Token导航 LogoToken导航TokenDH.com
开发需要联网clawhub未标认证来源可访问clear审计通过

coder-openclaw-agentcoder OpenClaw Agent 测试

Agent Skill

coder-openclaw-agent 用于辅助测试设计、自动化测试和回归验证,适合在 OpenClaw 中需要补充测试、分析失败日志或验证功能改动时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

24,547

周安装

993

GitHub Stars

1

下载量

7,706
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:coder-openclaw-agent(coder OpenClaw Agent 测试)
来源仓库:https://github.com/milleniumgenai/coder-openclaw-agent
安装命令:
openclaw skills install coder-openclaw-agent
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install coder-openclaw-agent

简介

coder-openclaw-agent 用于辅助测试设计和自动化验证。

  • 适合补充测试用例、分析失败日志或回归验证功能改动。
  • 通过 clawhub 安装,需确认是否会触发命令执行或文件修改。
  • 建议用于小型项目脚手架和后台代码执行任务。
  • 安装前应核实权限边界和维护状态。coder-openclaw-agent 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Coder for OpenClaw
description
Install and wire a coding-focused OpenClaw sub-agent for background code execution, test-driven edits, bug fixing, small project scaffolding, and small-to-medium data-analysis tasks.
version
0.1.3
metadata
openclaw
homepage
https://github.com/MilleniumGenAI/coder-openclaw-agent
requires
bins
config

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

  1. Copy openclaw/workspace-coder/ into your OpenClaw base directory, or point your agent config at that path directly.
  2. Build the sandbox image from the repository root:

- docker build -f docker/coder-sandbox.dockerfile -t coder-sandbox:latest .

  1. Register the agent in openclaw.json using:

- openclaw/agent-config.template.json

  1. 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/<task_name>/.
  • The expected output contract is strict JSON with SUCCESS | PARTIAL | FAILURE.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.79%
按下载量换算7,073

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills