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Rtk Compressor
by
Efficiency97
· GitHub ↗
· v0.1.0
· MIT-0
227
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install rtk-compressor
Description
Intelligently compress CLI outputs by removing comments, blanks, and redundancies to reduce token usage by 60-90% while preserving key info.
Usage Guidance
This skill is internally coherent, but it references installing an external PyPI package (rtk-compressor) rather than bundling code. Before installing or running it: 1) Verify the PyPI package name and author on pypi.org and inspect the package source or repository for malicious behavior; 2) Note minor documentation inconsistencies (examples use `rtk-compress` vs `rtk-compressor` and module name `rtk_compressor`), which suggest sloppy packaging — treat as a signal to inspect the package closely; 3) Prefer installing in an isolated environment (virtualenv or container) if you want to test it; 4) If you cannot review the package source, avoid installing it on sensitive systems.
Capability Analysis
Type: OpenClaw Skill
Name: rtk-compressor
Version: 0.1.0
The skill bundle contains only documentation and metadata for a utility called 'RTK Compressor' designed to reduce token consumption by stripping unnecessary characters from CLI output. It does not include any executable code, instead instructing the user to install an external package via pip (`rtk-compressor`). No malicious patterns, prompt injections, or data exfiltration attempts were found in the provided files (SKILL.md, README.md, _meta.json).
Capability Assessment
Purpose & Capability
Name/description (compress CLI outputs) match the instructions (pipe text to rtk-compressor or call the Python module). The skill requests no unusual binaries, env vars, or config paths.
Instruction Scope
SKILL.md only instructs compressing text via a CLI tool or Python module and shows supported modes/types. It does not ask the agent to read unrelated files, credentials, or to send data to external endpoints.
Install Mechanism
There is no bundled install spec inside the skill; SKILL.md/README recommend `pip install rtk-compressor`. Installing an external PyPI package is a normal choice but introduces supply-chain risk because the skill itself does not include the package source.
Credentials
No environment variables, credentials, or config paths are requested — the requested privileges are minimal and appropriate for the stated purpose.
Persistence & Privilege
Skill is not always-enabled and does not request persistent system-level privileges. Autonomous invocation is allowed (platform default) but not combined with other concerning flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rtk-compressor - After installation, invoke the skill by name or use
/rtk-compressor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release of rtk-compressor.
- Compresses CLI command outputs to reduce token usage by 60-90%.
- Removes comments, blank lines, and boilerplate code.
- Aggregates similar items and preserves core information.
- Supports multiple output types: ls/tree commands, file contents, test results, and JSON/logs.
- Usable both as a CLI tool and as a Python module.
Metadata
Frequently Asked Questions
What is Rtk Compressor?
Intelligently compress CLI outputs by removing comments, blanks, and redundancies to reduce token usage by 60-90% while preserving key info. It is an AI Agent Skill for Claude Code / OpenClaw, with 227 downloads so far.
How do I install Rtk Compressor?
Run "/install rtk-compressor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rtk Compressor free?
Yes, Rtk Compressor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Rtk Compressor support?
Rtk Compressor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rtk Compressor?
It is built and maintained by Efficiency97 (@efficiency97); the current version is v0.1.0.
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