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Agent Skill · 开发

agent-harness(Agent 线束)

agent-harness 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

agent-harness 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 12,974。

总安装 1,058周安装 45GitHub Stars 8下载 371核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:agent-harness(Agent 线束)
来源仓库:https://github.com/wangdahoo/agent-harness
仓库路径:skills/agent-harness
安装命令:
npx skills add https://github.com/wangdahoo/agent-harness --skill agent-harness
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/wangdahoo/agent-harness --skill agent-harness

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定仓库安装并使用。

安装前需确认权限范围、维护状态,注意是否触发联网、命令执行或文件读写。agent-harness 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/agent-harness

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/wangdahoo/agent-harness --skill agent-harness;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agent-harness 怎么安装?

在终端执行 npx skills add https://github.com/wangdahoo/agent-harness --skill agent-harness。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-harness 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-harness 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/wangdahoo/agent-harness --skill agent-harness 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

agent-harness 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

agent-harness 用的人多吗?

公开数据是累计安装 1,058 次,近一周安装 45 次,下载 371 次,GitHub 8 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-harness 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
agent-harness

Agent 线束 · 本页

1,0588执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Agent Harness

Subcommand Routing

When invoked as /agent-harness <subcommand>, route to the appropriate workflow:

SubcommandAction
init <name>Run python3 scripts/init_project.py "<name>" --project-dir "$(pwd)"
sprint [req]Execute Sprint Agent workflow (see references/sprint-agent.md)
codeExecute Coding Agent workflow (see references/coding-agent.md)
996Execute 996 parallel orchestration (see references/996-agent.md)
statusRun python3 scripts/status.py --project-dir "$(pwd)"
archiveRun archive workflow
force-archiveRun force archive workflow
help or emptyShow available commands

Usage examples:

  • /agent-harness init "My Project" - Initialize new project
  • /agent-harness sprint "Add authentication" - Plan sprint
  • /agent-harness code - Start coding session
  • /agent-harness 996 - Execute parallel coding with subagent orchestration
  • /agent-harness status - Show status

CRITICAL: Always operate on files in the current project directory, NOT in the skill directory. At the start of every workflow, run python3 scripts/resolve_project_dir.py to get the correct absolute path. Use this path for ALL reads/writes of features.json and progress.md.

Framework for executing complex, multi-session projects using Sprint-Coding agent cycles.

Overview

Agent Harness enables Claude to manage long-running projects by:

  • Sprint Agent: Plans features and breaks down requirements
  • Coding Agent: Implements features one at a time
  • 996 Agent: Orchestrates parallel feature implementation with subagents
  • Progress Tracking: Maintains context across sessions
  • Quality Gates: Ensures working code at each step

Commands

Agent Harness provides slash commands with tab completion. Type /agent-harness to see all commands.

/agent-harness

Show available commands and usage.

Output:

Agent Harness Commands:
  /agent-harness init <name>           - Initialize new project tracking files
  /agent-harness sprint [req]          - Create or update sprint with feature breakdown
  /agent-harness code                  - Start coding session for next feature
  /agent-harness 996                   - Execute parallel coding with subagent orchestration
  /agent-harness status                - Show current project status
  /agent-harness archive               - Archive completed sprints
  /agent-harness force-archive         - Force archive ALL sprints (including incomplete)

/agent-harness init <name>

Initialize new project tracking files.

Example: /agent-harness init My App

Actions:

  • Create features.json and progress.md
  • Run python3 scripts/init_project.py "My App"
  • Commit the initialized files: git add features.json progress.md && git commit -m "chore: initialize project tracking"

/agent-harness sprint [requirements]

Create or update sprint with feature breakdown.

Examples:

  • /agent-harness sprint - Review current sprint and plan next
  • /agent-harness sprint Add user authentication with email and social login
  • /agent-harness sprint Build dashboard with charts and filters

Actions:

  1. Archive completed sprints (if any)
  2. Analyze requirements
  3. Break into atomic features with acceptance criteria
  4. Update only features.json and progress.md — do NOT create extra files like summary documents
  5. Display sprint planning summary in terminal
  6. Ask user to confirm the sprint plan before committing
  7. After user confirms, commit: git add features.json progress.md && git commit -m "chore: sprint planning - <sprint-name>"
  8. Read sprint-agent.md for detailed workflow

/agent-harness code

Start coding session for next feature.

