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Agent Skill · 研究检索

lean-claude-code-harness(lean Claude 代码 harness)

lean-claude-code-harness 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

lean-claude-code-harness 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 20,371。

总安装 5,239周安装 214GitHub Stars 公开资料未说明下载 1,678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
MIT-0
版本
1.0.1

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:lean-claude-code-harness(lean Claude 代码 harness)
来源仓库:https://github.com/aznikline/lean-claude-code-harness
安装命令:
openclaw skills install lean-claude-code-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 lean-claude-code-harness

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

优化 AI 编码代理工具配置与权限管理机制。特别适用于运行时配置不明确时的审核与简化操作。帮助提升工具链安全性与执行效率。lean-claude-code-harness 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

安装命令:openclaw skills install lean-claude-code-harness。需评估当前工具权限是否足以支撑其运行需求。

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 OpenClaw;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 openclaw skills install lean-claude-code-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

lean-claude-code-harness 怎么安装?

在终端执行 openclaw skills install lean-claude-code-harness。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lean-claude-code-harness 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

lean-claude-code-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 openclaw skills install lean-claude-code-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。

lean-claude-code-harness 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

lean-claude-code-harness 用的人多吗?

公开数据是累计安装 5,239 次,近一周安装 214 次,下载 1,678 次。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。

lean-claude-code-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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 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。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
lean-claude-code-harness

lean Claude 代码 harness · 本页

5,239—执行命令MIT-0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

name
lean-claude-code-harness
description
Use when building, auditing, or simplifying an AI coding-agent harness, especially when the current runtime has unclear config precedence, weak tool permissions, hidden product-only behavior, or poor transcriptability.
metadata

Lean Claude Code Harness

Distill the durable parts of Claude Code into a smaller, auditable harness. The goal is not feature parity. The goal is a runtime another engineer can understand, extend, and verify without reverse-engineering hidden behavior.

When to Use

Use this skill when a coding-agent runtime shows any of these symptoms:

  • config values are hard to trace
  • tool permissions are implicit or inconsistent
  • the tool surface keeps growing without clear ownership
  • session history disappears after a run
  • the main loop is hard to sketch from memory
  • product-only logic is mixed into the harness core

Keep These Primitives

  • layered configuration
  • permission-aware tool execution
  • a small explicit tool registry
  • markdown skill discovery
  • transcript persistence
  • a visible query loop

Remove These By Default

  • telemetry
  • remote-managed settings
  • hidden kill-switches
  • private feature flags
  • branding-specific branches
  • heavyweight UI layers

Only add them back when the user explicitly asks for them and can explain the operational need.

Quick Audit

If you need a fast harness review, answer these six questions first:

  1. Can you explain config precedence without reading three files?
  2. Are tool permissions checked before execution?
  3. Can you list the built-in tools in one screen?
  4. Are skills discovered from visible files instead of hidden registration?
  5. Does every run persist a transcript?
  6. Can you trace the query loop from prompt to final response?

If two or more answers are "no", the harness is already too opaque.

Apply This Order

1. Freeze the Runtime Boundary

Keep the entrypoint thin. It should only:

  • parse commands
  • load merged config
  • wire services
  • print results

Do not hide business logic in the CLI layer.

2. Make Config Precedence Explicit

Use a predictable merge order:

  1. defaults
  2. user config
  3. project config
  4. local config
  5. environment overrides

If a runtime value cannot be traced back to one of these sources, the harness is already drifting into opacity.

3. Gate Tools Before Execution

Define permission policy before the query loop runs tools.

Minimum pattern:

  • default and plan expose read-only tools
  • write or shell tools require a stronger mode
  • bypassPermissions should be explicit and rare

Permission checks belong before tool execution, not after damage is already possible.

4. Start with a Tiny Tool Surface

Default tool set should be boring and legible:

  • list_files
  • read_file
  • grep
  • bash

Do not add tools because the upstream product has them. Add tools only when they expand capability without making the harness harder to reason about.

5. Keep Skills File-Backed

Discover skills from SKILL.md files with frontmatter metadata. Avoid hidden registration layers, magic imports, or remote skill switches.

The discovery rule should be explainable in one sentence: scan configured directories, parse frontmatter, expose name, description, and path.

6. Persist Every Session

Save transcripts to disk. Each transcript should include:

  • session id
  • timestamp
  • prompt
  • tool steps
  • final response

If an agent run cannot be inspected afterward, debugging and trust both degrade.

7. Keep the Query Loop Visible

The harness should make this loop easy to trace:

  1. receive prompt
  2. ask provider for next action
  3. validate tool request
  4. execute tool
  5. append tool result to state
  6. repeat until final response
  7. persist transcript

If you cannot sketch the loop from memory, the runtime is already too opaque.

Anti-Patterns

  • cloning upstream complexity without upstream context
  • mixing config loading, permission logic, and tool execution in one file
  • treating remote flags as architecture instead of distribution policy
  • adding analytics before the harness can explain itself locally
  • claiming a harness is complete without transcript and permission tests

Minimal Verification

Before calling the harness usable, verify:

  • config precedence behaves as documented
  • permission modes actually filter tools
  • skill discovery finds real SKILL.md files
  • session persistence writes and reloads transcripts
  • the full query loop works with a deterministic provider

The verification standard is simple: no claims about the harness until the config, permission, skills, session, and loop seams are each exercised once.

Use This Skill To

  • design a fresh coding-agent harness
  • simplify a bloated Claude Code-style runtime
  • review an existing agent runtime for opacity and unnecessary layers
  • extract reusable harness patterns from a larger codebase

Do Not Use This Skill To

  • recreate the full Claude Code product surface
  • justify hidden behavior with “that is how the upstream does it”
  • add cloud control planes, telemetry, or feature flags without a concrete requirement

Output Standard

When applying this skill, produce:

  • the minimal harness shape
  • the layers kept vs removed
  • the exact config precedence
  • the permission model
  • the smallest verification plan that proves the harness is real

平台分布

OpenClaw

82.44%
按下载量换算1,383

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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 openclaw skills install lean-claude-code-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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