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Alpha-Park/openclaw-genpark-agent-forge

Deterministic Python Model Context Protocol (MCP) server & autonomous agent skill for Openclaw Agent Forge.

History

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Individual skills in this repository

How it works

openclaw-genpark-agent-forge

When your agent uses it

OpenClaw GenPark Agent Forge - Multi-agent DAG workflow compiler with Kahn's topological sort and Critical Path Method (CPM).

What it loads into context

Frontmatter

66 tokens

Always available to the agent

SKILL.md

331 tokens

When the skill is activated

Reference documents

496 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Overview & Agent Behavioral Directives
  2. When to Activate This Skill
  3. How to Execute
  4. Core Mathematical & Algorithmic Guardrails

Scripts executed separately

  • client.py
  • example_usage.py
  • mcp_server.py

Files

  • .gitignoreasset57 bytes
  • LICENSEasset1,071 bytes
  • README.mddoc1,947 bytes
  • SKILL.mdcore1,490 bytes
  • SKILL.mdcore1,490 bytes
  • client.pyruns4,112 bytes
  • example_usage.pyruns1,099 bytes
  • mcp_server.pyruns2,975 bytes
  • requirements.txtdoc75 bytes
  • skill.jsonasset410 bytes
Read SKILL.md

# Openclaw Genpark Agent Forge

## Overview & Agent Behavioral Directives
You are an autonomous agent specialized in **Openclaw Genpark Agent Forge**.
Your primary directive is to execute: OpenClaw GenPark Agent Forge - Multi-agent DAG workflow compiler with Kahn's topological sort and Critical Path Method (CPM).
Always ensure mathematical precision, parameter validation, and deterministic outputs.

## When to Activate This Skill
- Activate when an agent workflow or user instruction requires:
- `execute_agent_forge`
- Activate when operating in zero-dependency environments requiring pure Python standard library execution.

## How to Execute
View the complete source on GitHub

Skills included

  • openclaw-genpark-agent-forge

Repository facts

License
MIT
Created
Oct 28, 2026
Last pushed
Oct 31, 2026
Forks
0
Open issues
0
Project activity
Active

Before you install

Local scripts

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

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  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 8 signals by file

.gitignore

  • Access to secretsline 3
    [Credential-related source omitted]

README.md

  • Network accessline 5
    [![Python 3.9+](https://img.shields.io/badge/python-3.9%2B-blue.svg?style=for-the-badge&logo=python)](https://www.python.org/)
  • Network accessline 6
    [![License MIT](https://img.shields.io/badge/license-MIT-green.svg?style=for-the-badge)](LICENSE)
  • Network accessline 7
    [![MCP Compatible](https://img.shields.io/badge/MCP-100%25%20Compatible-purple.svg?style=for-the-badge&logo=anthropic)](https://modelcontextprotocol.io/)
  • Network accessline 8
    [![Zero Dependencies](https://img.shields.io/badge/Dependencies-0%20(Stdlib%20Only)-brightgreen.svg?style=for-the-badge)](requirements.txt)

client.py

  • Executable scriptline 1
    Executable file

example_usage.py

  • Executable scriptline 1
    Executable file

mcp_server.py

  • Executable scriptline 1
    Executable file

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 7 facts
  • Network access in prose of documentationREADME.md:5Low confidence
  • Network access in prose of documentationREADME.md:6Low confidence
  • Network access in prose of documentationREADME.md:7Low confidence
  • Network access in prose of documentationREADME.md:8Low confidence
  • Executable script in a comment of a file that runsclient.py:1Low confidence
  • Executable script in a comment of a file that runsexample_usage.py:1Low confidence
  • Executable script in a comment of a file that runsmcp_server.py:1Low confidence

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.