7.7k★mlscp – OpenClaw Skill
mlscp is an OpenClaw Skills integration for ai ml workflows. 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.
Skill Snapshot
| name | 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. OpenClaw Skills integration. |
| owner | sirkrouph-dev |
| repository | sirkrouph-dev/mlscp |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @sirkrouph-dev/mlscp |
| last updated | Feb 7, 2026 |
Maintainer

name: 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.
MLSCP Skill
MLSCP (Micro LLM Swarm Communication Protocol) is a token-efficient command language for agent-to-agent communication. This skill lets you parse, validate, and generate MLSCP commands without any LLM overhead.
Why Use MLSCP?
| Natural Language | MLSCP | Savings |
|---|---|---|
| "Please modify the file src/chain_orchestrator.py by adding retry logic at line 47" | F+ s/co > ln47 + 'retry logic' | ~75% |
| "Read the contents of utils/file_manager.py from lines 10 to 50" | F? u/fm > ln10-50 | ~80% |
| "Delete the variable 'temp_cache' from config.py" | V- c/c > 'temp_cache' | ~70% |
Quick Start
Parse a Command
./scripts/mlscp.sh parse "F+ s/co > ln47 + 'retry logic'"
Validate Syntax
./scripts/mlscp.sh validate "F+ s/co > ln47 + 'retry logic'"
Generate Vocabulary
./scripts/mlscp.sh vocab /path/to/project
Compress Natural Language
./scripts/mlscp.sh compress "Add error handling to the main function in app.py"
Command Reference
Operations
| Code | Meaning | Example |
|---|---|---|
F+ | File add/insert | F+ s/app > ln10 + 'new code' |
F~ | File modify | F~ s/app > ln10-20 ~ 'updated code' |
F- | File delete | F- s/app > ln10-15 |
F? | File query/read | F? s/app > ln1-100 |
V+ | Variable add | V+ s/app + 'new_var = 42' |
V~ | Variable modify | V~ s/app > 'old_var' ~ 'new_value' |
V- | Variable delete | V- s/app > 'temp_var' |
V? | Variable query | V? s/app > 'config_*' |
Location Specifiers
ln47- Single lineln10-50- Line rangefn:main- Function namecls:MyClass- Class name
Context Blocks
CTX{"intent":"resilience","priority":"high","confidence":0.9}
Scripts
mlscp.sh- Main CLI toolvocab.py- Vocabulary generator (Python)
Integration
With Other Agents
When receiving commands from MLSCP-enabled agents:
./scripts/mlscp.sh parse "$INCOMING_COMMAND"
Sending Commands
Generate compact commands for other agents:
./scripts/mlscp.sh compress "Your natural language instruction"
API (Python)
from mlscp import parse, MLSCPParser
# Quick parse
cmd = parse("F+ s/co > ln47 + 'retry logic'")
print(cmd.operation) # OperationType.FILE_ADD
print(cmd.target) # "s/co"
# With vocabulary
parser = MLSCPParser(vocab_lookup)
cmd = parser.parse("F+ s/co > ln47 + 'code'")
full_path = vocab_lookup.get("s/co") # "src/chain_orchestrator.py"
Resources
- GitHub: https://github.com/sirkrouph-dev/mlcp
- Grammar Spec: See
references/grammar.abnf - Protocol Definition: See
references/protocol.md
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
FAQ
How do I install mlscp?
Run openclaw add @sirkrouph-dev/mlscp in your terminal. This installs mlscp into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/sirkrouph-dev/mlscp. Review commits and README documentation before installing.
