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版本数
在 OpenClaw 中安装
/install tmp70s6amg4
功能描述
文章品鉴师 - 多维度评估文章质量、检测AI味/大便味、识别原创内容
安全使用建议
This skill appears internally consistent with its description. Before installing or running: 1) Review and, if possible, run the code in an isolated environment (virtualenv or container) and install dependencies from requirements.txt. 2) Do not pass sensitive local files (password files, SSH keys, system configs) to the --file or --dir options — the tool will read any file path you give it. 3) If you plan to deploy it in production or allow autonomous agent invocation, monitor outbound network activity (there is no network code in the provided files, but it’s good practice). 4) If you need stricter guarantees, request provenance (who authored/published the skill) or run a security audit on the repository code (lint, dependency checks).
能力评估
Purpose & Capability
Name/description (article quality / AI‑detection) match the provided modules: classifier, analyzers, AI detector, scorer, and report generator. No unrelated credentials, binaries, or config paths are requested. The included requirements (jieba, scikit-learn, numpy) are plausible for text analysis in Chinese and align with the skill's purpose.
Instruction Scope
SKILL.md and main.py limit runtime actions to analyzing text provided via --text or files the user explicitly supplies. The code reads input text, performs heuristic analysis, and outputs JSON/Markdown; there are no instructions to read arbitrary system configuration, harvest environment variables, or send results to external endpoints. The only file I/O is reading user-provided article files (via --file or --dir) and normal local operations for generating reports.
Install Mechanism
There is no install spec in the registry (instruction-only), but the bundle includes Python source and a requirements.txt. Running the skill as intended will require installing Python dependencies; this is expected but worth noting. No remote downloads, URL-based installers, or extract operations are present in the package metadata.
Credentials
The skill declares no required environment variables or credentials and the code does not reference external secrets. No cross-service tokens or unrelated credentials are requested. The only external requirement is typical Python packages listed in requirements.txt.
Persistence & Privilege
Flags show always:false and normal agent invocation. The skill does not request permanent system presence nor attempts to modify other skills or global agent configuration. It does not request elevated privileges.
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 tmp70s6amg4 - 安装完成后，直接呼叫该 Skill 的名称或使用
/tmp70s6amg4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
v1.0.0
Initial release of Article Taster – a comprehensive tool for multidimensional article quality evaluation.
- Supports detection of article type (technical, essay, novel, etc.) with specialized analyzers for each.
- Provides quality scoring across multiple dimensions, including technical depth, structure, originality, and readability for technical articles, and tailored criteria for essays/novels.
- Features advanced AI-generation and “AI flavor” (大便味) detection with exemption rules for classical poetry and literature.
- Outputs detailed JSON reports and concise Markdown summaries with ratings, recommendations, and AI detection results.
- Command-line usage for single or batch article analysis, with optional quick scoring and type enforcement.
- Requires Python 3.10+, jieba, scikit-learn, and optionally LLM APIs for enhanced assessments.
元数据
常见问题
article-taster 是什么？
文章品鉴师 - 多维度评估文章质量、检测AI味/大便味、识别原创内容. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 133 次。
如何安装 article-taster？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tmp70s6amg4」即可一键安装，无需额外配置。
article-taster 是免费的吗？
是的，article-taster 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
article-taster 支持哪些平台？
article-taster 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 article-taster？
由 forealmy（@forealmy）开发并维护，当前版本 v1.0.0。
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