keryx
CLAUDE.md0 starsChanged 16 days agoMITView on GitHub
These rules apply equally to AGENTS.md and CLAUDE.md. Keep both files identical. Unit tests make no model calls. Live tests run only with KERYX_LIVE=1.
- Installs packages
The file
We split this CLAUDE.md into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
No committed file names an external skill pack.
- Distinctive: line 15
Never push, tag or open a PR without the owner's explicit go.
- Distinctive: line 17
Never print or store credentials.
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Repository Agent Instructions
These rules apply equally to AGENTS.md and CLAUDE.md. Keep both files identical.
What lives here
bench/— the replay benchmark (Python packagekeryx_bench).docs/design/— designs;docs/plans/— implementation plans;docs/bench/— published benchmark summaries (aggregate numbers only).
Rules
- No committed file names an external skill pack.
- Private data never enters the repo: cases, system files, results and provenance live in
~/.config/keryx/and~/.local/share/keryx/. - Commits follow Conventional Commits, never name an AI assistant or tool, and carry no co-author trailers. Stage files by name.
- Never push, tag or open a PR without the owner's explicit go.
- Dependencies: latest versions via
uv pip install, pinned inbench/requirements.txtto the installed version. - Never print or store credentials.
Tests
cd bench && .venv/bin/pytest -qUnit tests make no model calls. Live tests run only with KERYX_LIVE=1.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