Actions:

  1. Review progress.md and features.json
  2. Select next pending feature
  3. Implement following session protocol
  4. Commit code after implementation: git add -A && git commit -m "feat(<scope>): <description>"
  5. Read coding-agent.md for protocol

/agent-harness 996

Execute parallel coding tasks with subagent orchestration.

Examples:

  • /agent-harness 996 - Run parallel orchestration with default settings
  • /agent-harness 996 --max-parallel=3 - Limit to 3 concurrent subagents

Actions:

  1. Check for uncompleted sprint
  2. Analyze dependencies and file conflicts
  3. Dispatch subagents for parallel execution
  4. Verify results and update tracking files
  5. Commit: git add -A && git commit -m "chore: 996 orchestration complete - N features"
  6. Read 996-agent.md for protocol

Use when: You want to accelerate sprint completion by running multiple coding tasks in parallel.

/agent-harness status

Show current project status.

Output:

  • Current sprint and goal
  • Feature completion statistics
  • Next recommended feature
  • Run python3 scripts/status.py

/agent-harness archive

Archive completed sprints.

Actions:

  • List completed sprints
  • Move to .agent-harness/archived/
  • Run python3 scripts/archive_sprint.py
  • Commit: git add -A && git commit -m "chore: archive completed sprint"

/agent-harness force-archive

Force archive ALL sprints (including incomplete ones).

Warning: This will archive all sprints regardless of their status.

Actions:

  • List all sprints to be archived
  • Confirm with user
  • Move all to .agent-harness/archived/
  • Run python3 scripts/archive_sprint.py --force
  • Commit: git add -A && git commit -m "chore: force archive all sprints"

Quick Start

python3 scripts/init_project.py "Project Name" -d "Description"
python3 scripts/status.py
python3 scripts/validate_structure.py

Workflow

1. Sprint Planning (Sprint Agent)

When: New project or iteration

  1. Analyze user requirements
  2. Break into atomic features with acceptance criteria
  3. Order by dependencies
  4. Update features.json and progress.md

→ Read references/sprint-agent.md for workflow, schemas, and examples

2. Feature Implementation (Coding Agent)

When: Each development session

Session Protocol:

PhaseActions
Startpwd → read progress.md → git log → run lint/build
WorkSelect ONE feature → implement → test
EndUpdate progress.md → update features.json → commit

→ Read references/coding-agent.md for protocol, testing, and schemas

3. Iterate

Loop: Sprint Agent → Coding Agent → Coding Agent →... → Sprint Agent

Core Files

FilePurpose
features.jsonSprint and feature tracking
progress.mdSession log - add entries at top
AGENTS.mdProject-specific instructions

→ See references/sprint-agent.md or references/coding-agent.md for schemas

Scripts

All scripts support --project-dir / -p to specify the project directory. When using slash commands, --project-dir "$(pwd)" is passed automatically.

python3 scripts/resolve_project_dir.py [-s dir]                # Resolve project directory
python3 scripts/init_project.py <name> [-d desc] [-p dir]     # Initialize tracking
python3 scripts/status.py [-p dir]                             # Show status
python3 scripts/validate_structure.py [-p dir]                 # Validate features.json
python3 scripts/archive_sprint.py [-p dir] [--list|--dry-run]  # Archive completed sprints

CRITICAL: Always prefix with $env:PYTHONIOENCODING="utf-8"; when running scripts (required for Windows GBK compatibility).

Critical Rules

  1. One Feature Per Session - Don't implement multiple
  2. Always Leave Working Code - Never break the build
  3. Test End-to-End - Verify as user would experience
  4. Commit Frequently - Small commits enable rollback
  5. Never Delete Features - Only change status
  6. Use Progress Log - Record every session

References

By Agent Role:

  • sprint-agent.md - Sprint Agent: workflow, feature breakdown, schemas
  • coding-agent.md - Coding Agent: session protocol, testing, schemas
  • 996-agent.md - 996 Agent: parallel orchestration, subagent dispatch, conflict detection

Complete Examples:

  • examples.md - Realistic examples of features.json, progress.md, and workflows

平台分布

Codex

36.2%
按下载量换算134

Claude

28.98%
按下载量换算108

Cursor

20.93%
按下载量换算78

Gemini CLI

10.43%
按下载量换算39

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/wangdahoo/agent-harness --skill agent-harness 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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