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use-case-triage

use-case-triage is a skill for Claude Code from ZekaiSuni/claude-for-legal-turkish. It costs 85 tokens per session (1,296 once invoked), scanned A, original, Apache-2.0.

A review process for proposed business uses of AI tools, classified as approved, conditionally approved, or rejected under company rules and Turkish data and copyright requirements.

In plain words
What is it for?
Use it to assess whether a proposed AI use is allowed, set conditions for a conditional approval, and route unresolved issues to legal or product teams.
Why use it?
It identifies privacy, copyright, security, and governance risks before sensitive data or an AI tool is used.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md.

Part of the ai-governance-legal plugin — 10 skills, 3 MCP servers shipped together

not rated 103repo 4mo ago A scan 85 tokens original Apache-2.0

Good fit Use it to assess whether a proposed AI use is allowed, set conditions for a conditional approval, and route unresolved issues to legal or product teams.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zekaisuni/claude-for-legal-turkish/use-case-triage
View source ↗ ZekaiSuni/claude-for-legal-turkish
Install

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.

Any agent
npx skills add ZekaiSuni/claude-for-legal-turkish --skill use-case-triage
Clone the repo
git clone --depth 1 https://github.com/ZekaiSuni/claude-for-legal-turkish

Made for: Claude Code.

Or install ai-governance-legal, the plugin that ships this one along with the rest of its 10 skills, 3 MCP servers.

Wrote 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.

agentmods badge for use-case-triage

README.md
[![agentmods](https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/use-case-triage/github.svg)](https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/use-case-triage)
Your own site
<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/use-case-triage"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/use-case-triage/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.

agentmods 80×15 button for use-case-triage

Your own site · 80×15
<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/use-case-triage"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/use-case-triage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,296 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.01296
Opus 5 $0.00043 $0.00648
Sonnet 5 $0.00017 $0.00259
Haiku 4.5 $0.00009 $0.00130

Measured 12d ago against content hash b46ea9052361, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

use-case-triage 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.

ai-governance-legal/skills/use-case-triage/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/use-case-triage (Yapay Zeka Kullanım Senaryosu Triyajı)

Amaç

Bu skill, iş birimlerinden gelen "Şu amaçla X yapay zeka aracını kullanabilir miyiz?" veya "Verileri falanca LLM'e yükleyebilir miyiz?" sorularını, şirketin AI Kullanım Politikası'na, KVKK uyumuna ve FSEK risklerine göre triyajlar.

Çıktı bir hukuki mütalaa değil, Hukuk/Uyumluluk birimine (Privacy/Product Counsel) yönlendirilmeden önceki ilk risk değerlendirmesi ve şartlar (conditions) raporudur.

İş Akışı

  1. ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md dosyasını oku.
  2. ## Yapay Zeka Kullanım Envanteri ve ## Kırmızı Çizgiler (Red Lines) bölümlerini kontrol et.
  3. Senaryo belirsizse (hangi veri kullanılacak, hangi tool, vb.) eksik bilgileri netleştirmesi için kullanıcıya soru sor.
  4. Kayıt (Registry) taraması yap → Kırmızı Çizgi (Red line) kontrolü yap → Sınıflandır.
  5. Çıktı olarak: Sınıflandırma sonucu, gerekçe, KVKK/FSEK şartları (eğer şartlıysa), yönetişim seviyesi ve Hukuk/Ürün birimlerine handoff aktarımı sağla.

Türkiye Uyarlama Katmanı (KVKK ve FSEK)

Değerlendirmeyi şu kriterlere göre yapın:

  1. KVKK (Kişisel Verilerin Korunması) Riskleri:

    • Veri Tipi: Senaryo anomimleştirilmiş veri mi, genel kişisel veri mi, yoksa Özel Nitelikli Kişisel Veri mi içeriyor?
    • Veri Aktarımı (KVKK m.9): Bulut tabanlı (OpenAI, Anthropic) modeller veriyi yurt dışına gönderir. Sunucu Türkiye'de (On-Premise) değilse, KVKK m.9 aktarım kuralları (veya açık rıza) şartı triyajda açıkça belirtilmelidir.
    • Otomatik Karar Alma: İnsan müdahalesi olmadan karar alma (KVKK m.11) ciddi risk taşır (EU AI Act Yüksek Risk).

  2. Ticari Sır (TTK m. 54-55) & Avukatlık Sırrı (Av.K m.36):

    • Kaynak kodu, şirketin finansal verileri, gizli evraklar public LLM'lere (ChatGPT Free vs.) girilemez. Enterprise sözleşmesi var mı kontrol et.

  3. FSEK (Fikri Mülkiyet / Telif) Riskleri:

    • AI'ın ürettiği eserlerin/kodun FSEK ihlali doğurup doğurmadığı uyarısı eklenir.

Read the full file on GitHub · 85 lines

Changes

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.

  1. 12d ago First seen · 85 lines · 85 tokens per session scan A b46ea9052361

Subscribe to this mod's changes

use-case-triage 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 85 tokens to every session and 1,296 once invoked, about $0.0004 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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