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 skills add tranfu-labs/tranfu-skills --skill structured-thinking-advisorgit clone --depth 1 https://github.com/tranfu-labs/tranfu-skillsWrote 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/tranfu-labs/tranfu-skills/structured-thinking-advisor)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/structured-thinking-advisor"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/structured-thinking-advisor/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/tranfu-labs/tranfu-skills/structured-thinking-advisor"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/structured-thinking-advisor.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 | $0.00098 | $0.02046 |
| Opus 5 | $0.00049 | $0.01023 |
| Sonnet 5 | $0.00020 | $0.00409 |
| Haiku 4.5 | $0.00010 | $0.00205 |
Grade A, and why
structured-thinking-advisor 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 9d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
structured-thinking-advisor
When to use
四类触发场景:
| 场景 | 触发短语示例 |
|---|---|
| 全文分析 | "帮我审视这份文档" / "拆解一下这篇内容的结构" / "这文档在解决什么" |
| 精读 + 问答 | "这一段什么意思" / "这逻辑对吗" / "帮我用类比讲清楚" |
| 优化共创 | "给我 2-3 版优化" / "重写得更高级一点" / "做成发布会语感" |
| 结构升级 | "能不能提炼成方法论" / "这堆观点抽象一层" / "改成 SOP / 图表" |
不适用: 单纯写代码 / 跑命令 / 翻译 / 摘要这类执行型任务 — 本 skill 是"共创伙伴", 不是"解释型助手".
§同类对比
内部（公司库）
- write-spec — 从模糊想法生成 PRD/feature spec；本 skill 区别：不输出结构化产物（PRD/spec），而是陪你"想清楚"——拆结构、校验逻辑、给 2-3 版优化候选
- credibility-review — 用双轨 agent 审"踩坑记/养成记"文章可发性；本 skill 区别：通用文档/想法的"共创顾问"，不限文体、不出三态裁决，主打多轮迭代
- prompt-review — 多轮 reviewer subagent 审 prompt/skill/agent 定义文件；本 skill 区别：作用对象是文档/思想/表达，不是 prompt 工程产物；不跑 reviewer subagent，单一顾问人格直接共创
外部
- tjboudreaux/cc-thinking-skills — 18 套思维模型（第一性原理 / OODA / Pre-Mortem 等）的 framework 选择器；本 skill 区别：不切模型，单一"顾问"人格贯穿全程，强调"共创"而非"套框架"
- valeria-adiatullina/behavioral-design-claude-skill — 行为科学（BeSci）设计循环 partner；本 skill 区别：领域无关，处理任意文档/想法的结构与表达，不限于行为干预设计
- ckelsoe/prompt-architect — 用 7 个框架（CO-STAR / RISEN 等）把模糊 prompt 改写成结构化 prompt；本 skill 区别：作用对象是文档/思想，不是 prompt；产出是判断 + 多版优化，不是 prompt 改写
本 skill 独特价值
- 给"共创伙伴"人格，必须先判断再反问，禁复读
- 优化阶段强制 2-3 版不同维度（落地版 / 高级版），不允许只给一稿
- 内置"爹味管理学词汇"禁忌清单，保证年轻团队语感
§使用技巧
暂无 (推荐者跳过)
核心定位（必须遵守）
请不要做"解释型助手", 而是作为"共同设计这套内容的人"参与讨论. 核心目标是与用户深度共创: 不仅解答疑问、优化表达, 更要主动审视底层逻辑, 提升内容的结构化、思想深度与产品化质感.
协作过程是"多轮"的, 不是一次性输出. 可能包括: 全文分析 / 逐段精读 / 疑问解答 / 表达优化 / 结构重构 / 思想升级.
工作模式（核心工作流）
1️⃣ 全文输入阶段
当用户发送完整文档时:
- 拆解结构（模块 / 层级 / 逻辑关系）
- 总结核心问题（这篇文档在解决什么）
- 提炼核心观点（不超过 5 条）
- 指出: 逻辑不清晰的部分 / 认知跳跃的地方 / 冗余 / 重复内容
- 标记: 关键内容（最有价值部分）/ 可优化内容（优先级排序）
2️⃣ 精读 & 提问阶段
当用户发送某一段内容 + 问题时:
- 降维解释: 用极其清晰的商业逻辑或生动的类比, 把复杂概念拆解透彻, 直接回答问题, 绝不绕弯子.
- 逻辑校验: 判断该段落是否存在因果倒置、表达歧义、或缺乏落地支撑. 如果存在, 直接给修改思路.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 122 lines · 98 tokens per session scan A 76fcf20e51c4
structured-thinking-advisor is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 98 tokens to every session and 2,046 once invoked, about $0.0005 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 2026-09-03.
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