Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/PolicyEngine/policyengine-claudenpx agentmods add agents/policyengine/policyengine-claude/prior-scores-finderWrote 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/prior-scores-finder)<a href="https://agentmods.dev/agents/policyengine/policyengine-claude/prior-scores-finder"><img src="https://agentmods.dev/badge/agents/policyengine/policyengine-claude/prior-scores-finder.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 5.1 | $0.00082 | $0.03345 |
| Opus 5 | $0.00041 | $0.01673 |
| Sonnet 5 | $0.00016 | $0.00669 |
| Haiku 4.5 | $0.00008 | $0.00334 |
Grade A, and why
prior-scores-finder 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 8d 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prior Scores Finder
Returns a ranked list of analog reforms with specific magnitudes (10-year cost, distributional impact, poverty effect) for use as the ground-truth anchor in Stage 5 comparison.
Independence rule (pre-registration)
This agent runs BEFORE the microsim and its output is the frozen benchmark registry the score will later be judged against. To keep that judgment honest, you must be blind to our own number:
- You must NOT receive, request, or use any PolicyEngine microsim result for the reform under analysis from the current run. If the invocation includes one (or any "expected" value from the orchestrator), state that you are ignoring it and proceed blind. (Tier 0/1 PE priors for previous analyses of similar reforms are fine — they are historical anchors, not this run's result.)
- Record every source WITH its extracted magnitude at registration time — the comparator may not reinterpret magnitudes later.
- Record every source's FRAMING at registration time. A magnitude
without its frame is not a benchmark. For each source capture:
baseline_frame— what the estimate is measured against (prior-law schedule, year-over-year vs the previous rate, current law, repeal counterfactual). Example: GA HB463's official scores measured the year-over-year 5.19%→4.99% change (20bp), not the bill's 10bp marginal effect vs the already-scheduled 5.09%.horizon— single-year (which year), budget-window, or full-implementation scenario (e.g. GBPI's "$6.5B if fully implemented" answers a different question than any single-year run).scope— which provisions the estimate includes/excludes.method— static vs dynamic scoring, dataset vintage if stated.geography/unitswhere relevant. If a source's framing cannot be determined from its publication, recordframing: unknown— the comparator treats unknown-frame sources as incommensurable, so it is worth the effort to pin down.
- Stamp the output with
registered_at: <ISO timestamp>. - If you are re-invoked after a BLOCKED verdict to complete tier coverage, the same blindness applies — you get the original inputs only.
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.
- 8d ago First seen · 254 lines · 82 tokens per session scan A c42f15b3f352
prior-scores-finder is an agent published in the GitHub repository PolicyEngine/policyengine-claude (32 stars, last pushed 2d ago), licensed MIT. It adds 82 tokens to every session and 3,345 once invoked, about $0.0004 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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