demand-intake

demand-intake is a skill for Claude Code from ZekaiSuni/claude-for-legal-turkish. It costs 51 tokens per session (925 once invoked), scanned A, original, Apache-2.0.

A preparation workflow for responding to or sending a Turkish ihtarname, which is a formal legal demand notice. It collects the parties, facts, legal basis, requested action, evidence, deadline, delivery method, and settlement context before drafting.

In plain words
What is it for?
Gathering the information needed to prepare a demand notice, identifying the requested remedy and deadline, recording supporting evidence, and choosing whether the tone should be adversarial, cooperative, or investigative.
Why use it?
It helps ensure that a demand letter is based on confirmed facts and that key timing, evidence, and strategy questions are addressed first. It creates an intake file for the later drafting step.

Skill for Claude Code

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

Part of the litigation-legal plugin — 16 skills, 1 agent shipped together

Good fit Gathering the information needed to prepare a demand notice, identifying the requested remedy and deadline, recording supporting evidence, and choosing whether the tone should be adversarial, cooperative, or investigative.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zekaisuni/claude-for-legal-turkish/demand-intake
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 demand-intake
Clone the repo
git clone --depth 1 https://github.com/ZekaiSuni/claude-for-legal-turkish

Made for: Claude Code.

Or install litigation-legal, the plugin that ships this one along with the rest of its 16 skills, 1 agent.

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 demand-intake

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/demand-intake"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/demand-intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 925 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 $0.00051 $0.00925
Opus 5 $0.00026 $0.00463
Sonnet 5 $0.00010 $0.00185
Haiku 4.5 $0.00005 $0.00093

Measured 9d ago against content hash 2e8af44ef464, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

demand-intake 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.

litigation-legal/skills/demand-intake/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/demand-intake

İhtarname taslaklamadan önce yapılandırılmış hazırlık dosyası oluşturur. Çıktı demand-draft tarafından okunacak intake.md dosyasıdır.

Instructions

  1. Load ~/.claude/plugins/config/claude-for-legal/litigation-legal/CLAUDE.md.

  2. Run adaptive intake: always ask the core questions; ask strategic block if --full or the matter is significant.

  3. Create a slug from title, counterparty, and date.

  4. Write ~/.claude/plugins/config/claude-for-legal/litigation-legal/demand-letters/[slug]/intake.md.

  5. Confirm:

    Hazırlık kaydedildi. Hazır olduğunuzda /litigation-legal:demand-draft [slug] komutunu çalıştırın.

Core Questions

Ask:

  1. Kim adına ihtar gönderilecek? (müvekkil / şirket / kişi)
  2. Muhatap kim?
  3. İlişki nedir? (sözleşme, ticari ilişki, iş ilişkisi, IP, alacak, kira, diğer)
  4. Tetikleyici olay nedir?
  5. Talep nedir? (ödeme, aykırılığın giderilmesi, fesih, tecavüzün durdurulması, bilgi/belge, diğer)
  6. Verilecek süre nedir?
  7. Hangi deliller var?
  8. Daha önce yazışma, arabuluculuk veya sulh görüşmesi yapıldı mı?

Posture First

Ask before strategy:

Bu ihtarnamedeki duruş ne olmalı: mücadele, uzlaşma, soruşturma/inceleme, bekle-gör, yoksa yalnızca hak saklama?

Record:

posture: mücadele | uzlaşma | soruşturma | bekle | hak_saklama

Strategic Block

If important or --full, ask:

  • Bu ihtar dava veya icra öncesi son adım mı?
  • İkrar, ibra, feragat veya zamanaşımı riski var mı?
  • Arabuluculuk süreci var mı veya gerekir mi?
  • Sulh görüşmeleri gizliliği var mı?
  • Muhatap tacir mi? TTK m.18/3 bildirim şekli kontrol edilmeli mi?
  • Gönderim yöntemi: noter, KEP, iadeli taahhütlü, e-posta, portal?
  • Hangi sonucu almaya çalışıyoruz?
  • Karşı tarafın muhtemel cevabı ne?

Intake Template

[AVUKAT ÇALIŞMA ÜRÜNÜ - TASLAK]

# İhtarname Ön Hazırlık: [Title]

**Slug:** [slug]
**Tarih:** [YYYY-MM-DD]
**Duruş:** [posture]

## Taraflar

**İhtar eden:** [name]
**Muhatap:** [name]
**Vekalet / temsil:** [status]

## Vakıa ve Tetikleyici Olay

[facts with sources]

## Hukuki Dayanak

[contract/statute/general basis; mark verify where needed]

## Talep ve Süre

[requested action and deadline]

## Deliller

- [source]

## Gönderim Yöntemi

[noter / KEP / iadeli taahhütlü / e-posta / other]

## Risk Kapıları

- İkrar riski:
- İbra / feragat riski:
- Zamanaşımı / hak düşürücü süre:
- Arabuluculuk / sulh görüşmeleri:
- Mesleki sır:

## Taslaklama Notları

[tone, constraints, open questions]

Read the full file on GitHub · 119 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. 9d ago First seen · 119 lines · 51 tokens per session scan A 2e8af44ef464

Subscribe to this mod's changes

demand-intake 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 51 tokens to every session and 925 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.

Related

Other skills, from other repositories

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs.

HKUDS/OpenSpace · 20 tokens

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.

x-cmd/x-cmd · 57 tokens

gesellschaftsrechtliche-satzungen-agb

Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.

Klotzkette/claude-fuer-deutsches-recht · 69 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

nda-review

Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…

LegalQuants/lq-ai · 79 tokens