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.
git clone --depth 1 https://github.com/Mark7766/ai-coding-okWrote 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/rules/mark7766/ai-coding-ok/ai-coding-ok)<a href="https://agentmods.dev/rules/mark7766/ai-coding-ok/ai-coding-ok"><img src="https://agentmods.dev/badge/rules/mark7766/ai-coding-ok/ai-coding-ok/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/rules/mark7766/ai-coding-ok/ai-coding-ok"><img src="https://agentmods.dev/badge/rules/mark7766/ai-coding-ok/ai-coding-ok.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 | $0.00332 | $0.00332 |
| Opus 5.5 | $0.00133 | $0.00133 |
| Sonnet 5.5 | $0.00066 | $0.00066 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
ai-coding-ok 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 2mo 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.
What it actually says
⚠️ AI Agent 必读规范（每次任务必须执行）
本项目使用 ai-coding-ok 三层记忆系统。在执行任何任务之前，必须完成以下步骤：
Plan 阶段（强制，任务开始前）
- 读取
AGENTS.md— 了解架构速查和项目约束 - 读取
.github/agent/memory/project-memory.md— 了解项目事实和架构约束 - 读取
.github/agent/memory/decisions-log.md— 了解历史技术决策 - 读取
.github/agent/memory/task-history.md— 了解近期任务上下文
Act 阶段（强制，任务结束后）
- 更新
.github/agent/memory/task-history.md— 记录本次任务摘要 - 如有架构决策变化 → 更新
.github/agent/memory/decisions-log.md - 如有项目事实变化 → 更新
.github/agent/memory/project-memory.md
⛔ 以上步骤不可跳过。若在使用 brainstorming / writing-plans 等工具，在调用这些工具之前先完成 Plan 阶段，结束后完成 Act 阶段。
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.
- 2mo ago First seen · 24 lines · 332 tokens per session scan A c4b1578f75aa
ai-coding-ok is a cursor rule published in the GitHub repository Mark7766/ai-coding-ok (17 stars, last pushed 3mo ago), licensed MIT. It adds 332 tokens to every session, about $0.0013 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 2026-08-30.
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