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 use-case-triagegit 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/use-case-triage)<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.
<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>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 | $0.00085 | $0.01296 |
| Opus 5.5 | $0.00034 | $0.00518 |
| Sonnet 5.5 | $0.00017 | $0.00259 |
| Haiku 4.5 | $0.00009 | $0.00130 |
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 1mo 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 — 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
~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.mddosyasını oku.## Yapay Zeka Kullanım Envanterive## Kırmızı Çizgiler (Red Lines)bölümlerini kontrol et.- Senaryo belirsizse (hangi veri kullanılacak, hangi tool, vb.) eksik bilgileri netleştirmesi için kullanıcıya soru sor.
- Kayıt (Registry) taraması yap → Kırmızı Çizgi (Red line) kontrolü yap → Sınıflandır.
- 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:
-
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).
-
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.
-
FSEK (Fikri Mülkiyet / Telif) Riskleri:
- AI'ın ürettiği eserlerin/kodun FSEK ihlali doğurup doğurmadığı uyarısı eklenir.
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.
- 1mo ago First seen · 85 lines · 85 tokens per session scan A b46ea9052361
use-case-triage is a skill published in the GitHub repository ZekaiSuni/claude-for-legal-turkish (108 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,296 once invoked, about $0.0003 per session on Opus 5.5. 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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terms-of-service
Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
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Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the…