agentleFS
voyager67voyager67/AgentFieldkit/AGENTS.md

AgentFieldkit

AGENTS.md0 starsChanged 13 days agoMITView on GitHub

The file

We split this AGENTS.md into the rules it gives an agent

3 rules. About 1 is common, 1 is distinctive, and 1 is very specific to this project.

  • ≈1

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer small, focused skills with clear triggers and explicit safety boundaries.

    line 4
  2. Very specific:

    Never remove attribution or license notices from third-party material.

    line 7
  3. Common:

    Do not execute external side effects such as publishing, deployment, destructive migration, or secret transmission without explicit user …

    line 8

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

Agent guidance for this repository

  • This repository is a library of portable Agent Skills. Canonical skill sources live in skills/<name>/SKILL.md.
  • Prefer small, focused skills with clear triggers and explicit safety boundaries.
  • Validate changes with python scripts/validate_skills.py.
  • The scripts use the Python standard library; do not add dependencies without a clear need.
  • Never remove attribution or license notices from third-party material. New AgentFieldkit content should be independently written.
  • Do not execute external side effects such as publishing, deployment, destructive migration, or secret transmission without explicit user authorization.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.