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dilekce-treat

dilekce-treat is a skill for Claude Code from esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri. It costs 181 tokens per session (1,481 once invoked), scanned A, original, MIT.

A Turkish legal-writing method organised as Thesis, Rule, Explanation, Application, and a restated Thesis.

In plain words
What is it for?
Use it to draft Turkish petitions, replies, defenses, and other briefs when one main argument needs support from legislation, case law, or legal scholarship.
Why use it?
It keeps a legal argument focused on one central position while showing the rule, explaining it, applying it to the facts, and reinforcing the conclusion.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the dilekce-cerceveleri plugin — 12 skills shipped together

not rated 12repo 2mo ago A scan 181 tokens original MIT

Good fit Use it to draft Turkish petitions, replies, defenses, and other briefs when one main argument needs support from legislation, case law, or legal scholarship.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-treat
View source ↗ esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri
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 esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri --skill dilekce-treat
Clone the repo
git clone --depth 1 https://github.com/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri

Made for: Claude Code.

Or install dilekce-cerceveleri, the plugin that ships this one along with the rest of its 12 skills.

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 dilekce-treat

README.md
[![agentmods](https://agentmods.dev/badge/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-treat/github.svg)](https://agentmods.dev/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-treat)
Your own site
<a href="https://agentmods.dev/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-treat"><img src="https://agentmods.dev/badge/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-treat/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 dilekce-treat

Your own site · 80×15
<a href="https://agentmods.dev/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-treat"><img src="https://agentmods.dev/badge/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-treat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 181 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,481 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 $0.00181 $0.01481
Opus 5 $0.00090 $0.00740
Sonnet 5 $0.00036 $0.00296
Haiku 4.5 $0.00018 $0.00148

Measured 12d ago against content hash 77680b1e0f9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dilekce-treat 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.

skills/dilekce-treat/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TREAT ile Dilekçe Oluşturma

TREAT, IRAC'in geliştirilmiş bir biçimidir: tezle açılır, kuralı içtihat/öğretiyle açıklar (Explanation) ve aynı tezi sonda yeniden ifade ederek (restated) kapatır. Richard Neumann'ın savunduğu, brief/savunma yazımında popüler bu model; tek güçlü tez etrafında kurgulanan dosyalarda tezi okuyucunun zihnine yerleştirip pekiştirerek güçlü bir çerçeveleme etkisi yaratır.

Ne zaman kullanılır

  • Savunma/brief tek bir güçlü tez etrafında kurgulanacak; bu tez vurgulanarak öne çıkarılacak.
  • Kuralın yalnızca anılması yetmiyor; içtihat ve öğreti ile açıklanması (Explanation) gerekiyor.
  • Tezin okuyucunun zihnine baştan yerleştirilip sonda pekiştirilerek tekrarlanması isteniyor (çerçeveleme).
  • Dava, cevap, replik, düplik veya ceza savunması — tür fark etmez.

TREAT mantığı

  1. T — Tez (Thesis): Savunduğun ana iddiayı baştan, tek ve net cümleyle koy.
  2. R — Kural (Rule): Uygulanacak mevzuat/içtihat/ilke.
  3. E — Açıklama (Explanation): Kuralı içtihat ve öğreti ile yorumla; nasıl uygulandığını aç.
  4. A — Uygulama (Application): Açıklanan kuralı somut vakıalara tatbik et (işin kalbi).
  5. T — Tezin Tekrarı (Thesis restated): Baştaki tezi pekiştirerek yeniden ifade et; çerçeveyi kapat.

Çalışma akışı

  1. Dilekçe türünü belirle (dava/cevap/replik/düplik/savunma) — references/bicim-ve-cikti.md.
  2. Bilgileri topla: mahkeme ve dosya no, taraflar, konu, talepler, vakıalar, deliller. Eksikleri AskUserQuestion veya kısa sorularla tamamla. Dava dosyası verildiyse oku: .udf → udf-cli udf2md; çok sayfalı .tiff/.tif → sayfalara böl, tek tek oku; PDF/foto/metin → doğrudan oku.
  3. TREAT iskeletini kur — adım tanımları ve eşleme tablosu için references/cerceve-yapisi.md.
  4. Gövdeyi yaz: AÇIKLAMALAR'ı T → R → E → A → T akışıyla başlıklandır. Tez cümlesini bölümün başına koy; sonunda aynı tezi pekiştirerek tekrarla. Her hukuki mesele için ayrı bir TREAT bloğu kurabilirsin.
  5. Çıktıyı üret (docx/html/udf/pdf) — references/bicim-ve-cikti.md.
  6. Doğrula ve sun.

Read the full file on GitHub · 80 lines

Files

What ships with it

2 files 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.

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 · 80 lines · 181 tokens per session scan A 77680b1e0f9e

Subscribe to this mod's changes

dilekce-treat is a skill published in the GitHub repository esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri (12 stars, last pushed 2mo ago), licensed MIT. It adds 181 tokens to every session and 1,481 once invoked, about $0.0009 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.

Claude CodeLegal and complianceWriting and docsclaude-skillshukuklawtechlegal-techturkish
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