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indigas

text-scan

by Indigas · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
106
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Install in OpenClaw
/install text-scan
Description
Quickly find and score relevant lines with context in large text files using keyword and phrase matching to minimize reading entire files.
Usage Guidance
This is a simple, local text-scanning utility and appears to do what it says: read files (or stdin) and return scored matches with context. Before installing/running, note these points: (1) the tool will print matched lines and context to stdout or to an output file you specify — do not run it against files containing secrets unless you want that content displayed/stored; (2) the SKILL.md mentions fuzzy matching and a stdin-query mode that are not actually implemented in the script — expect the --fuzzy flag to do nothing and --query to be required; (3) examples use a hardcoded user path (/home/marek) — replace with your own paths. If you need fuzzy matching or different query/stdin behavior, review or modify the script source before use.
Capability Analysis
Type: OpenClaw Skill Name: text-scan Version: 1.0.0 The text-scan skill is a utility for searching and scoring relevant lines within text files to optimize token usage. The Python script (text-scan.py) implements basic keyword and bigram matching with context windowing, and the documentation (SKILL.md) provides clear usage instructions aligned with its stated purpose. No evidence of data exfiltration, command injection, or malicious intent was found.
Capability Assessment
Purpose & Capability
The included Python script implements token/phrase scoring and returns context lines, which matches the skill description. Minor mismatches: SKILL.md advertises a '--fuzzy' fuzzy-matching mode and a behavior 'If no --query is given, reads from stdin for the query', but the script accepts a --fuzzy flag without implementing fuzzy logic and in practice requires --query (the code never treats a missing query specially). Examples reference a specific user home path (/home/marek), which is harmless but should be generalized.
Instruction Scope
Runtime instructions and the script operate only on local files or stdin, and only read/emit file contents. There are no instructions to read unrelated system state, environment variables, or send data externally.
Install Mechanism
No install spec; this is an instruction-only skill with a small bundled script. Nothing is downloaded or executed from external sources during install.
Credentials
The skill requires no environment variables, credentials, or config paths. The example file paths are local and match the stated purpose.
Persistence & Privilege
The skill does not request persistent presence (always is false) and does not modify other skills or system configuration. It runs on demand and only accesses files the user gives it.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install text-scan
  3. After installation, invoke the skill by name or use /text-scan
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — search text files for relevant lines without reading the full file
Metadata
Slug text-scan
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is text-scan?

Quickly find and score relevant lines with context in large text files using keyword and phrase matching to minimize reading entire files. It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.

How do I install text-scan?

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

Is text-scan free?

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

Which platforms does text-scan support?

text-scan is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created text-scan?

It is built and maintained by Indigas (@indigas); the current version is v1.0.0.

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