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 research-startgit 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/research-start)<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/research-start"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/research-start/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/research-start"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/research-start.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 | $0.00068 | $0.02468 |
| Opus 5 | $0.00034 | $0.01234 |
| Sonnet 5 | $0.00014 | $0.00494 |
| Haiku 4.5 | $0.00007 | $0.00247 |
Grade A, and why
research-start 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.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/research-start
- Load
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md→ jurisdiction, practice area. - Use the workflow below.
- Frame the issue specifically. Build roadmap: statutory starting points (unverified), case law areas (not cases), secondary sources, search terms.
- If student has existing research uploaded: synthesize and identify gaps.
- Output with prominent "leads not authorities" header. Everything is a starting point the student verifies.
/legal-clinic:research-start "habitability defense to nonpayment eviction in [State]"
Research Start: Roadmap, Not Research
Purpose
Legal research is essential to clinical education. But the initial phase — figuring out what to research, finding the right statute, understanding the framework — is often the most time-consuming and least educational part. Students spend hours finding the starting point before they can do the actual research.
This skill produces the starting point: statutes to check, case law areas to investigate, search terms for Westlaw and CourtListener. None of it is verified. None of it is authoritative. All of it is a lead for the student to run down.
This is a pedagogical safeguard, not just an ethical one. Students still learn to research. They just start from a better place.
Load context
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → jurisdiction (state), practice areas.
Workflow
Step 0: Seed documents first
Before building the roadmap, read the clinic's own seed documents. The supervising attorney uploaded them at cold-start (handbook, filing guides, local court rules, intake forms, example case files, prior memos) — they are pre-vetted, jurisdiction-specific, and will beat any Westlaw query on the first 20 minutes of a student's research.
- Read
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md→## Seed documents. Identify any item whose purpose or filename matches the research area (e.g., "Alameda UD filing guide" for a UD habitability question; a redacted sample case file in the same practice area; a prior memo on the same issue). - For each match, surface it as a Seed documents to read first block at the top of the roadmap output. Name the file, say why it matters for this specific question, and say what it likely covers vs. where outside research will still be needed.
- If no seed documents match the issue, say so plainly ("No clinic seed documents match this issue — proceeding straight to primary sources"). Don't fabricate a match.
- If the clinic has the
LIMITED DATAflag set in## Seed documents, add a one-line note: "Clinic has fewer than 10 seed docs; your professor's precedent bank is thin — lean harder on primary sources and flag what's missing for your supervisor."
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 · 204 lines · 68 tokens per session scan A 65da666111b0
research-start 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 68 tokens to every session and 2,468 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 2026-09-03.
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