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Mlscp
by
sirkrouph-dev
· GitHub ↗
· v0.1.0
1890
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Install in OpenClaw
/install mlscp
Description
Parse and generate MLSCP (Micro LLM Swarm Communication Protocol) commands. Use when communicating with other agents efficiently, parsing compressed commands, or generating token-efficient instructions. Reduces token usage by 70-80% compared to natural language.
Usage Guidance
This skill's docs show CLI scripts and a Python module but the skill bundle contains only SKILL.md and no code or install instructions. Before installing or enabling it: 1) ask the publisher for the missing scripts or a clear install procedure (or a verified GitHub release link). 2) If the skill will run local scripts, inspect those scripts first — they could execute arbitrary commands. 3) If you must test it, do so in an isolated environment (sandbox/VM) with no sensitive files mounted. 4) Prefer a version that includes its implementation or links to an audited release; do not grant it broad autonomous privileges until you confirm what it will execute.
Capability Analysis
Type: OpenClaw Skill
Name: mlscp
Version: 0.1.0
The `SKILL.md` documentation describes a skill that provides direct and powerful file system manipulation capabilities (read, write, delete files) and variable manipulation via its MLSCP commands (e.g., `F?`, `F+`, `F~`, `F-`, `V?`, `V+`, `V~`, `V-`). While the stated purpose is token-efficient agent-to-agent communication, these broad permissions represent significant risky capabilities. An AI agent utilizing this skill could be easily prompted to perform unauthorized actions such as reading sensitive files, modifying critical configurations, or deleting data, even without explicit malicious intent from the skill developer.
Capability Assessment
Purpose & Capability
The skill claims to parse/generate MLSCP and shows examples invoking ./scripts/mlscp.sh and a Python mlscp module; however the package contains no scripts, modules, or install spec. Either the skill relies on external, preinstalled tooling (not documented) or the submission is incomplete. Requesting no credentials and no binaries is consistent with the stated purpose, but the absence of the actual implementation is inconsistent.
Instruction Scope
SKILL.md instructs the agent to run shell scripts (parse/validate/compress/vocab) and to read a project path to generate vocabulary (which implies reading repository files). Those operations are reasonable for a parser/generator, but the instructions give the agent permission to execute arbitrary local scripts and access project files — and the referenced scripts are not present. This open-ended execution of local scripts is a risk if the referenced tooling is substituted or malicious.
Install Mechanism
No install spec is provided (lowest risk from an installer perspective). However, because the instructions reference local scripts and a Python package, a missing install step is a functional and security concern: the skill either expects preinstalled third-party tooling (not documented) or the submission omitted implementation artifacts.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md uses a single environment variable example ($INCOMING_COMMAND) which is reasonable. There are no requests for unrelated secrets or system credentials.
Persistence & Privilege
The skill does not request always: true and makes no persistence or system-wide changes. Autonomous invocation is allowed (platform default) but not combined with other high-privilege requests.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mlscp - After installation, invoke the skill by name or use
/mlscp - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release of the mlscp skill for the Micro LLM Swarm Communication Protocol (MLSCP)
- Provides parsing, validation, and generation of MLSCP commands for efficient agent-to-agent communication
- CLI scripts included for command parsing, validation, vocabulary generation, and natural language compression
- Comprehensive command and syntax reference for MLSCP operations
- Python API for parsing and integrating MLSCP commands into projects
- Significant reduction in token usage (70–80%) compared to natural language instructions
Metadata
Frequently Asked Questions
What is Mlscp?
Parse and generate MLSCP (Micro LLM Swarm Communication Protocol) commands. Use when communicating with other agents efficiently, parsing compressed commands, or generating token-efficient instructions. Reduces token usage by 70-80% compared to natural language. It is an AI Agent Skill for Claude Code / OpenClaw, with 1890 downloads so far.
How do I install Mlscp?
Run "/install mlscp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Mlscp free?
Yes, Mlscp is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Mlscp support?
Mlscp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Mlscp?
It is built and maintained by sirkrouph-dev (@sirkrouph-dev); the current version is v0.1.0.
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