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 beita6969/ScienceClaw --skill legal-analysisgit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/legal-analysis)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/legal-analysis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/legal-analysis/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/beita6969/scienceclaw/legal-analysis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/legal-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00359 |
| Opus 5 | $0.00009 | $0.00179 |
| Sonnet 5 | $0.00003 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
legal-analysis 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 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.
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.
What it actually says
Legal Analysis
Purpose
Analyze legal documents, extract key clauses, and perform structured legal research.
Key Datasets
- CUAD (atticus-project/cuad): Contract Understanding Atticus Dataset — 510 contracts, 41 clause types, 13,000+ annotations (CC-BY)
- CaseHOLD: Legal case holding identification
- LegalBench: Legal reasoning benchmark across 162 tasks
Clause Types (from CUAD)
Document Name, Parties, Agreement Date, Effective Date, Expiration Date, Renewal Term, Notice Period, Governing Law, Arbitration, Anti-Assignment, Non-Compete, Non-Solicitation, Termination for Convenience, IP Ownership, License Grant, Non-Disparagement, Revenue/Profit Sharing, Change of Control, Audit Rights, Uncapped Liability, Cap on Liability, Liquidated Damages, Most Favored Nation, Exclusivity, Minimum Commitment, Volume Restriction, Insurance, Covenant Not to Sue, Third Party Beneficiary
Protocol
- Document intake — Parse contract structure, identify parties and key dates
- Clause extraction — Identify and classify clauses by type
- Risk analysis — Flag unusual, missing, or potentially problematic provisions
- Comparison — Compare against standard terms for the contract type
- Summary — Structured output with key terms, obligations, and risks
Rules
- This is NOT legal advice — always recommend professional legal review
- Identify jurisdiction-specific considerations
- Flag ambiguous language that could be interpreted multiple ways
- Note missing standard clauses that are typically expected
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 · 31 lines · 17 tokens per session scan A 6f9dcc1e7e51
legal-analysis is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 17 tokens to every session and 359 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
treatment-plans
Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and…
redact-pii
Redact personal data from a document through the connected Superlinked MCP edge before working with the content. Use when the user asks to redact, anonymize, scrub, de-identify, or remove PII/sensitive data from a document.
meta-pdf-reformat-pipeline
Modernize a legacy PDF: structural extraction → natural-language rewrite of problem pages → audit summary → re-merge into the final PDF.
fill-icmje-coi
Batch-generate per-author ICMJE Conflict of Interest Disclosure Forms (coidisclosure.docx) for manuscript submission. Pre-fills all 13 disclosure items as "☒ None" + final certification ☒ using a synthetic seed template shipped with the skill, then clones the seed per author with Date, Name, and Manuscript Title…
ectd-xml-compiler
Automatically convert uploaded drug application documents (Word/PDF) into XML skeleton structure compliant with eCTD 4.0/3.2.2 specifications.
legal-writer
Legal document drafting -- contracts, memos, briefs, complaints, demand letters, opinions, discovery, settlements, ToS, privacy policies. Full pipeline: document structure, per-section writing, Bluebook citation, case law lookup (CourtListener API), regulation lookup (eCFR API), DOCX output, and TDD-style verification…