Borrowing it
Nothing to install: this file belongs to ihsaan-ullah/auto-codabench. 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/ihsaan-ullah/auto-codabench/master/CLAUDE.mdgit clone --depth 1 https://github.com/ihsaan-ullah/auto-codabenchWrote 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/ihsaan-ullah/auto-codabench/claude-md)<a href="https://agentmods.dev/instructions/ihsaan-ullah/auto-codabench/claude-md"><img src="https://agentmods.dev/badge/instructions/ihsaan-ullah/auto-codabench/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/ihsaan-ullah/auto-codabench/claude-md"><img src="https://agentmods.dev/badge/instructions/ihsaan-ullah/auto-codabench/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 | $0.02697 | $0.02697 |
| Opus 5.5 | $0.01079 | $0.01079 |
| Sonnet 5.5 | $0.00539 | $0.00539 |
| Haiku 4.5 | $0.00270 | $0.00270 |
Grade A, and why
auto-codabench 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.
How it starts
The opening of the file, as written. The whole thing — 74 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.
What this repo is
autocodabench: a pip-installable library for agentic authoring + pre-launch validation of Codabench competition bundles, built on the Claude Agent SDK. Target venue: JMLR MLOSS (see docs/ and the design discussion on branch jmlr-oss-direction). The package lives in src/autocodabench/; a Chainlit web UI (web/, deployed as an HF Space via Dockerfile) consumes the library; benchmark/ holds the pure-SDK end-to-end benchmarks (create-bench and validate-bench, both live under benchmark/).
The root README.md doubles as the HF Spaces metadata file — its YAML header configures the Space; don't remove it.
Commands
pip install -e . # editable install (also: pip install -e '.[dev]')
python -m pytest tests/ # unit suite — fast, fully keyless, must stay that way
# Keyless CLI paths (work with no Claude auth at all):
autocodabench demo --out /tmp/demo # rebuild+validate the demo bundle from a recorded run
autocodabench validate <bundle-dir-or-zip> [--facts facts.yaml]
autocodabench checks list # registered checks by tier, with citations
# Auth-requiring paths (subscription login preferred; ANTHROPIC_API_KEY second):
autocodabench auth status [--no-probe] # active path + masked creds; verifies the SDK can sign in (live turn) unless --no-probe
autocodabench auth use <auto|subscription|api_key> # choose; subscription hides any key from the SDK
autocodabench validate <bundle> --judged # adds LLM-judged advisory checks
autocodabench plan-build-validate "<idea>" [--data D] [--pdf P] # agentic plan→build→validate pipeline (alias: create; idea and/or a PDF proposal)
autocodabench plan "<idea>" [--data D] # Phase 1 only → specs/implementation_plan.md
autocodabench build <plan.md | --run-dir D> # Phase 2 only → build a bundle from a plan
# Any agentic command above accepts --backend: claude[:model] (default), ollama:<m>, openai:<m>, or URL#<m>.
python -m autocodabench.core.bundle_io # core smoke test (demo bundle in a tempdir)
python -m autocodabench.mcp.server # MCP stdio server (hangs on stdin — correct)
python scripts/make_demo_fixture.py # regenerate the shipped replay fixture
cd web && chainlit run app.py --host 127.0.0.1 --port 8500 -h # web UI (needs .env)
# Deploy the web UI to the Hugging Face Space (GitHub master is the source of
# truth; the script injects the HF README header and force-pushes to hf main):
scripts/deploy_hf.sh [--dry-run] [--yes] [src-ref] # default src-ref: origin/master
# Benchmarks (pure-SDK; any backbone via --backend; needs Docker + a populated instrument):
python benchmark/autocodabench_create_bench/run.py --competition style-trans-fair --backend claude
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 · 74 lines · 2,697 tokens per session scan A e90ebe57f78c
auto-codabench CLAUDE.md is an instructions file published in the GitHub repository ihsaan-ullah/auto-codabench (2 stars, last pushed 3mo ago), licensed MIT. It adds 2,697 tokens to every session, about $0.0108 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.