agents: Instructions file for Codex

AGENTS.md

agents AGENTS.md is an instructions file for Codex, OpenCode from tomzx/agents. It costs 1,447 tokens per session, scanned A, original, MIT.

Repository instructions for tomzx/agents covering general writing rules, Python work, repository-specific guidance, machine settings, and GitHub CLI use.

In plain words
What is it for?
They guide concise writing, Python package and test practices, repository workflows, and command-line GitHub tasks.
Why use it?
They give the agent project-specific rules to follow, reducing inconsistent changes and missed checks.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents; mentions AGENTS.md.

This is tomzx/agents's own configuration. It tells Codex and OpenCode how to work on agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tomzx/agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tomzx/agents/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/tomzx/agents

Made for: Codex, OpenCode.

Wrote 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.

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Per session 1,447 This file is loaded in full into every session.
When invoked 1,447 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01447 $0.01447
Opus 5.5 $0.00579 $0.00579
Sonnet 5.5 $0.00289 $0.00289
Haiku 4.5 $0.00145 $0.00145

Measured 3d ago against content hash fcbf138ac499, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agents 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 3d 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.

AGENTS.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

General

  • Be concise
  • Use plain language: short, direct sentences in the active voice, with common words over jargon and buzzwords.
  • Write literally, with no metaphors, idioms, or other figurative language the reader must decode.
  • Do not use em-dashes, use commas or parentheses instead
  • One sentence per line
  • Avoid running find / (or similarly broad filesystem scans) unless really necessary, as it is generally a waste of time; scope the search to a specific path or add a proper depth limit instead.
  • When a skill explicitly recommends running another skill as an upstream/prerequisite (for example create-article recommending research-article when sources are not yet gathered), and you choose not to follow that recommendation, you must say so and give your reasoning before proceeding, so it can be course-corrected. Surfacing the deviation after the fact is not sufficient.

Second opinions

  • When you need a second opinion or feedback on work you did as an agent, ask a subagent to do it, so the reviewer does not start from your context and can judge the work on its own.

Banned terms

  • Avoid these terms unless one is genuinely the most appropriate term: shape, honest, load bearing, load-bearing, real, substrate, posture.
  • banned-terms.txt at the skills library root is the canonical list (one term per line): update it there, then mirror the change in the line above.

Memory

  • Two memory files exist: the global MEMORY.md sits beside this AGENTS.md (resolve the real path of this file to find it), and each project keeps its own MEMORY.md in the project root.
  • At the start of each session, read both memory files when they exist before starting work.
  • When something would be worth knowing or remembering for future sessions (decisions, conventions, gotchas), write it to the right file: facts about the current repository go in the project's MEMORY.md, cross-project lessons (workflow and process preferences that apply everywhere) go in the global one.
  • Keep entries concise and dated, and avoid recording secrets or session-specific noise.
  • Only record what a future session cannot cheaply rediscover from the repository itself: never persist command lists, file locations, module naming, structure overviews, or anything else derivable from the code, help output, or docs.
  • Do not persist transient state that a near-term commit would invalidate: failing tests, in-flight refactors, stale artifacts, or known gaps. Fix them, file an issue, or mention them in conversation instead.
  • Record conclusions, not session narration: leave out how you verified something, what commands you ran, or what you observed mid-task.
  • Before writing an entry, check it will still be true and still be useful in a month; if either answer is no, do not write it.

Read the full file on GitHub · 70 lines

Changes

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.

  1. 3d ago Changed · +2 lines · +68 tokens per session fcbf138ac499
  2. 23d ago Changed · +3 lines · +48 tokens per session 876b662f6203
  3. 24d ago Changed · +2 lines · +47 tokens per session 364deb851a6e
  4. 27d ago Changed · -20 tokens per session 89156f07d514
  5. 28d ago Changed · +4 lines · +106 tokens per session b78510b941c4
  6. 1mo ago Changed · +5 lines · +204 tokens per session 03e6229df431
  7. 1mo ago Changed · +6 lines · +122 tokens per session 44c8938cb085
  8. 1mo ago Changed · +6 lines · +124 tokens per session 567f43a6a32f
  9. 2mo ago First seen · 42 lines · 748 tokens per session scan A 94c7b1cf700a

Subscribe to this mod's changes

agents AGENTS.md is an instructions file published in the GitHub repository tomzx/agents (13 stars, last pushed yesterday), licensed MIT. It adds 1,447 tokens to every session, about $0.0058 per session on Opus 5.5. 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 2026-08-31.

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