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在 OpenClaw 中安装
/install system-repair-expert
功能描述
提供严格按优先级步骤诊断与解决系统、软件、配置及报错问题,结合记忆匹配、官方文档和多来源验证确保方案高效可靠。
安全使用建议
This skill appears coherent for a troubleshooting assistant, but check these before installing:
- Confirm how your Clawd platform provides web_search (Brave) and memory services and whether any external API keys are managed by the platform (the skill itself doesn't request keys).
- Confirm whether the skill will persistently store case data in your memory system; SKILL.md says it will store/update memory but the manifest/code don't clearly show memory-write—ask the author or platform what memory permissions will be granted.
- The skill promises to ask for explicit consent before generating or running any repair scripts; be sure the agent prompts you and you never allow script execution without reviewing the script and rollback steps.
- Avoid sending sensitive secrets (passwords, private keys) in logs—provide only the information necessary for debugging.
- If you plan to publish any created skills to a hub, review them for accidental exposure of credentials or hard-coded endpoints.
If you want, I can extract the exact lines that mention memory-write and the lines in the manifest/package.json that differ so you can ask the author specific questions.
功能分析
Type: OpenClaw Skill
Name: system-repair-expert
Version: 1.0.0
The skill is classified as suspicious due to its inherent high-risk capabilities, specifically the instructions in `SKILL.md` for the AI agent to '调用内置的「创建/编写 Skill」能力' (call the built-in 'create/write Skill' capability) and '编写一次性修复脚本/命令' (write one-time fix scripts/commands). While these capabilities are presented with explicit safety guardrails, user consent requirements, and are framed as a last resort for legitimate system repair, they represent powerful actions that, if misused or exploited, could lead to unauthorized code execution or skill creation. The `CLAWDHUB_MANIFEST.json` also declares `file_system_read` capability, which, while plausible for a repair expert, adds to the overall risk profile.
能力评估
Purpose & Capability
The skill is titled 'system-repair-expert' and contains step-by-step troubleshooting instructions, web_search and memory_search integrations, and an implementation file that calls web_search. Requested capabilities (internet search, memory lookup) align with the stated purpose.
Instruction Scope
SKILL.md instructs the agent to gather user-provided logs, error text, screenshots, environment info and to consult memory and web search; it explicitly requires user consent before writing or running one-off fix scripts. This scope is appropriate for troubleshooting, but the skill also states it will 'store' the repair process in memory—the implementation (integration.js) does not perform memory writes itself, so there's a small mismatch between written instructions and code behavior.
Install Mechanism
No install spec or external downloads are present; the skill is instruction-only with a small integration.js file. This minimizes disk-write/install risk.
Credentials
The skill does not request any environment variables or secrets. It references using a 'Brave API' via the web_search tool; that is expected to be provided by the platform and so the skill itself not requesting API keys is reasonable. One minor inconsistency: SKILL.md describes storing/updating memory, but the manifest lists memory capabilities as 'memory_recall' and the code does not perform memory writes—confirm whether the runtime will grant memory write access before enabling persistent storage of cases.
Persistence & Privilege
always:false and no indications of modifying other skills or system-wide settings. The skill expects to read user-supplied logs and to use platform search and memory services; this is consistent with a troubleshooting assistant and does not request elevated or persistent agent-wide privileges.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install system-repair-expert - 安装完成后,直接呼叫该 Skill 的名称或使用
/system-repair-expert触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
FixClawd v1.0.0 初始发布
- 严格分步系统修复流程,新增第0步「记忆模式匹配」优先查找历史案例,提升诊断速度和准确率。
- 集成多阶段认知处理pipeline,支持问题分类、复杂度评估、置信度及风险评估。
- 标准化官方文档、ClawdHub技能与GitHub源码多路径解决建议及置信度标注流程。
- 明确执行优先级:官方方案 > ClawdHub技能 > GitHub修复 > 一次性脚本(最后手段)。
- 回答结构与风格规范,强调每步状态说明、信息缺失即停止推进并追问。
- 增强记忆系统支持:模糊匹配、案例存储、模式识别,持续优化推荐。
- 明确技能适用场景及触发条件,实现可复用、可演进的专业系统修复助手。
元数据
常见问题
system-repair-expert 是什么?
提供严格按优先级步骤诊断与解决系统、软件、配置及报错问题,结合记忆匹配、官方文档和多来源验证确保方案高效可靠。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2027 次。
如何安装 system-repair-expert?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install system-repair-expert」即可一键安装,无需额外配置。
system-repair-expert 是免费的吗?
是的,system-repair-expert 完全免费(开源免费),可自由下载、安装和使用。
system-repair-expert 支持哪些平台?
system-repair-expert 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 system-repair-expert?
由 xqicxx(@xqicxx)开发并维护,当前版本 v1.0.0。
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