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Michael Polanyi
作者
August1314
· GitHub ↗
· v0.5.3
· MIT-0
103
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install michael-polanyi
功能描述
Writing skill for practitioner judgment under ambiguity, critique, trade-offs, and incomplete information. Use it when the user wants advice, strategy, or de...
安全使用建议
This skill appears coherent and low-risk: it only contains prompt instructions, examples, references, and a small local Python script that scans text for 'fluff' patterns. Before installing, you may want to (1) open SKILL.md and examples.md to confirm the output shape meets your needs, (2) inspect scripts/detect_fluff.py (it reads files or stdin and exits non‑zero on detected patterns) and avoid running arbitrary scripts if you don't intend to, and (3) if you embed this skill in an autonomous agent, remember the agent may call it to rewrite responses — there are no network calls or credential requirements in the package itself.
功能分析
Type: OpenClaw Skill
Name: michael-polanyi
Version: 0.5.3
The skill bundle is designed to improve AI response quality by transforming generic advice into grounded practitioner judgment. It contains stylistic instructions in SKILL.md and a benign Python utility, scripts/detect_fluff.py, which uses regular expressions to identify common AI-generated 'fluff' phrases. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the code and instructions are strictly aligned with the stated purpose of enhancing communication style.
能力评估
Purpose & Capability
Name/description (turn generic answers into grounded practitioner judgment) match the provided artifacts: SKILL.md, examples, references, and a small local helper script. No unrelated binaries, env vars, or external services are required.
Instruction Scope
SKILL.md limits runtime behavior to producing a specific response shape and instructs which local files to load for examples and reference. It does not instruct the agent to read system config, environment variables, or transmit data to external endpoints. The referenced helper (scripts/detect_fluff.py) analyzes text locally (files or stdin) and is consistent with the skill's quality-check purpose.
Install Mechanism
No install spec is provided (instruction-only), so nothing will be downloaded or written to disk by an installer. The package contains only local content (docs and a small Python script) which is appropriate for the skill's purpose.
Credentials
The skill requires no environment variables, credentials, or config paths. There are no requests for unrelated secrets or broad system access.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation allowed (disable-model-invocation is false). Given the lack of sensitive access or install actions, this normal autonomy does not materially increase risk.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install michael-polanyi - 安装完成后，直接呼叫该 Skill 的名称或使用
/michael-polanyi触发 - 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
v0.5.3
Formal v0.5.3 release with skillhub-ready packaging metadata, stable release asset URLs, and a clean installable package.
元数据
常见问题
Michael Polanyi 是什么？
Writing skill for practitioner judgment under ambiguity, critique, trade-offs, and incomplete information. Use it when the user wants advice, strategy, or de... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 103 次。
如何安装 Michael Polanyi？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install michael-polanyi」即可一键安装，无需额外配置。
Michael Polanyi 是免费的吗？
是的，Michael Polanyi 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Michael Polanyi 支持哪些平台？
Michael Polanyi 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 Michael Polanyi？
由 August1314（@august1314）开发并维护，当前版本 v0.5.3。
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