ai-prompt AGENTS.md

ai-prompt AGENTS.md is an instructions file for Codex, OpenCode from microwind/ai-prompt. It costs 658 tokens per session, scanned A, original, MIT.

A repository guide for a Markdown-based prompt-engineering project. It explains the folder layout, writing conventions, and available checks.

In plain words
What is it for?
Use it when adding or updating guides, examples, playbooks, or reference files, and when checking Markdown changes before pushing.
Why use it?
It gives coding agents a shared set of project rules, so changes are placed and formatted consistently.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/microwind/ai-prompt/agents-md
Clone the repo
git clone --depth 1 https://github.com/microwind/ai-prompt

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.

agentmods badge for ai-prompt AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/microwind/ai-prompt/agents-md.svg)](https://agentmods.dev/instructions/microwind/ai-prompt/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/microwind/ai-prompt/agents-md"><img src="https://agentmods.dev/badge/instructions/microwind/ai-prompt/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 658 This file is loaded in full into every session.
When invoked 658 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00658 $0.00658
Opus 5 $0.00329 $0.00329
Sonnet 5 $0.00132 $0.00132
Haiku 4.5 $0.00066 $0.00066

Measured 4d ago against content hash 1a675d782b1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-prompt 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.

AGENTS.md · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

  • Core guides live in README.md, README_EN.md, docs/articles/programmer_prompt_engineering_guide.md, and docs/articles/developer_prompt_engineering_guide.md.
  • Fourteen task playbooks sit in 01-Requirement-Clarification14-Documentation-Generation, each with a README.md (and occasional checklists/examples). Keep new task folders numbered with two digits and kebab-case names.
  • Scenario libraries: Prompt-Examples/ holds domain examples (content, system design, data, code); Prompt-Frameworks/ stores framework cheat-sheets (CRISPE, RTF, etc.).
  • Quick navigation lives in QUICK-REFERENCE.md and 项目完整导航.md; archive stale material under _ARCHIVE/ rather than deleting.

Build, Test, and Development Commands

  • No build toolchain is required; the repo is Markdown-first.
  • Recommended checks before pushing:
    • git status to confirm only intended files change.
    • rg "TODO|🔄" to catch unfinished placeholders.
    • Optional: npx markdownlint "**/*.md" if you have markdownlint globally; align with default rules (no custom config yet).

Coding Style & Naming Conventions

  • Write in concise Markdown; start each file with a single # title that matches the page purpose (bilingual titles are welcome, e.g., T01: Requirement Clarification(需求澄清)).
  • Prefer short paragraphs, ordered lists for steps, and tables/checklists for prompts. Use fenced code blocks with language tags for prompts or command samples.
  • File/dir names: lowercase kebab-case; keep numeric prefixes for task folders and sequential examples (e.g., 01-Content-Generation/01-Entertainment/03-tv-series-summary.md).
  • Emojis ✅/🔄 are used to signal status in catalogs; keep that convention when adding new entries.

Testing Guidelines

  • There is no automated test suite; perform manual checks: preview Markdown, verify internal links, and ensure code blocks or prompts render correctly in common viewers (GitHub, mdbook style).
  • For new prompts, run them once against your target model to confirm the instruction flow and expected outputs; capture a minimal example if helpful.

Read the full file on GitHub · 34 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. 4d ago First seen · 34 lines · 658 tokens per session scan A 1a675d782b1e

Subscribe to this mod's changes

ai-prompt AGENTS.md is an instructions file published in the GitHub repository microwind/ai-prompt (52 stars, last pushed 4mo ago), licensed MIT. It adds 658 tokens to every session, about $0.0033 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 2026-08-30.

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