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Text Summarizer

作者 OpenLark · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install text-summarizer
功能描述
Extractive AI text summarizer. Automatically extracts the most important sentences from any text using a hybrid TextRank + TF-IDF algorithm.
安全使用建议
This skill appears to be what it claims — a local extractive summarizer — and doesn't request secrets or network access. Before running: (1) ensure you have a safe execution environment with Python 3, (2) inspect the included script (already reviewed here) and confirm you are comfortable executing local code, (3) avoid feeding sensitive files you wouldn't want printed to stdout (the script will output excerpts of the input), and (4) note functional limitations (English-only tokenization, simple sentence splitting). If you plan to let an autonomous agent invoke this skill, remember the agent may pass arbitrary user text to the script — review agent policies for handling sensitive data.
功能分析
Type: OpenClaw Skill Name: text-summarizer Version: 1.0.0 The text-summarizer skill bundle is a legitimate tool for extractive text summarization. The core logic in scripts/summarize.py implements a hybrid TextRank and TF-IDF algorithm using only Python standard libraries, with no evidence of network activity, data exfiltration, or unauthorized file access. The SKILL.md instructions are strictly focused on the summarization task and do not contain any prompt-injection attempts or malicious directives.
能力评估
Purpose & Capability
Name/description claim an extractive summarizer and the included Python script implements a TextRank + TF-IDF hybrid extractive algorithm. There are no unrelated environment variables, binaries, or configuration paths requested.
Instruction Scope
SKILL.md instructs the agent/user to pass text or files to the summarizer and the script reads either a provided --text string or a local input file and prints the extracted sentences. There is a small doc mismatch: examples refer to 'summarize.py' while the code is at 'scripts/summarize.py' — a packaging/path detail rather than a security concern. The instructions do not request other files, environment variables, or network calls.
Install Mechanism
No install spec is provided (instruction-only with an included script). Nothing is downloaded from the network and no archives are extracted. The contained code will run with a system Python interpreter.
Credentials
The skill requires no environment variables, credentials, or config paths. The code does not access environment variables or external services.
Persistence & Privilege
always is false and the skill does not request permanent presence or attempt to modify other skill/system configuration. It only reads user-supplied input files or text.
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 text-summarizer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-summarizer 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
v1.0.0
Initial release of the Text Summarizer skill: - Extracts the most important sentences from any text using a hybrid TextRank + TF-IDF algorithm. - Supports summary length presets: short (20%), medium (30%, default), and long (50%). - Offers two output formats: bullet points (default) or flowing paragraph. - Works on a wide range of text types, including articles, reports, papers, notes, and emails. - Zero hallucination risk—summaries consist of exact sentences from the original document. - Optimized for English prose; limited support for code or tabular data.
元数据
Slug text-summarizer
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Text Summarizer 是什么?

Extractive AI text summarizer. Automatically extracts the most important sentences from any text using a hybrid TextRank + TF-IDF algorithm. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 178 次。

如何安装 Text Summarizer?

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

Text Summarizer 是免费的吗?

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

Text Summarizer 支持哪些平台?

Text Summarizer 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 Text Summarizer?

由 OpenLark(@openlark)开发并维护,当前版本 v1.0.0。

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