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openclaw-harnessOpenClaw harness 开发

Agent Skill

openclaw-harness 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

4,027

周安装

173

GitHub Stars

公开资料未说明

下载量

1,412
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:openclaw-harness(OpenClaw harness 开发)
来源仓库:https://github.com/lanzhou3/openclaw-harness
安装命令:
openclaw skills install openclaw-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 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 openclaw-harness

简介

OpenClaw harness 是跨会话上下文管理器,支持检查点快照与熵管理。

  • 适用于创建任务上下文、构建验证闭环及长期记忆优化场景。
  • 通过 clawhub 安装后,调用其 API 实现状态保存与恢复。
  • 注意控制内存占用,防止因频繁 GC 影响性能。openclaw-harness 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 使用前应确认是否允许持久化存储或跨会话数据传递。

SKILL.md

name
openclaw-harness
description
Cross-session context manager for AI agents with checkpoint/snapshot, Build-Verify-Fix closure, and entropy management (GC). Use when: (1) creating a task checkpoint before risky work, (2) verifying task completion via harness verify, (3) cleaning up stale checkpoints with harness gc, (4) restoring a previous checkpoint, (5) tracking cross-session progress, or (6) linting agent configuration files (SOUL.md/IDENTITY.md/AGENTS.md).

openclaw-harness

Cross-session context tracking, entropy management, and verification closure for AI agents.

Quick Reference

CommandDescription
harness init [--force]Initialize Harness in current workspace
`harness status [-v\-j\-s]`Show Harness status
harness checkpoint create <label> [--tag <tag>]Create a checkpoint snapshot
harness checkpoint listList all checkpoints
harness checkpoint restore <cp-id> [--force]Restore to a checkpoint
harness checkpoint delete <cp-id>Delete a checkpoint
harness verify [--rule '<json>'] [--exit-code]Run verification checks
harness gc [--dry-run] [--max-cp N] [--max-age N] [--aggressive]Entropy cleanup
harness progress showShow cross-session progress
harness linter [--fix] [--strict]Lint SOUL/IDENTITY/AGENTS files
`harness fix [placeholders\whitespace\trailing\all]`Auto-fix linter issues

Core Workflow

# 1. Initialize (once per workspace)
harness init

# 2. Create checkpoint before risky work
harness checkpoint create "before-refactor"

# 3. Do work, verify
harness verify

# 4. Create another checkpoint when milestone reached
harness checkpoint create "feature-done" --tag "feature"

# 5. Preview cleanup
harness gc --dry-run

# 6. Restore if needed
harness checkpoint restore <cp-id> --force

Safety Rules

  • Never deleted: SOUL.md, IDENTITY.md, USER.md, MEMORY.md, AGENTS.md, TOOLS.md, TASKS.md, .harness/
  • All deletions logged to .harness/gc.log
  • Deleted files archived to .harness/.trash/ before removal

Directory Structure

.harness/                   # Harness state root (created by init)
├── .initialized            # Init marker (version + timestamp)
├── config.json             # Config: max_checkpoints, max_age_days, etc.
├── gc.log                  # Deletion audit log
├── checkpoints/<cp-id>/    # Checkpoint snapshots
│   ├── manifest.json       # Snapshot manifest
│   └── files/              # Snapshot copies
├── reports/                # Verification reports
├── tasks/                  # Task metadata
├── tmp/                    # Temp files (GC target)
└── .agent-progress.json    # Cross-session progress state

Advanced Usage

Custom verification rules:

harness verify --rule '[{"name":"Build OK","type":"command","path":"npm run build"}]'

Checkpoint management:

harness checkpoint create "label" --tag "v1" --tag "stable"
harness checkpoint show <cp-id>

GC with limits:

harness gc --max-cp 5        # Max 5 checkpoints per task
harness gc --max-age 7      # Delete checkpoints older than 7 days
harness gc --aggressive     # Also clean tmp/ directory

Progress tracking:

harness progress show
harness progress set-phase "Phase 2"
harness progress add-blocker "Waiting for API key"

Linter and fix:

harness linter --strict     # Fail on warnings too
harness linter --fix        # Auto-fix issues (creates .orig backups)
harness fix all --dry-run   # Preview all auto-fixes

Detailed Reference

For complete documentation, load the relevant reference:

Scripts

This skill includes helper scripts for skill developers:

  • scripts/init_skill.py — Initialize a new skill from template
  • scripts/package_skill.py — Package and validate a skill into .skill file
# Create a new skill
python scripts/init_skill.py my-new-skill --path /path/to/output

# Package a skill
python scripts/package_skill.py /path/to/skill-folder

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

79.21%
按下载量换算1,118

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

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