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agasding

Pm Article Scorer

by Kai · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ✓ Security Clean
135
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5
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Install in OpenClaw
/install pm-article-scorer
Description
AI产品经理内容相关性评分技能。对公众号文章进行多维度启发式评分(0-100分),判断是否值得AI产品经理关注。
Usage Guidance
This skill is an instruction-only heuristic rubric and appears coherent and low-risk. Before installing/using, verify the actual implementation of heuristic_score will: (1) run locally without calling external APIs or sending content offsite, (2) avoid logging or transmitting article text or metadata to third parties, and (3) match the rubric's output format. Be aware the SKILL.md biases scoring toward certain named '优质原创作者' — consider whether that weighting is acceptable. If you let an assistant implement the function, review its code/output to ensure no hidden network calls or credential usage.
Capability Analysis
Type: OpenClaw Skill Name: pm-article-scorer Version: 1.0.4 The skill bundle contains instructions for an AI agent to perform heuristic scoring of articles for AI Product Managers. The logic is entirely contained within SKILL.md as a scoring rubric and does not include any executable code, network requests, or data exfiltration mechanisms. The metadata and instructions are consistent with the stated purpose of content filtering.
Capability Assessment
Purpose & Capability
Name/description (PM article scoring) match the content of SKILL.md. No unrelated env vars, binaries, or config paths are requested.
Instruction Scope
SKILL.md defines detailed local heuristic rules and an expected return dict. It states processing is local and no external API/LLM calls are required. However, the skill is instruction-only and provides no implementation code — the agent or integrator must implement heuristic_score(title, author, content), so actual runtime behavior depends on that implementation.
Install Mechanism
No install spec and no code files — lowest-risk form. Nothing is downloaded or written to disk by the skill package itself.
Credentials
No environment variables, credentials, or config paths are requested. Declared requirements are minimal and appropriate for the stated purpose.
Persistence & Privilege
Skill is not marked always:true and is user-invocable. It does not request persistent or privileged system presence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pm-article-scorer
  3. After installation, invoke the skill by name or use /pm-article-scorer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
清理遗留文件(移除README.md、旧版scripts、OpenAI API key示例),仅保留SKILL.md+LICENSE+_meta.json
v1.0.3
修复_meta.json错误元数据(ownerId/slug指向前一版本的humanizer);更新评分为语义价值判断逻辑
v1.0.2
评分逻辑全面重构:从关键词计数升级为语义价值判断,新增内容类型判断、个人输出加权、营销号降权等修正机制
v1.0.1
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v1.0.0
Initial release: AI产品经理内容相关性评分工具,支持多维度评分(0-100分),判断公众号文章是否值得阅读
Metadata
Slug pm-article-scorer
Version 1.0.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is Pm Article Scorer?

AI产品经理内容相关性评分技能。对公众号文章进行多维度启发式评分(0-100分),判断是否值得AI产品经理关注。 It is an AI Agent Skill for Claude Code / OpenClaw, with 135 downloads so far.

How do I install Pm Article Scorer?

Run "/install pm-article-scorer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Pm Article Scorer free?

Yes, Pm Article Scorer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Pm Article Scorer support?

Pm Article Scorer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Pm Article Scorer?

It is built and maintained by Kai (@agasding); the current version is v1.0.4.

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