ai-coding-ok

A three-layer memory routine for AI coding agents that stores project facts, past decisions, and recent task context.

In plain words
What is it for?
It is for reading project guidance before work, then recording task summaries and updates to project facts or technical decisions afterward.
Why use it?
It prevents the agent from starting without the project’s rules and from losing important context between tasks.

Cursor rule for Cursor

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 rules/mark7766/ai-coding-ok/ai-coding-ok
Clone the repo
git clone --depth 1 https://github.com/Mark7766/ai-coding-ok

Made for: Cursor.

Per session 332 This file is loaded in full into every session.
When invoked 332 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 $0.00332 $0.00332
Opus 5 $0.00166 $0.00166
Sonnet 5 $0.00066 $0.00066
Haiku 4.5 $0.00033 $0.00033

Measured 2d ago against content hash c4b1578f75aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

.cursor/rules/ai-coding-ok.mdc · 24 lines

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)

  1. 读取 AGENTS.md — 了解架构速查和项目约束
  2. 读取 .github/agent/memory/project-memory.md — 了解项目事实和架构约束
  3. 读取 .github/agent/memory/decisions-log.md — 了解历史技术决策
  4. 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)

  1. 更新 .github/agent/memory/task-history.md — 记录本次任务摘要
  2. 如有架构决策变化 → 更新 .github/agent/memory/decisions-log.md
  3. 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。

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. 2d ago First seen · 24 lines · 332 tokens per session scan A c4b1578f75aa

Subscribe to this mod's changes

ai-coding-ok is a cursor rule published in the GitHub repository Mark7766/ai-coding-ok (15 stars, last pushed 1mo ago), licensed MIT. It adds 332 tokens to every session, about $0.0017 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.