
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.
- 4d ago First seen · 84 lines · 61 tokens per session scan A 5cdf54a52053
reform-describer is an agent published in the GitHub repository PolicyEngine/policyengine-claude (32 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 916 once invoked, about $0.0003 per session on Opus 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.
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