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.
npx agentmods add instructions/pipelex/cocode/claude-mdgit clone --depth 1 https://github.com/Pipelex/cocodeWhat 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 | $0.00355 | $0.00355 |
| Opus 5 | $0.00178 | $0.00178 |
| Sonnet 5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
cocode 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 yesterday.
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.
What it actually says
cocode — Coding Rules
cocode is an AI-powered codebase analysis CLI built on Pipelex (repo→text extraction, changelog generation, doc updates, doc/code drift proofreading).
Commands
Ensure the Python virtual environment is set up before running any of these. For standard installations the venv is
.venv— activate it (or use the.venv/bin/...entry points) sopipelex,pytest,ruff, etc. resolve correctly.
Linting
After making code changes, always lint with make agent-check.
make agent-check
# If `make` is unavailable, run the "agent-check" target's commands one by one
# (targets: fix-unused-imports format lint pyright mypy).
This fixes unused imports, formats and lints with Ruff, and type-checks with Pyright and Mypy. Fix any issues it reports before proceeding.
Cleaning Derived Files
If the linters or pytest collection get confused after you erase or move files, clean the derived caches:
make cleanderived
Running Tests
make agent-test runs the test suite and is critical at the end of a coding session to verify everything is good before wrapping up. It is silent on success and only prints output on failure.
make agent-test
# If `make` is unavailable, look up the "agent-test" target in the Makefile and run it manually.
During local development it's fine to run only the tests relevant to your changes — e.g. make t TEST=TestClassName or .venv/bin/pytest -x -q tests/path/to/test_module.py.
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.
- yesterday First seen · 39 lines · 355 tokens per session scan A 7f856195fa50
cocode CLAUDE.md is an instructions file published in the GitHub repository Pipelex/cocode (20 stars, last pushed 5d ago), licensed MIT. It adds 355 tokens to every session, about $0.0018 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 2026-08-30.
Other instructions, from other repositories
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langchain 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.