dilekce-crexac

dilekce-crexac is a skill for Claude Code from esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri. It costs 194 tokens per session (1,561 once invoked), scanned A, original, MIT.

A Turkish legal-writing method that presents the conclusion, governing rule, explanation, a similar example or court decision, the application to the facts, and the final conclusion. CREXAC adds an example step to the common CREAC structure.

In plain words
What is it for?
Use it for Turkish lawsuits, responses, replies, rejoinders, or criminal defences that need support from a relevant precedent or comparable example.
Why use it?
It makes a legal argument easier to follow when a similar case or example shows how the rule works in practice.

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

Good fit Use it for Turkish lawsuits, responses, replies, rejoinders, or criminal defences that need support from a relevant precedent or comparable example.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-crexac
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-crexac
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-crexac

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-crexac"><img src="https://agentmods.dev/badge/skills/esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri/dilekce-crexac.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 194 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,561 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 $0.00194 $0.01561
Opus 5 $0.00097 $0.00781
Sonnet 5 $0.00039 $0.00312
Haiku 4.5 $0.00019 $0.00156

Measured 12d ago against content hash 4fc418476847, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dilekce-crexac 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-crexac/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CREXAC ile Dilekçe Oluşturma

CREXAC, CREAC şemasına emsal örnek (Example) katmanını ekleyen bir analiz/yazım şemasıdır: kuralı soyut açıklamakla yetinmez, kuralın benzer bir olayda nasıl uygulandığını gösteren bir emsal karara veya örnek olaya dayanır. Emsal kararın güçlü olduğu, "benzer olayda mahkeme şöyle değerlendirdi" denilebilen dosyalarda; tezi emsalle pekiştirip somut olaya tatbik etmek için güçlüdür.

Ne zaman kullanılır

  • Davayı taşıyan güçlü bir emsal karar veya örnek olay var; kuralın benzer olguda nasıl uygulandığı tezi destekliyor.
  • "Benzer bir uyuşmazlıkta mahkeme şöyle değerlendirdi" diyerek somut olayla paralellik kurulabiliyor.
  • Soyut kural anlatımının tek başına yetmediği, emsalle örneklemenin ikna gücünü artırdığı dosyalar.
  • Dava, cevap, replik, düplik veya ceza savunması — tür fark etmez.

CREXAC mantığı

  1. C — Sonuç (Conclusion): Vardığın sonucu/talebi baştan net koy.
  2. R — Kural (Rule): Uygulanacak mevzuat hükmü/içtihat/ilke.
  3. E — Açıklama (Explanation): Kuralın anlamını ve unsurlarını soyut olarak aç.
  4. X — Emsal Örnek (Example): Kuralın benzer bir olayda nasıl uygulandığını gösteren emsal karar veya örnek olay — kısa atıf + ilke.
  5. A — Uygulama (Application): Kuralı ve emsali somut olaya tatbik et (işin kalbi); olgular arası paralelliği kur.
  6. C — Sonuç (Conclusion): Açılışla tutarlı kapanış sonucu; NETİCE VE TALEP'te pekiştirilir.

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: .udfudf-cli udf2md; çok sayfalı .tiff/.tif → sayfalara böl, tek tek oku; PDF/foto/metin → doğrudan oku.
  3. Emsali tespit et: somut olayla paralel, güçlü bir emsal karar/örnek olay belirle; uydurma karar no kullanma.
  4. CREXAC iskeletini kur — adım tanımları ve eşleme tablosu için references/cerceve-yapisi.md.
  5. Çıktıyı üret (docx/html/udf/pdf) — references/bicim-ve-cikti.md.
  6. Doğrula ve sun.

Read the full file on GitHub · 81 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 · 81 lines · 194 tokens per session scan A 4fc418476847

Subscribe to this mod's changes

dilekce-crexac is a skill published in the GitHub repository esaterbiltavus/yapay-zeka-turkce-dilekce-skilleri (12 stars, last pushed 2mo ago), licensed MIT. It adds 194 tokens to every session and 1,561 once invoked, about $0.0010 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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