What is ai-workflow-intelligence CLAUDE.md?

A project instruction file for an AI development workflow system. It explains the project's purpose, architecture, folders, technologies, data format, and development rules.

Guiding work on data collectors, processing pipelines, analysis commands, and automated updates for the workflow-intelligence project.

It gives Claude Code the project context and rules needed to make consistent changes in the repository.

How zehedisode/ai-workflow-intelligence configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to zehedisode/ai-workflow-intelligence. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/zehedisode/ai-workflow-intelligence/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/zehedisode/ai-workflow-intelligence

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/zehedisode/ai-workflow-intelligence/claude-md/github.svg)](https://agentmods.dev/instructions/zehedisode/ai-workflow-intelligence/claude-md)

Your own site

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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.

Your own site · 80×15

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Per session 1,437 This file is loaded in full into every session.

When invoked 1,437 The same file — it is already loaded in full.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01437	$0.01437
Opus 5.5	$0.00575	$0.00575
Sonnet 5.5	$0.00287	$0.00287
Haiku 4.5	$0.00144	$0.00144

Measured 2mo ago against content hash 29bbcd494c99, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-workflow-intelligence CLAUDE.md 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 2mo 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.

CLAUDE.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Development Workflow Intelligence (AWI)

Proje Amacı

Bu proje, dünya çapında "vibecoding" (AI destekli yazılım geliştirme) yapan geliştiricilerin hangi AI araçlarını, hangi kombinasyonlarla, hangi senaryolarda kullandığını araştırıp standartlaştıran ve bu bilgiden yola çıkarak geliştiricilere en uygun araç/iş akışı kombinasyonunu öneren bir sistemdir.

Üç ana bileşen:

Collectors — dış kaynaklardan ham veri toplar (GitHub config dosyaları, Reddit/HN tartışmaları, dev anketleri).
Pipeline — ham veriyi normalize edip ortak şemaya (bkz. data/schema.md) dönüştürür ve data/processed/ altında saklar.
Analysis + CLI — birlikte-kullanım (co-occurrence) analizleri yapar ve awi recommend komutuyla kullanıcıya kombinasyon önerir.

Sistem zamanla kendi kendini güncelleyecek: .github/workflows/auto_update.yml periyodik olarak collector'ları çalıştırıp pipeline'ı yeniden işler ve data/processed/ snapshot'ını günceller.

Mimari Kararlar

Dil: Python 3.11+
CLI framework: typer
Veri doğrulama: pydantic modelleri (src/awi/models/schema.py)
Veri formatı: Diskte JSON Lines (.jsonl) — büyüyen veri setleri için satır satır ekleme/okuma kolay, git diff'i okunabilir.
Analiz: Başlangıçta basit frekans + co-occurrence matrisi (pandas). Veri seti büyüdükçe embedding tabanlı benzerlik/kümeleme eklenecek (bkz. src/awi/analysis/README TODO notları).

Klasör Yapısı

data/
  schema.md              # Kanonik veri şeması dokümantasyonu
  seed/                  # Elle küratörlüğü yapılmış başlangıç veri seti
  raw/                   # Collector'ların ham çıktısı (gitignored)
  processed/             # Normalize edilmiş, analiz-hazır veri (jsonl)
src/awi/
  collectors/            # Dış kaynaklardan veri çeken modüller
  models/                # Pydantic şema tanımları
  pipeline/              # Normalize + birleştirme mantığı
  analysis/              # Co-occurrence, skorlama, öneri motoru, sentiment
  tool_info.py           # Araçların yalın Türkçe açıklamaları (ortak kaynak)
  mcp_server.py          # Öneri motorunu MCP aracı olarak dışa açar
  cli.py                 # Typer CLI giriş noktası
  config.py              # Merkezi yol sabitleri ve ortam değişkeni override (AWI_DATA_DIR)
scripts/
  update_dataset.sh      # collector + pipeline'ı tek komutla çalıştırır
baslat.sh                # Teknik bilmeyen için tek komutluk sohbet yardımcısı
vibe_oneri.py            # baslat.sh'nin çalıştırdığı soru-cevap önerici
MCP_KURULUM.md           # MCP'yi Cursor/Windsurf/Claude Desktop'a bağlama rehberi

Read the full file on GitHub · 116 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.

2mo ago First seen · 116 lines · 1,437 tokens per session scan A 29bbcd494c99

Subscribe to this mod's changes

ai-workflow-intelligence CLAUDE.md is an instructions file published in the GitHub repository zehedisode/ai-workflow-intelligence (0 stars, last pushed 3mo ago), licensed MIT. It adds 1,437 tokens to every session, about $0.0057 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 2026-08-31.

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ai-workflow-intelligence: Instructions file for Claude Code