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Fuxi Skill

作者 yewubin-jpg · GitHub ↗ · v0.1.0 · MIT-0
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在 OpenClaw 中安装
/install fuxi-skill
功能描述
伏羲.skill - 专家级认知操作系统生成器。 用于自动化生成特定人物的「正面专家级认知操作系统」Skill。 当用户要求「提炼一个XXX的精华」「帮我创建一个XXX的商业版Skill」「蒸馏XXX的最优一面」时触发。 通过网络调研(主)与用户素材(辅),采用「六爻画卦」方法论, 过滤负面噪音,将人物的最优精华...
使用说明 (SKILL.md)

伏羲.skill (Fuxi Skill)

「仰观象于天,俯观法于地。去伪存真,提炼精华。」

伏羲.skill 是一个元级 Skill(Meta-Skill),核心使命是**「提炼精华,塑造最优认知」**。它通过过滤网络上的负面噪音和不实攻击,将一个人物最闪光、最有价值的思想提炼为结构化的专家级认知操作系统,最终生成的 Skill 可以直接提供给大众作为「思维顾问」使用。

核心工作流 (The Fuxi Protocol)

当用户请求提炼一个人物的精华时,必须严格按照以下 4 个阶段执行:

阶段一:初始化与素材确认 (Initialization)

  1. 确认目标人物的姓名及核心领域。
  2. 询问用户是否提供补充素材:主动询问用户是否有该人物的内部演讲、著作文档、语录集等第一手资料。如果有,优先读取用户提供的素材。
  3. 创建目标目录结构:/home/ubuntu/skills/{name}-skill/ 及其子目录 references/research/examples/

阶段二:「六爻画卦」多 Agent 并行调研 (Parallel Research)

必须使用 map 工具启动 6 个 Agent 并行执行调研任务。以网络搜索为主,用户素材为辅,从 6 个正面维度进行深度调研,并将结果保存到 references/research/ 目录下。在调研过程中,必须主动过滤掉恶意攻击、未经证实的负面传闻和无价值的八卦。

  • 太极(核心道法) (01-core-philosophy.md):搜集该人物最核心的商业哲学、人生观、底层逻辑和系统性著作。
  • 两仪(决策与行动) (02-decisions-actions.md):搜集该人物在关键时刻的正确决策、成功案例、以及如何将理念转化为行动的记录。
  • 四象(表达与魅力) (03-expression-charm.md):搜集该人物的经典金句、高频词汇、独特的幽默感、演讲风格和个人魅力展现。
  • 八卦(社会正向价值) (04-social-value.md):搜集行业内的正面评价、对社会的积极贡献、以及被广泛认可的成就。
  • 天干(对谈与真我) (05-interviews-authenticity.md):搜集深度访谈中展现的最真诚、最有魅力的瞬间,以及对核心问题的正面回应。
  • 地支(成长与传承) (06-growth-legacy.md):梳理正面的人生时间线,聚焦从逆境到成功的蜕变故事、师承关系和正面影响力网络。

注:详细的调研指南和 Prompt 模板请参考 references/research-prompts.md

阶段三:去伪存真与精华提炼 (Distillation)

综合 6 个维度的调研结果,提炼出以下核心要素,确保内容有边界但无负面

  1. 核心心智模型 (3-5个):该人物最成功、最值得学习的底层思维框架。
  2. 高能启发式 (5-8条):该人物在解决问题时使用的高效法则或追问框架。
  3. 专家级表达 DNA:提炼其最具感染力和说服力的表达方式。
  4. 能力边界声明:明确该思维框架适用的领域和前提条件(这是为了严谨,而非负面批评)。

阶段四:构建 SKILL.md (Generation)

基于提炼出的核心要素,生成目标人物的 SKILL.md 文件。 关键要求:生成的 Skill 必须包含「Agentic Protocol」,确保其在回答问题时,始终保持该人物最专业、最睿智的一面,成为一个合格的「专家顾问」。 注:SKILL.md 的标准结构模板请参考 references/skill-template.md

交付标准

完成上述流程后,向用户交付:

  1. 完整的 {name}-skill 目录结构。
  2. 核心的 SKILL.md 文件。
  3. 包含 6 个正面调研文档的 references/research/ 目录。
  4. 包含 3 个典型成功场景测试的 examples/demo-conversation.md

