agentleFS
ufukyuksel-devufukyuksel-dev/SUPER_COMPUTER_AI/AGENTS.md

SUPER_COMPUTER_AI

AGENTS.md0 starsChanged 47 days agoMITView on GitHub

This repository is the single home for AI agent skills, agent roles, instructions and MCP servers used with Claude Code and Codex. CLAUDE.md imports this file; do not duplicate rules there. Names are kebab-case. Skill names are globally unique regardless of category. - Never commit secrets, tokens, API keys, .env files, account/customer IDs, e-mail addresses, browser profiles, or machine-specific absolute paths (/Users/..., /home/...). - Credentials live in ~/.config/super-computer-ai/credentials/<server>/ (dir 0700, files 0600). Sensitive project values live in ~/.config/super-computer-ai/private/. Commit only…

  • Reads credentials

The file

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

4 rules. About 0 are common, 1 is distinctive, and 3 are 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.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  • could be automatic: a setting could enforce it
  1. Very specific:

    Never commit secrets, tokens, API keys, .env files, account/customer IDs, e-mail addresses, browser profiles, or machine-specific absolute …

    line 21
  2. Very specific:

    Run python3 scripts/validate.py and python3 scripts/skills/validate_skills.py before every commit.

    line 27
  3. Very specific:

    Never hand-edit ~/.claude, ~/.codex or ~/.agents.

    line 32
  4. Distinctive:

    Do not initialize, commit, push or rewrite Git history without explicit human approval.

    line 40

≈ “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

SUPER_COMPUTER_AI — Working Rules

This repository is the single home for AI agent skills, agent roles, instructions and MCP servers used with Claude Code and Codex. CLAUDE.md imports this file; do not duplicate rules there.

Where things go

You are addingPut it inAlso update
A skillskills/<category>/<skill-name>/SKILL.md (+ references/, agents/openai.yaml)skills/manifest.json
An agent roleagents/claude/<role>.md and agents/codex/<role>.tomlagents/README.md
An instructioninstructions/global/ (all sessions), instructions/pipeline/, or instructions/projects/—
An MCP server (our code)mcp/servers/<name>/ with its own README, .env.example, tests and lockfilemcp/registry.json
A hosted MCP (not our code)mcp/remote/<name>/ (README + auth helper if needed)mcp/registry.json
A helper tooltools/<name>/—

Names are kebab-case. Skill names are globally unique regardless of category.

Public-repo rules (non-negotiable)

  • Never commit secrets, tokens, API keys, .env files, account/customer IDs, e-mail addresses, browser profiles, or machine-specific absolute paths (/Users/..., /home/...).
  • Credentials live in ~/.config/super-computer-ai/credentials/<server>/ (dir 0700, files 0600). Sensitive project values live in ~/.config/super-computer-ai/private/. Commit only variable names and .env.example files.
  • Migrations from other repositories copy only files on an explicit, reviewed allowlist.
  • Run python3 scripts/validate.py and python3 scripts/skills/validate_skills.py before every commit; CI runs both plus a gitleaks scan.

Installing into Claude Code / Codex

Never hand-edit ~/.claude, ~/.codex or ~/.agents. The installer (scripts/install.py, see docs/installing.md) links skills and roles and writes the managed instruction block. Projects outside this repo's scope (e.g. AI_ORCHESTRATION) are never touched by the installer.

Working agreements

  • Plans and design decisions are written to files; implementation follows an approved plan.
  • Coder and reviewer roles are assigned per task by the human; the coder sends changes for peer review.
  • Do not initialize, commit, push or rewrite Git history without explicit human approval.
  • Evidence before assertions: run the deliverable, record the command and result, mark anything not exercised as UNVERIFIED.

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.