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 ZekaiSuni/claude-for-legal-turkish --skill deep-researchgit clone --depth 1 https://github.com/ZekaiSuni/claude-for-legal-turkishWrote 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/zekaisuni/claude-for-legal-turkish/deep-research)<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/deep-research"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/deep-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/zekaisuni/claude-for-legal-turkish/deep-research"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/deep-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 | $0.00058 | $0.01674 |
| Opus 5 | $0.00029 | $0.00837 |
| Sonnet 5 | $0.00012 | $0.00335 |
| Haiku 4.5 | $0.00006 | $0.00167 |
Grade A, and why
cocounsel-legal:deep-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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Westlaw Deep Research
Westlaw Deep Research searches Westlaw's database of caselaw, statutes, and administrative decisions and returns a written research report that explains, analyzes, or synthesizes relevant authority.
Deep Research employs an agentic process that mirrors the methodology of human researchers, utilizing Westlaw's proprietary tools to systematically analyze the trusted content available on Westlaw and Practical Law.
This skill will autonomously run the full research cycle: start, poll, report.
Prerequisites
The cocounsel-legal MCP server must be connected. Verify it is available before starting research. If the server is not connected, inform the user and stop.
When to Use
- Use for any questions answerable from caselaw, statutes, regulations, administrative materials, secondary sources, Practical Law documents and Current Awareness materials, including JD Supra. Examples include:
- How courts have ruled on an issue or what authority supports or challenges a position
- The elements or defenses of a claim, or the governing standard for an issue in a particular jurisdiction
- How a statute, regulation, or doctrine is being interpreted and applied
- The arguments on both sides of an unsettled question
When Not to Use
- If the request falls into one of the categories below, briefly explain that this skill isn't the right fit and point the user to the suggested alternative.
- Retrieving the full text of a specific document
- Instead: Suggest the traditional search box on Westlaw.
- Summarizing what a specific statute, regulation, or treatise says on its own (e.g., "what does the California Evidence Code say about hearsay?")
- Instead: Suggest the traditional search box on Westlaw.
- Analytics requests ("How often has Justice Scalia ruled in favor of…?")
- Instead: Suggest Litigation Analytics on Westlaw.
- Calculations ("What is the last possible filing date if…?")
- Instead: This request is out of scope of Westlaw Deep Research
- Outcome predictions
- Instead: This request is out of scope of Westlaw Deep Research
- Drafting legal documents, forms, or templates
- Instead: Suggest CoCounsel
- Information about specific judges, attorneys, or parties
- Instead: Suggest Litigation Analytics on Westlaw
- Foreign or non-U.S. law
- Instead: Suggest country-specific version of Westlaw, such as Westlaw UK or Westlaw Canada, or use Westlaw International
- Comparisons across more than three jurisdictions
- Instead: Suggest AI Jurisdictional Surveys on Westlaw
- Terms and Connectors (boolean) search queries
- Instead: Suggest the traditional search box on Westlaw
- Commands for execution of tasks
- Instead: Suggest CoCounsel
- Obtaining an exhaustive list of results
- Instead: Suggest Boolean search or Precision Research on Westlaw
- Identifying potential causes of action
- Instead: Suggest Claims Explorer on Westlaw.
- An exhaustive review of fact patterns (e.g., "Find all cases discussing...")
- Instead: Suggest Precision Research on Westlaw.
- Retrieving the full text of a specific document
- If you suggest an alternative, do not attempt to use the Deep Research skill further for that task.
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 · 133 lines · 58 tokens per session scan A dc6540ec2611
cocounsel-legal:deep-research is a skill published in the GitHub repository ZekaiSuni/claude-for-legal-turkish (103 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,674 once invoked, about $0.0003 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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