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milleniumgenai

Coder for OpenClaw

作者 LamdaProject · GitHub ↗ · v0.1.3 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install coder-openclaw-agent
功能描述
Install and wire a coding-focused OpenClaw sub-agent for background code execution, test-driven edits, bug fixing, small project scaffolding, and small-to-me...
使用说明 (SKILL.md)

Coder for OpenClaw

What this skill is

This is an integration skill for installing and wiring the coder OpenClaw sub-agent from the public repository:

The repository contains:

  • the workspace-coder prompt pack;
  • the coder-sandbox:latest Docker image definition;
  • the coder agent config template;
  • the Main -> Coder orchestration contract.

This skill is intended for OpenClaw users who want a strong background coding and data-analysis sub-agent without building the orchestration from scratch.

What it can do

  • code execution and verification inside the OpenClaw sandbox;
  • bug fixing and test-driven edits;
  • small project scaffolding;
  • small-to-medium data-analysis tasks;
  • HTML, PDF, spreadsheet, and office-style document processing;
  • honest blocked-state reporting through PARTIAL or FAILURE.

Requirements

  • OpenClaw 2026.3.x or later
  • Docker available on the host
  • an authenticated openai-codex provider profile

Install

  1. Clone the repository:
    • git clone https://github.com/MilleniumGenAI/coder-openclaw-agent.git
  2. Copy openclaw/workspace-coder/ into your OpenClaw base directory, or point your agent config at that path directly.
  3. Build the sandbox image from the repository root:
    • docker build -f docker/coder-sandbox.dockerfile -t coder-sandbox:latest .
  4. Register the agent in openclaw.json using:
    • openclaw/agent-config.template.json
  5. If your main agent delegates coding tasks, align it with:
    • openclaw/main-coder-prompt.md

Validate

Run these checks before using the agent in real work:

openclaw models status --agent coder --probe --probe-provider openai-codex --json
openclaw sandbox explain --agent coder

Then run a first smoke task:

openclaw agent --agent coder --json --message "Return strictly valid JSON matching coder SOUL schema. GOAL: create /tmp/coder/smoke/main.py that prints hello. INPUTS: none. CONSTRAINTS: work only in /tmp/coder/smoke; use python3 and Linux/bash commands only; use PARTIAL if blocked. SUCCESS CRITERIA: python3 /tmp/coder/smoke/main.py prints hello. DELIVERABLES: codeblocks and sandbox_log."

Core references

Notes

  • This is an OpenClaw-only v1 package.
  • ClawHub publishes skills under platform-wide MIT-0 terms.
  • The runtime source of truth is openclaw/workspace-coder/SOUL.md.
  • Default working area inside the sandbox is /tmp/coder/\x3Ctask_name>/.
  • The expected output contract is strict JSON with SUCCESS | PARTIAL | FAILURE.
安全使用建议
This skill appears to do what it says, but installation requires cloning and building a third-party GitHub repo and its Docker image. Before installing: review the repository (especially Dockerfile, workspace-coder/SOUL.md, and agent-config.template.json) for unexpected actions; ensure Docker builds occur in an isolated environment if you don't fully trust the source; confirm you are comfortable granting the OpenClaw openai-codex provider profile access to this sub-agent (usage/costs and API access); back up your openclaw.json before registering the new agent; and run the provided smoke tests in a safe sandbox first.
功能分析
Type: OpenClaw Skill Name: coder-openclaw-agent Version: 0.1.3 The skill bundle serves as a configuration and installation guide for a coding-focused sub-agent. It provides instructions for cloning a repository (github.com/MilleniumGenAI/coder-openclaw-agent), building a Docker-based sandbox, and configuring the OpenClaw environment. The provided SKILL.md and _meta.json contain no executable code, malicious instructions, or indicators of data exfiltration; the 'smoke test' prompt is a standard verification task restricted to a temporary directory.
能力评估
Purpose & Capability
Name, description, required binaries (openclaw, docker, git), and required OpenClaw config/provider profile align with the stated goal of installing a coding-focused OpenClaw sub-agent. The listed actions (copy workspace-coder, register agent, build sandbox image) are expected for this capability.
Instruction Scope
Runtime instructions are limited to cloning the listed GitHub repo, copying agent files into your OpenClaw directory, building a Docker sandbox image, and registering the agent in openclaw.json. They do not request unrelated system files or credentials. However, the instructions do require building and running third‑party code (the Docker image and workspace contents), so you should inspect the repository and SOUL/agent files before installing.
Install Mechanism
No automated install spec is provided; installation is instruction-driven via git clone and docker build from a GitHub repo. GitHub is a common host (expected), but building a Docker image from remote source can execute arbitrary code during build — review the Dockerfile and repo before building.
Credentials
The skill requests no new environment variables itself. It does require an authenticated openai-codex provider profile in OpenClaw (expected for a coding LLM sub-agent). Be aware the sub-agent will use whatever provider credentials are present in OpenClaw (possible usage/cost implications and access to provider APIs).
Persistence & Privilege
The skill is not always:true and is user-invocable; it will register an agent in openclaw.json (expected behavior for adding a sub-agent). There is no indication it modifies other skills or system-wide agent settings beyond registering itself.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install coder-openclaw-agent
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /coder-openclaw-agent 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.3
Version 1.0.0 of coder-openclaw-agent introduces updated requirements metadata and configuration details. - Added explicit config requirements in metadata (openclaw.json, OpenAI Codex provider profile). - Removed broken emoji field from metadata. - Updated skill version to 0.1.3. - No code or file changes; documentation (SKILL.md) metadata updated for clarity and completeness.
v0.1.2
Initial ClawHub publication for coder-openclaw-agent wrapper skill.
元数据
Slug coder-openclaw-agent
版本 0.1.3
许可证 MIT-0
累计安装 9
当前安装数 8
历史版本数 2
常见问题

Coder for OpenClaw 是什么?

Install and wire a coding-focused OpenClaw sub-agent for background code execution, test-driven edits, bug fixing, small project scaffolding, and small-to-me... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 751 次。

如何安装 Coder for OpenClaw?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install coder-openclaw-agent」即可一键安装,无需额外配置。

Coder for OpenClaw 是免费的吗?

是的,Coder for OpenClaw 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Coder for OpenClaw 支持哪些平台?

Coder for OpenClaw 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Coder for OpenClaw?

由 LamdaProject(@milleniumgenai)开发并维护,当前版本 v0.1.3。

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