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 anylegal-ai/anylegal-oss --skill researchgit clone --depth 1 https://github.com/anylegal-ai/anylegal-ossWrote 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/anylegal-ai/anylegal-oss/research)<a href="https://agentmods.dev/skills/anylegal-ai/anylegal-oss/research"><img src="https://agentmods.dev/badge/skills/anylegal-ai/anylegal-oss/research/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/anylegal-ai/anylegal-oss/research"><img src="https://agentmods.dev/badge/skills/anylegal-ai/anylegal-oss/research.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 | $0.00032 | $0.00942 |
| Opus 5 | $0.00016 | $0.00471 |
| Sonnet 5 | $0.00006 | $0.00188 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
research 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 12d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legal Research
When to Use
Use this skill when:
- The user asks a legal question or wants to know about a law/regulation
- The user says /research
- The user asks about market standards, typical terms, or industry norms
- The user needs jurisdiction-specific legal information
- The user asks for regulatory guidance or compliance information
Process
- Identify jurisdiction — infer from the question, document context, or session context. If ambiguous, ask the user.
- Match language — search in the same language the user is writing in. If the user writes in Russian, use Russian-language search queries first (e.g., "ограничение ответственности SaaS договор"). Add English queries only as supplement if Russian results are insufficient.
- Search authoritative sources first — use
web_searchwith the jurisdiction set, targeting official government and institutional domains for statutory text, regulations, and case law. Frame queries with specific section/article numbers when known. - Read full pages with
web_fetch— once you have URLs to authoritative sources, fetch them to get complete article/section text. Don't rely on search snippets for citations. - Cross-reference — for any cited statute or case, run a follow-up search to verify the citation is correct, current, and not superseded.
- Supplement with secondary sources — use
web_searchfor legal commentary, market standards, regulatory guidance, and practitioner analysis. Tag these as "commentary" rather than authority. - Synthesize the findings into a clear answer with inline citations.
- Cite every factual claim using
[[N]](URL)format. Start numbering from [1] in every new response or document — never continue numbering from earlier messages.
Output Format
Structure research responses as:
- Answer: Direct, practical answer to the question with inline citations
- Jurisdiction Context: Which jurisdiction this applies to and any cross-jurisdiction notes
- Key Points: Bullet points of the most important findings, each cited
- Practical Recommendations: What the user should do based on the research
- Sources: Numbered list of all sources cited
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.
- 12d ago First seen · 77 lines · 32 tokens per session scan A 0f69d6b1a460
research is a skill published in the GitHub repository anylegal-ai/anylegal-oss (11 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 942 once invoked, about $0.0002 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.
Other skills, from other repositories
specification-writing
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regulatory-research-fallback
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x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
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Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…
nda-review
Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…