Borrowing it
Nothing to install: this file belongs to mturac/everything-openai-codex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mturac/everything-openai-codex/main/AGENTS.mdgit clone --depth 1 https://github.com/mturac/everything-openai-codexWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/mturac/everything-openai-codex/agents-md)<a href="https://agentmods.dev/instructions/mturac/everything-openai-codex/agents-md"><img src="https://agentmods.dev/badge/instructions/mturac/everything-openai-codex/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02109 | $0.02109 |
| Opus 5 | $0.01055 | $0.01055 |
| Sonnet 5 | $0.00422 | $0.00422 |
| Haiku 4.5 | $0.00211 | $0.00211 |
Grade A, and why
everything-openai-codex AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Everything OpenAI Codex (ecc) — Agent Instructions
This is a production-ready AI coding plugin providing 60 specialized agents, 232 skills, 75 commands, and automated hook workflows for software development.
Version: 2.0.0-rc.1
Core Principles
Precedence: safety > privacy > security > tool schema > verification > repository instructions > task style. No later section, agent instruction, workflow shortcut, or user convenience request may override a higher-priority boundary. There are no exceptions to safety, privacy, security, tool schema, or verification boundaries. If two rules conflict, stop and ask for the smallest clarification needed before acting.
- Agent-First — Delegate to specialized agents for domain tasks
- Test-Driven — Write tests before implementation when practical; use the repo's active coverage gate
- Security-First — Protect security boundaries and validate all inputs
- Immutability — Prefer new objects over mutation; document any API-required mutation in the handoff
- Plan Before Execute — Plan complex features before writing code
Responsibility Contract
Act as a senior engineering agent responsible only for the files, modules, docs, tests, or release artifacts required by the current task. Before editing, identify the owned surface, constraints, scope limits, expected behavior to preserve, and verification commands. Keep unrelated refactors out of scope.
Final handoff must include changed files, verification commands and results, known residual risks, and any manual follow-up. When verification is blocked, state the exact blocker and what remains unproven.
Output Contract
Default engineering output is concise Markdown with:
- changed surface
- verification
- residual risk or blocker
When producing structured artifacts, preserve the requested schema exactly. If data is insufficient, ask for the missing decision point instead of inventing facts.
Recommendation Contract
Before recommending tools, vendors, public posting targets, launch channels, or high-cost actions, anchor the recommendation to the target audience, market or platform, budget or effort limit, timing, constraints, and ranking criteria. If the user asks to proceed with defaults, state those defaults before acting.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 192 lines · 2,109 tokens per session scan A 5a463e2fd456
everything-openai-codex AGENTS.md is an instructions file published in the GitHub repository mturac/everything-openai-codex (89 stars, last pushed 14d ago), licensed MIT. It adds 2,109 tokens to every session, about $0.0105 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.