Borrowing it
Nothing to install: this file belongs to double-coding-lab/Flow2Spec. 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/double-coding-lab/Flow2Spec/main/.claude/skills/f2s-kb-distill/SKILL.mdgit clone --depth 1 https://github.com/double-coding-lab/Flow2SpecWrote 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/skills/double-coding-lab/flow2spec/f2s-kb-distill)<a href="https://agentmods.dev/skills/double-coding-lab/flow2spec/f2s-kb-distill"><img src="https://agentmods.dev/badge/skills/double-coding-lab/flow2spec/f2s-kb-distill/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/skills/double-coding-lab/flow2spec/f2s-kb-distill"><img src="https://agentmods.dev/badge/skills/double-coding-lab/flow2spec/f2s-kb-distill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 161 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
- medium Excessive Agency · line 181 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00067 | $0.06051 |
| Opus 5.5 | $0.00027 | $0.02420 |
| Sonnet 5.5 | $0.00013 | $0.01210 |
| Haiku 4.5 | $0.00007 | $0.00605 |
Grade A, and why
f2s-kb-distill 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 1mo 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 — 390 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。
执行口径：本技能只维护
.Knowledge，默认不改配置根rules/skills。
KB 自动合并协议（必须）
本技能不得把“人工执行命令”作为用户流程。用户触发本技能后，由 agent 自己完成知识候选生成、合并、构建与校验：
- 若本轮存在可沉淀知识，先在当前任务上下文中形成
kb-delta草稿，记录taskId、developerId、baseRevisions、changes与证据摘要；没有显式任务目录时可在内存中形成等价对象，不强制为了本技能创建.task。changes可使用appendBody/replaceBody/updateFrontmatter；确需新主题时使用createTopic，并可携带taskRule与matcher让路由一并接入。 - 写入
.Knowledge前，必须用flow2spec kb plan <delta>或等价内部能力预演；若 topic revision 不一致，停止自动写入，转入语义合并说明。 - 可自动合并时，由 agent 调用
flow2spec kb apply <delta>或等价内部能力写入 topic，并随后执行flow2spec kb build与flow2spec kb check。 - 用户只看到“知识库已同步 / 有语义冲突需确认 / 已跳过入库及原因”，不要求用户手动执行
kb plan/apply/build/check。
编排（主 / 子 agent）
subAgent/switchAgentVerification两字段语义以统一入口为唯一事实源：Cursor/Claude 读配置根rules/f2s-flow2spec-unified-entry.*；Codex 读.codex/topics/f2s-flow2spec-unified-entry.md（与上同源，flow2spec init镜像）。- 本技能默认不拆子：问答知识提取是单轮聚焦任务，由主 agent 全流程完成效率更高。
- 写权硬约束：
manifest-routing.json与.Knowledge/index.md恒由主 agent 单点落盘。 - 校验：落盘侧自验。
f2s-kb-distill：问答驱动的知识提取与入库
使用时机
- 用户提问 → agent 下钻源码回答 → 需要将发现的知识沉淀到 KB
- 通常由
f2s-kb-feedback-closing规则自动建议，也可用户主动调用 - 与
f2s-kb-sync区分：sync适合批量同步多个能力；distill专注单次问答的知识提取
输入
| 参数 | 必填 | 说明 |
|---|---|---|
| 用户问题 | 自动获取 | 上一轮用户的提问（自动从对话历史提取） |
| agent 回答 | 自动获取 | 上一轮 agent 的回答内容（自动从对话历史提取） |
| 命中主题 | 可选 | 如由 f2s-kb-feedback-closing 触发，会携带命中的 topicId |
| 下钻文件 | 自动分析 | 从回答中提取引用的文件/函数（自动分析） |
无有效问答上下文时中止并提示用户。
执行挡位（轻量 / 严格，agent 自动判）
f2s-kb-distill 只有一个入口（无 --fast 参数），进入流程第一件事是判挡：
判挡依据（4 个维度，全满足才走轻量挡）
| 维度 | 取值方式 | 走「轻量挡」的条件 |
|---|---|---|
上游 f2s-kb-feedback-closing case |
看本轮 / 上一轮 agent 回答末尾的收口块 | case 2 或 case 3（case 1 / 无收口 → 严格挡） |
| 本轮 Read 业务源码文件数 | agent 回顾本轮自己的工具调用 | ≤ 3 个 |
| 本轮回答引用的函数 / 类名数 | 数回答里反引号包裹的 xxx() / 类名 |
≤ 5 个 |
| 用户追问是否否定上游结论 | 看用户最新输入是否含"不对 / 重新分析 / 那条不准"等 | 否 |
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.
- 1mo ago Changed · +2 lines ace8160be374
- 1mo ago First seen · 388 lines · 67 tokens per session scan A 3e1d4c8f8eae
f2s-kb-distill is a skill published in the GitHub repository double-coding-lab/Flow2Spec (52 stars, last pushed 6d ago), licensed MIT. It adds 67 tokens to every session and 6,051 once invoked, about $0.0003 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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