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 business-analysis-pipelinegit 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/business-analysis-pipeline)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/business-analysis-pipeline"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/business-analysis-pipeline/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/business-analysis-pipeline"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/business-analysis-pipeline.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 | $0.00108 | $0.03803 |
| Opus 5 | $0.00054 | $0.01902 |
| Sonnet 5 | $0.00022 | $0.00761 |
| Haiku 4.5 | $0.00011 | $0.00380 |
Grade A, and why
business-analysis-pipeline 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 12d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
business-analysis-pipeline
When to use
当用户想对一个 AI 产品概念 / 创业方向 / 投资标的做系统化商业评估时触发. 典型触发短语:
- "评估这个 AI 产品的商业可行性: <描述>"
- "帮我跑一份商业分析报告"
- "出一份 AI 创业方向评估"
- "投资尽调一下这个项目"
- "我有几个产品想法, 横向对比一下哪个值得做"
不适用: 已上线产品的运营复盘 / 单纯做市场调研 / 只要财务建模 — 本 skill 是前期方向评估的方法论 pipeline, 不是落地 SOP 也不是财务模型.
§同类对比
内部（公司库）
- project-scoring — "评估这个 AI 项目"产出决策 memo；本 skill 区别：走 7 步固定 pipeline (PEST/五力/SWOT/BMC/机会矩阵/战略/摘要), 120 分制五级评级, KF 编号强制交叉引用; project-scoring 偏轻量 memo, 不强制模块化
- write-spec — 从模糊想法生成 PRD/feature spec；本 skill 区别：产出是商业可行性报告 (面向决策 / 投资), 不是功能规划 spec (面向研发)
- credibility-review — 用双轨 agent 审"踩坑记/养成记"文章可发性；本 skill 区别：作用对象是产品/项目概念, 不是文章
外部
- 暂无 (未在 GitHub / Anthropic marketplace 找到同类"商业分析 pipeline" claude-skill; 验活方式: gh api 搜 claude-skill topic + 商业关键词, 0 命中)
本 skill 独特价值
- 7 步固定 pipeline + KF 编号交叉引用, 强制下游引用上游发现
- 120 分制五级评级 (S/A/B/C/D), 给明确决策信号不模棱两可
- 每模块限 2-3 个最关键要点, 砍掉常见 PEST/SWOT 的清单堆砌
§使用技巧
暂无 (推荐者跳过)
Steps (核心工作流)
Step 1：PEST 宏观环境分析
角色： 专业商业分析师 任务： 对用户提供的 AI 产品进行 PEST 宏观环境分析
四个维度：
- P（政治与监管）：AI 监管政策、行业准入、政策支持、国际合规
- E（经济）：市场规模 TAM/SAM/SOM、客户支付意愿、AI 成本趋势、融资环境
- S（社会与文化）：用户 AI 认知与接受度、隐私态度、工作方式变迁
- T（技术）：基础模型能力、技术成熟度、开源 vs 闭源、基础设施成熟度
每个维度评"有利度"（1-5 分），只聚焦与该产品最相关的 2-3 个要点。
输出格式：
- PEST 评分总览表（维度 | 评分 | 核心判断）
- 每个维度简要分析（每维度 3-5 句话，聚焦对该产品的具体影响）
- 3 个关键发现，编号 P-KF-1 到 P-KF-3
- 一句话综合结论
使用 🟢🟡🔴 标记。全部中文。 严格限制：只输出分析内容，不要提议后续步骤或额外产出物。
Step 2：波特五力竞争分析
角色： 专业商业分析师 任务： 对用户提供的 AI 产品进行波特五力竞争分析 依赖： 引用已完成的 PEST 关键发现（P-KF 编号）来支撑分析
五力维度（各评 1-10 分威胁度）：
- 现有竞争者强度：直接竞品、大厂布局、差异化程度
- 新进入者威胁：数据壁垒、技术壁垒、资金壁垒
- 替代品威胁：传统方案、通用 AI 助手、开源方案
- 买方议价能力：客户集中度、切换成本、价格敏感度
- 供应商议价能力：模型供应商集中度、算力资源、人才稀缺度
每个力量只分析最关键的 1-2 个因素。
输出格式：
- 五力评分总览表（力量 | 威胁评分 | 核心判断 | 应对思路）
- 主要竞品对比表（3-5 个竞品，产品 | 差异化 | 威胁等级）
- 3 个关键发现，编号 F-KF-1 到 F-KF-3
- 竞争格局一句话结论
使用 🟢🟡🔴 标记。全部中文。 严格限制：只输出分析内容，不要提议后续步骤或额外产出物。
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.
- 12d ago First seen · 257 lines · 108 tokens per session scan A 363e60164c1e
business-analysis-pipeline is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 108 tokens to every session and 3,803 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 2026-08-31.
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