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Install in OpenClaw
/install text-summarizer
Description
Extractive AI text summarizer. Automatically extracts the most important sentences from any text using a hybrid TextRank + TF-IDF algorithm.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-summarizer - After installation, invoke the skill by name or use
/text-summarizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Text Summarizer?
Extractive AI text summarizer. Automatically extracts the most important sentences from any text using a hybrid TextRank + TF-IDF algorithm. It is an AI Agent Skill for Claude Code / OpenClaw, with 178 downloads so far.
How do I install Text Summarizer?
Run "/install text-summarizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text Summarizer free?
Yes, Text Summarizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text Summarizer support?
Text Summarizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text Summarizer?
It is built and maintained by OpenLark (@openlark); the current version is v1.0.0.
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