Borrowing it
Nothing to install: this file belongs to gabcoyne/airflow-unfactor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gabcoyne/airflow-unfactor/main/CLAUDE.mdgit clone --depth 1 https://github.com/gabcoyne/airflow-unfactorWrote 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/instructions/gabcoyne/airflow-unfactor/claude-md)<a href="https://agentmods.dev/instructions/gabcoyne/airflow-unfactor/claude-md"><img src="https://agentmods.dev/badge/instructions/gabcoyne/airflow-unfactor/claude-md.svg" alt="Measured on agentmods" 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 | $0.01029 | $0.01029 |
| Opus 5 | $0.00515 | $0.00515 |
| Sonnet 5 | $0.00206 | $0.00206 |
| Haiku 4.5 | $0.00103 | $0.00103 |
Grade A, and why
airflow-unfactor 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 8d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — airflow-unfactor
Project Overview
An MCP server for LLM-assisted conversion of Apache Airflow DAGs to Prefect flows. The LLM reads raw DAG source code directly and generates complete Prefect flows using pre-compiled translation knowledge.
Key Insight: Deterministic code templating is brittle for DAG conversion. Instead, we provide raw source code + translation knowledge compiled from live sources, and the LLM generates the code.
Architecture
┌─────────────────────────────────────────────────────────────────┐
│ Build Time (Colin) │
│ colin/models/*.md → colin run → colin/output/*.json │
│ (GitHub source, Prefect MCP docs, LLM summarization) │
└─────────────────────────────┬───────────────────────────────────┘
│ compiled JSON
┌─────────────────────────────▼───────────────────────────────────┐
│ MCP Server (Runtime) │
│ │
│ 1. read_dag → Raw DAG source code for LLM to read │
│ 2. lookup_concept → Translation rules from Colin output │
│ 3. search_prefect_docs → Live Prefect docs for gaps │
│ 4. LLM generates complete Prefect flow code │
│ 5. validate → Syntax check + both sources for review │
│ 6. scaffold → Project directory structure │
└─────────────────────────────────────────────────────────────────┘
We provide raw code, translation knowledge, and validation. The LLM generates the code.
MCP Tools
| Tool | Purpose |
|---|---|
read_dag |
Read a DAG file, return raw source + metadata (path, size, line count) |
lookup_concept |
Query Airflow→Prefect translation knowledge (operators, patterns, connections) |
search_prefect_docs |
Search live Prefect documentation via Prefect MCP server |
validate |
Return both sources + syntax check for LLM comparison |
scaffold |
Generate Prefect project directory structure (not code) |
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.
- 8d ago First seen · 116 lines · 1,029 tokens per session scan A bfa5fd8bb19c
airflow-unfactor CLAUDE.md is an instructions file published in the GitHub repository gabcoyne/airflow-unfactor (9 stars, last pushed 3mo ago), licensed MIT. It adds 1,029 tokens to every session, about $0.0051 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 2026-08-31.
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