Borrowing it
Nothing to install: this file belongs to TJC-LP/sanzaru. 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/TJC-LP/sanzaru/main/CLAUDE.mdgit clone --depth 1 https://github.com/TJC-LP/sanzaruWrote 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/tjc-lp/sanzaru/claude-md)<a href="https://agentmods.dev/instructions/tjc-lp/sanzaru/claude-md"><img src="https://agentmods.dev/badge/instructions/tjc-lp/sanzaru/claude-md/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.
<a href="https://agentmods.dev/instructions/tjc-lp/sanzaru/claude-md"><img src="https://agentmods.dev/badge/instructions/tjc-lp/sanzaru/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.09907 | $0.09907 |
| Opus 5 | $0.04953 | $0.04953 |
| Sonnet 5 | $0.01981 | $0.01981 |
| Haiku 4.5 | $0.00991 | $0.00991 |
Grade A, and why
sanzaru 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 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.
How it starts
The opening of the file, as written. The whole thing — 799 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
A stateless FastMCP server wrapping OpenAI's Sora Video API and Responses API (image generation). Supports both stdio (for MCP clients) and HTTP streaming (for web clients) transports. Exposes MCP tools for async video/image generation with polling-based workflows.
Key Architecture Principles:
- Stateless: No database, no in-memory job tracking. All state lives in OpenAI's cloud.
- Async polling pattern: Create → Poll → Download workflow for both videos and images
- Security sandbox: Reference images restricted to configured media paths with path traversal protection
- Type-safe: Extensive use of TypedDict and Literal types from OpenAI SDK
- Dual transport: stdio (default) for Claude Desktop, HTTP for web clients and remote access
Development Commands
# Install dependencies
uv sync
# Run the MCP server (stdio mode - default)
uv run sanzaru
uv run sanzaru serve # explicit alias
# Run the MCP server (HTTP mode - stateless)
uv run sanzaru --transport http
uv run sanzaru --transport http --port 3000
uv run sanzaru --transport http --host 0.0.0.0 --port 8080
# Agent CLI (same tools as shell commands — see docs/cli.md)
uv run sanzaru capabilities
uv run sanzaru video create "a cat stretches" --seconds 4 -o ./out/cat.mp4
uv run sanzaru image generate "an icon" --quality high -o ./art/icon.png
uv run sanzaru podcast generate @script.json --verify -o ep.mp3 # check the audio says it
uv run sanzaru podcast rundown "why TTS drops sentence tails" --acts 3 -m 6 -o rundown.json
uv run sanzaru podcast simulate @rundown.json --dry-run # plan + cost, spends nothing
uv run sanzaru podcast simulate @rundown.json --max-cost 2.00 -o ep.mp3
# Lint and format code
ruff check .
ruff format .
# Test the server locally (requires Claude Code or MCP client)
claude # in this directory with .mcp.json configured
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.
- 9d ago First seen · 799 lines · 9,907 tokens per session scan A 1a846ca1ef4b
sanzaru CLAUDE.md is an instructions file published in the GitHub repository TJC-LP/sanzaru (6 stars, last pushed today), licensed MIT. It adds 9,907 tokens to every session, about $0.0495 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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