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albionaiinc-del

Txt Chunker

by albionaiinc-del · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
76
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Install in OpenClaw
/install txt-chunker
Description
Splits large text files into smaller chunks by line count for easier processing of logs, datasets, or documents.
Usage Guidance
This appears to be a straightforward, local file-splitting script. Before using: (1) Note SKILL.md references a 'txt_chunker' CLI but the bundle only includes tool.py — you'll need Python 3 and can run it as 'python tool.py inputfile ...' or create a wrapper. (2) Review tool.py (already included) if you want to verify behavior; it only reads the provided input file and writes chunk files to the current directory. (3) Run it in a directory where writing many files is acceptable to avoid disk clutter. (4) Be aware the SKILL.md shows a price ($2.50) but there is no payment mechanism in the files — confirm payment/installation details from the publisher before paying. (5) Because the source/homepage are unknown, prefer running it on non-sensitive sample files first.
Capability Analysis
Type: OpenClaw Skill Name: txt-chunker Version: 1.0.0 The skill bundle provides a straightforward utility for splitting text files into smaller chunks by line count. The Python script (tool.py) uses standard libraries to read an input file and write segments to disk based on user-defined parameters. No malicious behaviors, network activity, or suspicious instructions were identified in the code or documentation.
Capability Assessment
Purpose & Capability
The name/description match the included Python tool: tool.py reads a text file and writes line-count-based chunks. The capability requested is proportionate to the stated purpose.
Instruction Scope
SKILL.md only describes running a command to split files and does not instruct reading unrelated files or exfiltrating data. Minor mismatch: SKILL.md shows a command named 'txt_chunker' while the bundle contains tool.py and no install wrapper — the README assumes a CLI name that isn't provided by an install spec.
Install Mechanism
There is no install spec (instruction-only). The Python script is present but not packaged or installed automatically; the user would need to run python tool.py or create a wrapper. No downloads or external installers are present.
Credentials
The skill requests no environment variables, no credentials, and touches only files provided as input/output. This is proportional for a local file-splitting utility.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills/config. Autonomous invocation is allowed by default but the skill itself has no elevated persistence or system-wide changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install txt-chunker
  3. After installation, invoke the skill by name or use /txt-chunker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of TXT Chunker. - Splits large text files into smaller chunks by specified line count. - Supports custom output naming and default chunk naming. - Ideal for handling logs, datasets, and long documents.
Metadata
Slug txt-chunker
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Txt Chunker?

Splits large text files into smaller chunks by line count for easier processing of logs, datasets, or documents. It is an AI Agent Skill for Claude Code / OpenClaw, with 76 downloads so far.

How do I install Txt Chunker?

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

Is Txt Chunker free?

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

Which platforms does Txt Chunker support?

Txt Chunker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Txt Chunker?

It is built and maintained by albionaiinc-del (@albionaiinc-del); the current version is v1.0.0.

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