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AutomationPython

Labrat Operator

by ProjectDXAI

Labrat Operator is an Automation skill for Claude Code, published by ProjectDXAI in labrat.

238 stars4 forkson ProjectDXAI/labratAdded 2026/09/03Repository updated 2026/08/07
View source on GitHubDownload repo ZIP
ai-agentsautonomous-researchclaude-codeexperiment-managementmarket-allocationmulti-agentresearch-automation
Install in seconds
Install Labrat Operator
Copy Labrat Operator into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/ProjectDXAI/labrat/tree/main/.agents/skills/labrat-operator ~/.claude/skills/labrat-operator

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ProjectDXAI/labrat.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.agents/skills/labrat-operator/SKILL.md in ProjectDXAI/labrat
Installs to
~/.claude/skills/labrat-operator
Collection
The only skill cataloged from this repository
Category
Automation — 1754 skills

What Labrat Operator does

Labrat Operator manages a labrat lab runtime with Codex by checking health, selecting the next prompt, supervising cycles, auditing candidates, and writing checkpoint notes. Use it when operating or reviewing a live lab run.

Labrat Operator is cataloged under Automation on DirSkills. Labrat Operator comes from a repository tagged ai-agents, autonomous-research, claude-code, experiment-management and market-allocation.

Documentation

README

labrat Operator

Use this skill from a labrat lab root, identified by branches.yaml, evaluation.yaml, runtime.yaml, and scripts/operator_helper.py.

Codex can load this skill implicitly when a task matches the description, or explicitly when the user references $labrat-operator. Keep this skill focused on lab operation; repo release mechanics belong in the root AGENTS.md.

Cold Start

  1. Run python scripts/operator_helper.py doctor.
  2. Run python scripts/operator_helper.py status.
  3. Read coordination/workspace_map.md.
  4. Read coordination/prioritized_tasks.md.
  5. Run python scripts/operator_helper.py next-prompt --runner codex --phase auto.

If you are operating from the repo root, use the equivalent labrat ... --lab-dir <path> commands.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Labrat Operator

  • How does Labrat Operator compare to other Automation skills?

    Labrat Operator ranks #1547 by stars among the 1754 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Labrat Operator against them. Open each page to compare what they document and how they install.

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Labrat Operator is one of 1754 Automation skills cataloged on DirSkills, ranked #1547 by stars among them.

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