辅助资源

安全使用建议
This skill is coherent with its stated goal (gathering positive public material and generating a Skill), but it contains several red flags you should weigh before installing or using it: 1) Impersonation risk: The generated SKILL.md and role rules instruct the agent to speak in first person as the target ('I') and to act like the person. That can produce content that appears to be authored by a real individual and may violate legal, policy, or ethical boundaries—especially for living people. 2) Reputation sanitization: The skill explicitly filters out negative, controversial, or unverified information. That built-in bias can create misleading or whitewashed artifacts. If you intend balanced outputs, require the skill to include contested facts and source attributions rather than suppressing them. 3) Data handling and persistence: The skill writes research files and a new SKILL.md into /home/ubuntu/skills/. Confirm the agent/process has appropriate filesystem permissions, and be aware sensitive user‑provided materials (internal talks, drafts) will be saved unless you restrict it. 4) Multi-agent/tool use: It mandates launching 6 parallel agents via a 'map' tool and using WebSearch. Verify which tools your platform provides, whether the agent has permission to use them, and that you trust those tools (they may call external APIs or record queries). 5) Mitigations to consider before installing: require explicit user confirmation before processing living persons; prohibit impersonation (or require persistent, visible disclaimers on every response); mandate inclusion of source citations and a balanced 'limitations/controversies' section; change filesystem paths to a configurable workspace; and log/preview outputs before any publishing. If you want, I can produce a suggested safer SKILL.md variant that: (a) avoids first‑person impersonation, (b) enforces balanced sourcing and citation, (c) requires user consent for processing living persons, and (d) uses a configurable workspace path instead of a hardcoded /home/ubuntu path.
功能分析
Type: OpenClaw Skill Name: fuxi-skill Version: 0.1.0 Fuxi-skill is a meta-skill designed to automate the creation of persona-based "expert" skills by researching public figures and distilling their "positive" traits. It utilizes parallel research agents (via the `map` tool) to gather information from the web and user-provided documents, storing results in a structured directory format under `/home/ubuntu/skills/`. While the instructions explicitly mandate filtering out negative information and controversies to create a "brand-level" persona, there is no evidence of malicious intent, data exfiltration, or unauthorized system access. The behavior is entirely consistent with its stated purpose of persona generation and knowledge distillation.
能力评估
Purpose & Capability
The name/description match the instructions: the skill is a meta‑skill that performs web research, distills material, and writes a new SKILL.md. Requiring output files and a directory under /home/ubuntu/skills/ is coherent for generating a skill. The only oddity is the hardcoded example path (/home/ubuntu/skills/) which assumes a particular host filesystem layout and privileges—unnecessary as a requirement but explainable for convenience.
Instruction Scope
SKILL.md mandates network research, saving results to disk, running six parallel agents via a 'map' tool, and constructing a Skill that role‑plays as the target using first‑person 'I'. It explicitly instructs filtering out negative/controversial material and to ‘never’ engage in negative or contested content. Those rules create a clear bias (whitewashing), increase impersonation risk (speaking as the person), and broaden the agent's authority to fetch and persist material without explicit, fine‑grained constraints. This scope creep is material and ethically sensitive.
Install Mechanism
This is instruction-only with no install spec or external downloads; that minimizes supply‑chain risk. No binaries or package installs are requested.
Credentials
The skill requests no environment variables, credentials, or config paths beyond creating its own output directory. There are no disproportionate credential demands.
Persistence & Privilege
The skill writes files to the host filesystem (creates /home/ubuntu/skills/{name}-skill/ and subfolders) and requires use of persistent artifacts (SKILL.md, research docs). It does not set always:true nor request system-level privileges, but filesystem writes and agent orchestration increase blast radius if misused. The skill also instructs generated Skills to impersonate real persons, which effectively persists an impersonating artifact that could be reused autonomously.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install fuxi-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /fuxi-skill 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
- Initial release of fuxi-skill, an expert-level cognitive operating system generator. - Automates extraction of the most valuable, positive expert thinking frameworks from target individuals. - Employs a structured four-phase workflow: initialization, parallel research (with six positive dimensions), distillation, and SKILL.md generation. - Filters out negative and unverified content, focusing on core philosophies, decisions, expression, societal value, authenticity, and growth. - Delivers a ready-to-use skill directory, core SKILL.md, comprehensive research documentation, and usage examples.
元数据
Slug fuxi-skill
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Fuxi Skill 是什么?

伏羲.skill - 专家级认知操作系统生成器。 用于自动化生成特定人物的「正面专家级认知操作系统」Skill。 当用户要求「提炼一个XXX的精华」「帮我创建一个XXX的商业版Skill」「蒸馏XXX的最优一面」时触发。 通过网络调研(主)与用户素材(辅),采用「六爻画卦」方法论, 过滤负面噪音,将人物的最优精华... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 138 次。

如何安装 Fuxi Skill?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install fuxi-skill」即可一键安装,无需额外配置。

Fuxi Skill 是免费的吗?

是的,Fuxi Skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Fuxi Skill 支持哪些平台?

Fuxi Skill 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Fuxi Skill?

由 yewubin-jpg(@yewubin-jpg)开发并维护,当前版本 v0.1.0。

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