agentleFS
cmdr-characmdr-chara/codex-toolkit/evaluations/AGENTS.md

codex-toolkit / evaluations

AGENTS.md2 starsChanged 11 days agoMITView on GitHub

Use README.md for the evaluation format and existing scenarios. Record real limitations rather than filling missing runtime evidence with a plausible narrative.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

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

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    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
  1. Distinctive:

    Keep expected routing, workflow scenarios, adversarial cases, and observed results distinct.

    line 3
  2. Distinctive:

    Do not delete hard cases or change expected outcomes solely to match the implementation under test.

    line 5
  3. Distinctive:

    Keep time-sensitive claims tied to inspected primary sources and an honest review date.

    line 7
  4. Distinctive:

    Use README.md for the evaluation format and existing scenarios.

    line 9

≈ “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

Evaluation evidence contracts

  • Keep expected routing, workflow scenarios, adversarial cases, and observed results distinct. A written expected answer is not a completed evaluation.
  • Trigger changes need relevant positive, negative, and overlap cases; preserve specialist ownership, approval, and stop boundaries in the expected behavior.
  • Do not delete hard cases or change expected outcomes solely to match the implementation under test.
  • Attribute observations to the actual candidate, environment, and invocation. Static validators and smoke fixtures do not certify live model routing or every platform.
  • Keep time-sensitive claims tied to inspected primary sources and an honest review date; do not refresh dates without rechecking the claim.

Use README.md for the evaluation format and existing scenarios. Record real limitations rather than filling missing runtime evidence with a plausible narrative.

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.