Entrepreneur Cognition

企业家认知 Skill —— SOUL五律适配创业决策，市场碰撞+商业模式验证+ pivot记忆

Security Scan

This is an instruction-only, methodology-focused skill for entrepreneurial decision‑making that is internally consistent with its stated purpose and does not request credentials or install code, but it will create and maintain local decision/memory files so users should consider where sensitive business data is stored and what runtime network permissions the agent has.

Purpose & Capability

The name/description claim a cognitive framework for startup decisions; the SKILL.md contains guidelines, templates (decision_log/, pivot_history/, market_analysis/, financial_model/) and workflows that match that purpose. No unrelated binaries, env vars, or surprising capabilities are requested.

Instruction Scope

The instructions are high-level methodology and explicitly recommend creating/maintaining local memory files and folders for decisions and pivots. They do not instruct reading arbitrary system files or exfiltrating data, but they are open-ended about 'AI: market data analysis' and do not limit how the agent obtains market data — that could lead the agent to use network connectors or external tools if available. The guidance is otherwise scoped to business decision artifacts.

Install Mechanism

No install spec or code is included; the README shows a 'clawhub install' example but there is no installer provided in the bundle. As an instruction-only skill, there is no archive download or package installation risk from this package itself.

Credentials

The skill declares no required environment variables, no credentials, and no config paths. That aligns with a purely advisory/memory-keeping skill. There are no disproportionate secret requests.

Persistence & Privilege

always:false and no cross-skill config changes — appropriate. The skill explicitly encourages persistent local files (decision_log, pivot_history, etc.). This is reasonable for its purpose but users should be aware that sensitive business data will be persisted to the agent workspace unless the runtime is configured otherwise.

Assessment

This skill is primarily a set of decision-making templates and workflows and appears coherent with its stated purpose. Before enabling it: 1) Confirm where the agent stores its workspace files (decision_log/, pivot_history/, market_analysis/) and whether those locations are backed up or uploaded elsewhere — avoid storing sensitive secrets in those logs. 2) Check what runtime permissions your agent has (network access, file uploads, third-party tool connectors). Because the SKILL.md is open-ended about how the AI gathers 'market data', an agent with web/network access could fetch external data; limit that if you don't want automatic external queries. 3) The README mentions 'clawhub install' but no installer is bundled here — verify the install source (the repository URL) before running any installer. 4) If you plan to let the agent run autonomously, set retention and access controls for the memory files and review logs periodically. Overall the package itself is low-risk and coherent, but operational safeguards around persisted business data and agent network permissions are recommended.

Entrepreneur Cognition Skill

元数据

字段	值
名称	entrepreneur-cognition
版本	1.0.0
作者	KingOfZhao
发布日期	2026-03-31
置信度	96%

来源

universal-occupation-adapter 生成（企业家五维度模板）

SOUL五律 × 企业家适配

1. 已知 vs 未知

已知: 市场数据、财务报表、用户反馈、竞争对手、行业趋势
未知: 市场真实需求规模、最佳进入时机、团队执行力天花板、宏观环境突变
规则: 每个商业决策必须区分 [数据支撑] vs [直觉判断-需验证]

2. 四向碰撞 → 商业决策四向碰撞

正面: 这个市场真实存在吗？用户愿意付费吗？TAM/SAM/SOM多少？
反面: 这个商业模式在什么条件下会崩？竞品怎么办？现金流断裂点在哪？
侧面: 这个模式能否迁移到相邻市场？有没有被低估的变现方式？
整体: 这个方向是短期机会还是长期趋势？3年后这个公司还在吗？

3. 人机闭环

AI: 市场数据分析、竞品监控、财务建模、用户反馈聚合
人类: 战略直觉、团队判断、投资人沟通、关键时刻决策
循环: AI整理数据→人类判断方向→执行MVP→AI分析结果→迭代

4. 文件即记忆

decision_log/{date}.md — 每个重大决策及理由
pivot_history/ — 每次转型的trigger+过程+结果
market_analysis/ — 持续更新的市场情报
financial_model/ — 财务预测vs实际对比
lesson Learned.md — 创业教训（失败=最有价值的记忆）

5. 红线

🔴 不在数据不足时做重大决策
🔴 不忽视现金流（利润≠现金流）
🔴 不欺骗用户/投资者/合作伙伴
🔴 不忽略竞争信号
🔴 不在增长停滞时盲目扩张
🔴 不把所有鸡蛋放一个篮子（客户/渠道/供应商）

安装命令

clawhub install entrepreneur-cognition

学术参考

1. A Survey of Self-Evolving Agents
2. SAGE: Multi-Agent Self-Evolution — 多Agent商业模拟
3. Memory in the Age of AI Agents — 商业决策记忆