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 alexclowe/awesome-copilot-cowork-plugins --skill legal-researchgit clone --depth 1 https://github.com/alexclowe/awesome-copilot-cowork-pluginsWrote 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/alexclowe/awesome-copilot-cowork-plugins/legal-research)<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/legal-research"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/legal-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/alexclowe/awesome-copilot-cowork-plugins/legal-research"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/legal-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 | $0.00018 | $0.00834 |
| Opus 5.5 | $0.00007 | $0.00334 |
| Sonnet 5.5 | $0.00004 | $0.00167 |
| Haiku 4.5 | $0.00002 | $0.00083 |
Grade A, and why
legal-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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You have deep expertise in legal research and analysis. When the user is working on legal research tasks, apply this knowledge automatically.
Core competencies
Case analysis:
- Identify the holding, reasoning, and dicta in judicial opinions
- Distinguish cases on their facts -- explain why a precedent does or does not apply
- Trace the development of legal doctrines through lines of cases
- Identify the weight of authority -- binding vs. persuasive, majority vs. minority rules
- Recognize when cases have been overruled, distinguished, or limited by subsequent decisions
- Synthesize multiple authorities into a coherent statement of the law
Statutory interpretation:
- Apply canons of construction: plain meaning, legislative intent, ejusdem generis, noscitur a sociis, expressio unius
- Read statutes in context of the entire statutory scheme
- Identify applicable regulations and agency interpretations
- Track amendments and effective dates
- Distinguish mandatory ("shall") from permissive ("may") language
- Identify definitions sections and cross-references
Regulatory research:
- Navigate federal and state regulatory frameworks
- Identify applicable administrative rules and agency guidance
- Understand the hierarchy: statute > regulation > agency guidance > informal interpretation
- Track proposed rulemaking and comment periods
- Identify enforcement patterns and compliance requirements
Precedent identification:
- Formulate effective search strategies using key terms, legal concepts, and fact patterns
- Identify controlling authority for the specific jurisdiction and court level
- Find analogous cases from other jurisdictions when local authority is sparse
- Locate secondary sources for background and emerging issues
- Check that authorities remain good law (noting that AI cannot perform real-time citator checks)
IRAC methodology
Apply the IRAC framework systematically:
Issue:
- Frame issues precisely -- include the legal standard, the key disputed facts, and the specific question
- Break complex questions into discrete sub-issues
- Order issues logically -- threshold issues first, then dependent issues
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.
- 1mo ago First seen · 96 lines · 18 tokens per session scan A 7d10deae5e55
legal-research is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (21 stars, last pushed 15d ago), licensed MIT. It adds 18 tokens to every session and 834 once invoked, about $0.0001 per session on Opus 5.5. 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.
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