agentleFS
AWSKnown publisherawslabs/llm-evaluation-system/AGENTS.md

llm-evaluation-system

AGENTS.md26 starsChanged 5 months agoApache-2.0View on GitHub

Agent-facing conventions for this repo live in CLAUDE.md — read it first regardless of which agent or tool you are. This file is a pointer kept here so tools that follow the agents.md convention (Codex, Cursor, others) land in the same place Claude Code does. For the full system architecture and diagrams, see ARCHITECTURE.md.

The file

Files
AGENTS.md

AGENTS.md

Agent-facing conventions for this repo live in CLAUDE.md — read it first regardless of which agent or tool you are. This file is a pointer kept here so tools that follow the agents.md convention (Codex, Cursor, others) land in the same place Claude Code does.

For the full system architecture and diagrams, see ARCHITECTURE.md.

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.