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Install in OpenClaw
/install tmp70s6amg4
Description
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
Usage Guidance
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).
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tmp70s6amg4 - After installation, invoke the skill by name or use
/tmp70s6amg4 - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is article-taster?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.
How do I install article-taster?
Run "/install tmp70s6amg4" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is article-taster free?
Yes, article-taster is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does article-taster support?
article-taster is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created article-taster?
It is built and maintained by forealmy (@forealmy); the current version is v1.0.0.
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