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.
curl -O https://raw.githubusercontent.com/tomzx/agents/main/AGENTS.mdgit clone --depth 1 https://github.com/tomzx/agentsWrote 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/tomzx/agents/agents-md)<a href="https://agentmods.dev/instructions/tomzx/agents/agents-md"><img src="https://agentmods.dev/badge/instructions/tomzx/agents/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/tomzx/agents/agents-md"><img src="https://agentmods.dev/badge/instructions/tomzx/agents/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01447 | $0.01447 |
| Opus 5.5 | $0.00579 | $0.00579 |
| Sonnet 5.5 | $0.00289 | $0.00289 |
| Haiku 4.5 | $0.00145 | $0.00145 |
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.
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.txtat 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.
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.
- 3d ago Changed · +2 lines · +68 tokens per session fcbf138ac499
- 23d ago Changed · +3 lines · +48 tokens per session 876b662f6203
- 24d ago Changed · +2 lines · +47 tokens per session 364deb851a6e
- 27d ago Changed · -20 tokens per session 89156f07d514
- 28d ago Changed · +4 lines · +106 tokens per session b78510b941c4
- 1mo ago Changed · +5 lines · +204 tokens per session 03e6229df431
- 1mo ago Changed · +6 lines · +122 tokens per session 44c8938cb085
- 1mo ago Changed · +6 lines · +124 tokens per session 567f43a6a32f
- 2mo ago First seen · 42 lines · 748 tokens per session scan A 94c7b1cf700a
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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.