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.
npx agentmods add rules/double-coding-lab/flow2spec/f2s-config-checkgit clone --depth 1 https://github.com/double-coding-lab/Flow2SpecWhat 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 | $0.01079 | $0.01079 |
| Opus 5 | $0.00540 | $0.00540 |
| Sonnet 5 | $0.00216 | $0.00216 |
| Haiku 4.5 | $0.00108 | $0.00108 |
Grade A, and why
f2s-config-check 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
任务路径：凡
.task/落盘与续作，**必须以rules/f2s-task解析的TASK_ROOT为准（.task或.task/<developerId>；config → git → legacy）。下文若仍出现.task/todo.json/.task/active/，均视为TASK_ROOT/...的简写。
f2s 技能前置强制步骤
执行任何 f2s-* 技能的第一个动作，必须用 Read 工具读取项目根 flow2spec.config.json，获取 subAgent 与 switchAgentVerification 的实际值，再决定后续编排方式。
必须执行：Read("flow2spec.config.json") ← 技能正文任何步骤之前
| 读取结果 | 行为 |
|---|---|
subAgent: true |
先显式判断当前技能是否满足拆子前提 / 规模阈值；满足时按技能 SKILL.md 的 B/C 模式派子 agent，并在回复或执行记录中写明「本次是否拆子、拆给谁、为什么」；不满足时主 agent 继续完成，但也必须输出不拆原因 |
subAgent: false |
全部在主 agent 内完成，不得拆子 agent |
switchAgentVerification: true |
子 agent 落盘的由主 agent 校验；主 agent 落盘的由子 agent 校验（须 subAgent=true 且已拆子任务） |
switchAgentVerification: false |
落盘侧自验，不交叉 |
| 文件不存在 | 所有字段均视为 false |
Claude Code：f2s-config-session 在 SessionStart 注入一次配置摘要；f2s-config-inject 在 PreToolUse 仅作为守门提示，提醒调用 f2s-* Skill 前首步必须 Read("flow2spec.config.json")。两者都不替代本条 Read 要求。
Cursor：配置读取仍走文本约束（本规则 alwaysApply），不依赖 hook 自动读取配置。
Codex：SessionStart 会注入一次配置摘要；进入 f2s-* Skill 正文前仍必须 Read("flow2spec.config.json")，且当 subAgent=true 时，主 agent 必须先显式判断当前技能是否满足拆子前提 / 阈值，再决定是否派子；即使判断不拆，也必须输出不拆原因。Codex 没有 Claude 的 PreToolUse Skill 守门，不能把“拆子判断”留给隐式心证。
changeTracking（变更追踪）
| 字段 | 生效技能 | 行为 |
|---|---|---|
changeTracking.feat: true |
f2s-kb-feat |
步骤 0 必须执行：创建或续作 .task/active/ 变更追踪任务 |
changeTracking.feat: false |
f2s-kb-feat |
步骤 0 跳过，不创建 .task/ 目录 |
changeTracking.fix: true |
f2s-kb-fix |
步骤 0 必须执行：创建或续作 .task/active/ 变更追踪任务 |
changeTracking.fix: false |
f2s-kb-fix |
步骤 0 跳过，不创建 .task/ 目录 |
changeTracking.implement: true |
f2s-implement-tech-design |
步骤 2.5 写入任务清单、步骤 2.6 随实现同步打钩 task.md、步骤 5 满足归档门禁后归档 |
changeTracking.implement: false |
f2s-implement-tech-design |
步骤 2.5、2.6 和步骤 5 的变更追踪部分跳过 |
intentRecognition（意图识别）
| 字段 | 行为 |
|---|---|
intentRecognition: true |
启用意图识别：高置信操作意图按 rules/f2s-intent-routing.* 自动进入对应 Skill；讨论 / 评估 / 低置信输入不得自动调用 |
intentRecognition: false |
不启用自动分流；仅显式 $f2s-* / 明确要求执行某技能时进入对应 Skill |
| 字段不存在 | 视为 false |
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.
- 2d ago First seen · 51 lines · 1,079 tokens per session scan A a8b59b2501e8
f2s-config-check is a cursor rule published in the GitHub repository double-coding-lab/Flow2Spec (47 stars, last pushed 4d ago), licensed MIT. It adds 1,079 tokens to every session, about $0.0054 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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angular-20
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typescript
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coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.