agentleFS
aptitude-stackaptitude-stack/registery/AGENTS.md

registery

AGENTS.md1 starsChanged 8 months agoMITView on GitHub

  • Reads credentials

The file

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

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    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. Very specific:

    Do not inspect local .env files unless the user explicitly asks.

    line 2
  2. Distinctive:

    When executing an attached plan, do not edit the plan file.

    line 3

≈ “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

Learned User Preferences

  • Do not inspect local .env files unless the user explicitly asks; use example files, docs, or ask the user to confirm values instead.
  • When executing an attached plan, do not edit the plan file; use existing todos when provided, mark progress as work begins, and continue through the listed todos.

Learned Workspace Facts

  • Observability should stay dormant by default unless explicitly reactivated; avoid reintroducing local Grafana/Prometheus/Loki or enabling OTEL/Grafana Cloud automatically.
  • The root/status page should avoid healthz/readyz endpoint labels and duplicate DB rows; readiness already covers DB, and the public spec button copy should be openAPI.

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.