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 client-lettergit 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/client-letter)<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/client-letter"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/client-letter/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/client-letter"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/client-letter.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 | $0.00064 | $0.01893 |
| Opus 5 | $0.00032 | $0.00946 |
| Sonnet 5 | $0.00013 | $0.00379 |
| Haiku 4.5 | $0.00006 | $0.00189 |
Grade A, and why
client-letter 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/client-letter
- Load
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md→ plain-language standards, supervision style, clinic contact info. - Use the templates and workflow below.
- Match type to template. Plain-language check.
- Output with AI-assisted label, supervision routing.
Scope: routine only. Substantive advice → /status client or a conversation with the professor.
/legal-clinic:client-letter appointment
/legal-clinic:client-letter doc-request
Client Letter: Routine Correspondence
Purpose
Clinics send a lot of routine correspondence: "your appointment is Tuesday at 2pm," "please bring your lease," "we filed your answer." This skill handles those from templates so students aren't typing the same letter every week.
Scope: routine only. Substantive advice, bad news, case strategy — those are /status client or a conversation, not a template letter.
Load context
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → plain-language standards, supervision style, clinic contact info.
Pedagogy check
Read the supervisor guide for this practice area at ~/.claude/plugins/config/claude-for-legal/legal-clinic/guides/<practice-area>.md. Check the pedagogy_posture setting:
guide(default): Produce the structure and the checklist (required elements, plain-language targets, sign-off per student practice rule). Ask the student to draft each section. Give feedback on their draft (register, reading level, required elements, what they missed). Offer to fill a section only when the student has tried once.assist: Produce the letter. Flag items for student review. The student edits and learns by reviewing.teach: Don't produce the letter. Ask the student to draft it. Give feedback. Ask leading questions when they're stuck. Only show a model paragraph after two attempts, and only the section they're stuck on. Track what they got right and wrong so the supervisor can see progress.
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 · 167 lines · 64 tokens per session scan A 3506b4ac466f
client-letter 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 64 tokens to every session and 1,893 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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