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Agent Skill · 研究检索

battle-tested-agent(经过战斗考验的特工)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

battle-tested-agent 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 7,949。

总安装 17,597周安装 705GitHub Stars 公开资料未说明下载 5,696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
1.5.0

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:battle-tested-agent(经过战斗考验的特工)
来源仓库:https://github.com/zurbrick/battle-tested-agent
安装命令:
openclaw skills install battle-tested-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 battle-tested-agent

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。

用于辅助测试设计、自动化测试和回归验证,帮助 Agent 编写单元测试或定位问题。适合需要编写测试用例、分析失败日志或维护测试框架的开发场景。通过 clawhub 安装后,在 OpenClaw 中调用以生成测试计划或执行验证任务。需确认项目测试框架和运行命令,避免修改真实逻辑;涉及浏览器时区分环境使用。

注意权限范围和维护状态,防止误操作生产环境或触发不必要的外部服务调用。

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 battle-tested-agent;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

    它需要需要联网,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

battle-tested-agent 怎么安装?

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

battle-tested-agent 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。

battle-tested-agent 需要什么权限?

权限级别是需要联网。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。

battle-tested-agent 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。

battle-tested-agent 用的人多吗?

公开数据是累计安装 17,597 次,近一周安装 705 次,下载 5,696 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。

battle-tested-agent 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

  • 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

  • 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
battle-tested-agent

经过战斗考验的特工 · 本页

17,597—需要联网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
battle-tested-agent
version
1.5.0
description
>
author
Zye ⚡ (Don Zurbrick)
license
MIT
tags
[production, reliability, memory, compaction, multi-agent, security, self-improvement, heartbeat, delegation, battle-tested]
homepage
https://github.com/zurbrick/battle-tested-agent
metadata
openclaw
emoji
⚔️
requires
bins
["bash", "grep", "find", "wc"]
optionalBins
["openclaw"]

Battle-Tested Agent

19 production-hardened patterns for AI agents. Every one earned from failure.

Use this skill when you are:

  • hardening an agent that will run repeatedly or autonomously
  • tightening memory, verification, or anti-hallucination behavior
  • reducing compaction failures, weak handoffs, or orchestration drift
  • reviewing an agent workspace for missing production patterns
  • debugging why an agent keeps losing context, guessing, or dropping work

Do not use this skill for:

  • persona writing or onboarding polish
  • one-off prompt tweaks with no reusable pattern behind them
  • adding new tools, servers, or runtime capabilities
  • turning a simple workspace into process theater

Default workflow

  1. Audit first

Run bash scripts/audit.sh <workspace> to see which patterns are present. The script checks for all 16 patterns and tells you what to fix first.

  1. Start with the smallest tier that fits

Implement starter patterns first, then intermediate, then advanced. Do not cargo-cult every pattern into every agent.

  1. Patch the actual failure mode

Change the mechanism, not just the wording. "ALWAYS check X" is not a fix — a verification gate is a fix.

  1. Keep patterns lightweight

Add only the pieces that materially reduce failures or operator burden.

Pattern tiers

  • Starter (5): baseline reliability for almost every agent
  • Intermediate (5): daily-driver patterns for briefs, heartbeats, and recurring work
  • Advanced (6): multi-agent orchestration, handoffs, and self-improvement discipline

Pattern clusters

Some patterns reinforce each other naturally. Adopt them together when the failure mode calls for it:

  • Trust chain: WAL Protocol + Anti-Hallucination + Agent Verification — ensures

data is captured, sourced, and measured before reporting

  • Handoff loop: Delegation Rules + Completion Contract + Acceptance Gate + Task State Tracking — prevents

work from disappearing between agents or being certified without proof

  • Survival kit: Working Buffer + Compaction Injection Hardening + Silent Worker Recovery — keeps context

alive across long sessions and prevents silent delegated drift

  • Quality gate: QA Gates + Verify Implementation + Decision Logs — ensures output

quality and traceable reasoning

  • Delegation hardening: Brief Quality Gate + Scoped Verifier Gate — keeps delegation tight without turning the whole system into bureaucracy

When patterns conflict

If two patterns seem to give contradictory advice:

  • Safety patterns win over speed patterns. Ambiguity Gate overrides Simple Path First

when the request is ambiguous. Verify before acting, even if the simple path is obvious.

  • Evidence patterns win over action patterns. Anti-Hallucination overrides "just try it"

when reporting data. Never guess a number to move faster.

Assets — how to use them

The assets/ folder contains starter files you copy into your workspace and customize. They are templates, not drop-in replacements.

# Merge delegation and decision log rules into your existing AGENTS.md
cp assets/AGENTS-additions.md ~/workspace/ # Review, then merge

# Add QA gates
cp assets/QA-gates.md ~/workspace/QA.md

# Set up self-improvement tracking
mkdir -p ~/workspace/.learnings
cp assets/learnings-template.md ~/workspace/.learnings/LEARNINGS.md
cp assets/errors-template.md ~/workspace/.learnings/ERRORS.md
cp assets/features-template.md ~/workspace/.learnings/FEATURE_REQUESTS.md

Read references/audit-usage.md for the full rollout order and bootstrap workflow.

References

  • references/starter-patterns.md — WAL, anti-hallucination, ambiguity, simple-path-first, unblock-before-shelve
  • references/intermediate-patterns.md — verification, working buffer, QA gates, decision logs, verify implementation
  • references/advanced-patterns.md — delegation, brief quality, proof-based handoffs, acceptance gates, orchestration, stale-worker recovery, compaction hardening, recurrence tracking
  • references/audit-usage.md — audit script usage, install/copy snippets, and expected outcomes

Included scripts

  • scripts/audit.sh — workspace audit for all 19 patterns (supports AGENTS.md, CLAUDE.md, SOUL.md, and system.md)

Rules of thumb

  • Audit before expanding
  • Prefer progressive disclosure over giant core files
  • Silence is better than hallucination
  • Ambiguity is a stop sign, not permission
  • The orchestrator should preserve oversight, not sink into implementation
  • Mechanism changes beat wording changes
  • After acting, verify the new state before declaring success
  • Partial progress is not success; recovery steps matter as much as first-attempt steps

Outcome

A leaner, more resilient agent that survives compaction, hands work off cleanly, reports only what is verified, and improves without spiraling into bureaucracy.

平台分布

OpenClaw

81.33%
按下载量换算4,633

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。目前只有一个公开来源,建议同时核对源仓库。

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