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 supervisor-review-queuegit 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/supervisor-review-queue)<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/supervisor-review-queue"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/supervisor-review-queue/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/supervisor-review-queue"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/supervisor-review-queue.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 | $0.01023 |
| Opus 5 | $0.00034 | $0.00511 |
| Sonnet 5 | $0.00014 | $0.00205 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
supervisor-review-queue 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/supervisor-review-queue
- Check
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md→ supervision style. If NOT "formal review queue": explain the clinic is set up for [flags/lighter-touch], no formal queue exists, and how to switch. - Use the workflow below.
- Default: show what's waiting, by urgency, by student.
- Actions: approve / edit-then-approve / return with note. All logged.
/legal-clinic:supervisor-review-queue
/legal-clinic:supervisor-review-queue --approve Q-003
/legal-clinic:supervisor-review-queue --return Q-004 "Check the service requirement — local rules changed"
Supervisor Review Queue (Optional)
Purpose
Some clinics want a formal gate: student drafts, professor reviews, output releases. Others find that too prescriptive — they supervise through case rounds and one-on-ones, not through a queue.
This skill is only active if ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → Supervision style is "formal review queue." Otherwise it's dormant — the cold-start interview asks the professor which model they want, and this is one of three options.
Whether to use a formal review workflow is genuinely an open question for clinic adoption. It depends on student experience level, caseload, and how the professor already runs supervision. The professor decides at setup and can change it later.
Load context
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → supervision style. If NOT "formal review queue": respond with "The clinic is set up for [flags/lighter-touch] supervision — there's no formal queue. [Professor] reviews through [the clinic's existing structure]. To switch to a formal queue, edit CLAUDE.md → Supervision style."
If formal queue IS enabled → read flag triggers and proceed.
The queue
Lives at references/review-queue.yaml. Each entry:
- id: Q-001
type: "draft" # intake | draft | memo | status | client-letter
client: "[name or ID]"
student: "[name]"
submitted: [timestamp]
flags:
- rule: "Court filing"
detail: "Eviction answer — always queued"
content_path: "[path to the document]"
status: "pending" # pending | approved | edited-approved | returned
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 109 lines · 68 tokens per session scan A e53fcc75bb6b
supervisor-review-queue 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 1,023 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.
Other skills, from other repositories
policy-qa
Triage loop for inbound HR policy questions. Classifies each new question from the HR inbox as answerable from the documented Notion policy library or as needing HR's judgment, drafts a grounded Gmail reply for the former, and escalates the latter — anything ambiguous, legal, personal, or compensation-related — to…
patsnap-ip-innovation-courses
Patsnap IP & Innovation Courses MCP for AI agents. A one-stop learning entry for courses, course details, and training materials on IP and innovation. It helps teams build a structured understanding of patents, search, analysis, and business use while lowering the learning barrier for new users. It is useful for…
learn-law-with-rohas
Acts as an interactive legal tutor for learning a law, legal subject, doctrine, judgment, procedure, or legal concept. Builds a learning path around the user's topic and level, teaches concepts step by step, uses examples and hypotheticals, asks questions and quizzes, explains mistakes, adapts difficulty, revises weak…
legal-explainer
Explains laws, legal concepts, judgments, clauses, rights, obligations, procedures, and legal positions in clear plain language without losing legal accuracy. Use when a user asks "what does this mean?", "explain this law simply", "explain this clause", "what does this judgment actually say", "explain this to a…
grad-public-choice
Apply public choice theory to analyze political decision-making as rational self-interested behavior. Use this skill when the user needs to evaluate government policy failures, rent-seeking costs, voting outcomes, or bureaucratic incentives, especially when the assumption of benevolent government is questionable.
creative-commons-explainer
Explains a specific Creative Commons licence in plain language, telling a media professional exactly what they can and cannot do with the licensed content — including attribution requirements, commercial use rules, and derivative work restrictions.