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 skills add ThomasMoreAI/legal-skills-open --skill legal-searchgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/skills/thomasmoreai/legal-skills-open/legal-search)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/legal-search"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/legal-search/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.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/legal-search"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/legal-search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00103 | $0.01336 |
| Opus 5 | $0.00051 | $0.00668 |
| Sonnet 5 | $0.00021 | $0.00267 |
| Haiku 4.5 | $0.00010 | $0.00134 |
Grade A, and why
legal-search scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://www.courtlistener.com/api/rest/v4/search/?q=qualified+immunity&type=o&order_by=score+desc" \ How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legal Case Law and Regulation Search
Search US case law via CourtListener and Harvard Case Law Access Project, and EU law via EUR-Lex. Covers court opinions, dockets, and legislative documents.
CourtListener API (US Case Law)
Free, open API for US federal and state court opinions and dockets.
Base URL: https://www.courtlistener.com/api/rest/v4/
Search Opinions
curl -s "https://www.courtlistener.com/api/rest/v4/search/?q=qualified+immunity&type=o&order_by=score+desc" \
| python3 -c "
import sys, json
data = json.load(sys.stdin)
for r in data.get('results', [])[:10]:
name = r.get('caseName', 'N/A')
court = r.get('court', 'N/A')
date = r.get('dateFiled', 'N/A')
cite = r.get('citation', [r.get('sibling_ids', 'N/A')])
print(f'[{date}] {name}')
print(f' Court: {court}')
print()
"
Search Dockets
curl -s "https://www.courtlistener.com/api/rest/v4/search/?q=antitrust+merger&type=r&order_by=score+desc"
Filter by Date Range
curl -s "https://www.courtlistener.com/api/rest/v4/search/?q=fourth+amendment+digital+privacy&type=o&filed_after=2020-01-01&filed_before=2024-12-31&order_by=dateFiled+desc"
Filter by Court
# Supreme Court opinions
curl -s "https://www.courtlistener.com/api/rest/v4/search/?q=free+speech&type=o&court=scotus&order_by=dateFiled+desc"
# Specific circuit court
curl -s "https://www.courtlistener.com/api/rest/v4/search/?q=patent+eligibility&type=o&court=cafc&order_by=dateFiled+desc"
Common Court Codes
scotus (SCOTUS), ca1-ca11 (Circuit Courts), cafc (Federal Circuit),
cadc (DC Circuit), nyd (SDNY), cand (N.D. Cal).
Harvard Case Law Access Project
Historical US case law (1658-2020). Free API with registration.
Base URL: https://api.case.law/v1/
Search Cases
curl -s "https://api.case.law/v1/cases/?search=miranda+rights&decision_date_min=2000-01-01&page_size=10" \
| python3 -c "
import sys, json
data = json.load(sys.stdin)
for c in data.get('results', []):
name = c.get('name_abbreviation', 'N/A')
date = c.get('decision_date', 'N/A')
court = c.get('court', {}).get('name', 'N/A')
cite = c.get('citations', [{}])[0].get('cite', 'N/A') if c.get('citations') else 'N/A'
print(f'[{date}] {name}')
print(f' Citation: {cite} Court: {court}\n')
"
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.
- 9d ago First seen · 135 lines · 103 tokens per session scan A 6d8de3cf7721
legal-search is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,336 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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