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Agent Skill · 研究检索

serena(serena 搜索)

serena 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。

serena 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 33,144。

总安装 2,399周安装 102GitHub Stars 公开资料未说明下载 840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
0.1.1

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:serena(serena 搜索)
来源仓库:https://github.com/juanclaw/serena
安装命令:
openclaw skills install serena
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 serena

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。

在处理具有重要结构的现有软件项目时,尤其是多文件存储库时,请使用 Serena 支持的语义代码导航和编辑。

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 serena;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

serena 怎么安装?

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

serena 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。

serena 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 serena 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。

serena 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。

serena 用的人多吗?

公开数据是累计安装 2,399 次,近一周安装 102 次,下载 840 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。

serena 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
serena

serena 搜索 · 本页

2,399—执行命令MIT-0有提醒

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
serena
description
Use Serena-backed semantic code navigation and editing when working in existing software projects with non-trivial structure, especially multi-file repos where symbol-aware lookup and targeted edits are more reliable and token-efficient than brute-force file reading. Use when the environment exposes Serena tools such as project activation, symbol lookup, reference search, semantic search, file reads, directory listing, file finding, or symbol-scoped edits.

Serena

Use Serena as the first choice for understanding and editing existing codebases when the necessary tools are available.

What this skill is for

Use this skill when another agent needs to integrate Serena into its normal coding workflow instead of treating the repo as a pile of text files.

Aim for this behavior:

  • activate the project once
  • inspect structure semantically before reading large files
  • trace references before editing
  • prefer symbol-scoped edits when possible
  • fall back to normal file tools only when Serena is missing a capability or fails

For extra examples and trigger patterns, read references/integration-patterns.md.

Core workflow

  1. Resolve the target project path.
  2. Call serena_activate_project.
  3. Start with structure discovery:

- serena_project_overview - serena_find_symbol - serena_list_dir - serena_find_file - serena_session_status when you need to inspect active Serena sessions

  1. Narrow scope with:

- serena_find_references - serena_search_pattern - serena_read_symbol - serena_read_file

  1. Prefer semantic edits when changing existing code:

- serena_replace_symbol_body - serena_insert_before_symbol - serena_insert_after_symbol - serena_rename_symbol

  1. Use broader edit tools only when symbol-scoped tools are not a good fit:

- serena_replace_content - serena_create_text_file

  1. Use serena_execute_shell_command only as an advanced escape hatch when project-context shell execution is genuinely the right tool.
  2. Use serena_call_tool only when the normalized surface does not cover the needed Serena capability.
  3. Fall back to ordinary file tools only when Serena cannot answer safely or reliably.

When Serena is worth the overhead

Prefer Serena when:

  • the project spans multiple files
  • the user asks about references, call chains, or symbol relationships
  • the user wants a precise edit to an existing class, function, method, or module
  • reading whole files would be noisy or wasteful
  • the repo already has real structure and semantic lookup is available

Skip or delay Serena when:

  • the task is a tiny one-file change and the target location is already obvious
  • you are creating a brand-new file with little dependency on existing code
  • Serena is unavailable or failing and direct file tools are simpler
  • the user already provided the exact file region and semantic lookup adds no value

Tool preference order

For existing codebases, prefer this order:

  1. serena_activate_project
  2. serena_project_overview / serena_find_symbol / serena_find_file
  3. serena_find_references / serena_search_pattern
  4. serena_read_symbol / serena_read_file
  5. symbol-scoped edit tools
  6. broader Serena edit tools
  7. serena_session_status for session inspection/debugging
  8. serena_execute_shell_command only when semantic tools are not the right mechanism
  9. fallback to read, edit, and exec only when needed

Integration guidance for agent authors

When you want another agent to use Serena well, instruct it to:

  • activate the project before semantic reads or edits
  • inspect symbols and references before modifying code
  • use normalized Serena tools first
  • keep edits narrow and structured
  • avoid whole-file rewrites when a symbol-scoped edit is possible
  • treat passthrough as an escape hatch, not the default workflow

A good instruction pattern is:

Use Serena on the repo. Start with serena_activate_project, then narrow scope with serena_find_symbol, serena_find_references, and serena_read_symbol before editing.

Practical usage patterns

Understand a repo area

Use this sequence:

  1. serena_activate_project
  2. serena_find_file or serena_list_dir
  3. serena_project_overview
  4. serena_find_symbol
  5. serena_read_symbol

Trace impact before changing code

Use this sequence:

  1. serena_find_symbol
  2. serena_find_references
  3. serena_search_pattern if naming or text-level usage matters
  4. serena_read_symbol for the most relevant callers/callees

Make a targeted edit

Use this sequence:

  1. locate the exact symbol
  2. read the symbol body
  3. inspect references if behavior changes could ripple outward
  4. choose the narrowest valid edit tool
  5. re-read the changed symbol or nearby references when confidence is low

Editing rules

  • Keep edits as narrow as possible.
  • Prefer symbol-targeted edits over text replacement across a whole file.
  • Prefer semantic rename over manual multi-file rename logic.
  • Re-read the relevant symbol or references after a material edit when confidence is low.
  • If semantic identity is ambiguous, do not guess; disambiguate using path or extra lookup.
  • In read-only mode, do not attempt mutating Serena tools.

Safety and fallback behavior

If Serena fails:

  1. Explain briefly what failed.
  2. Fall back to standard file-based workflow.
  3. Keep using the smallest possible read/edit scope.
  4. Do not pretend the semantic result was confirmed if it was not.

If a raw Serena passthrough tool is available:

  • use it only when the normalized tool surface does not cover the needed capability
  • prefer stable normalized tools for repeated workflows
  • avoid passthrough for routine actions that already have a clear normalized tool

平台分布

OpenClaw

96.82%
按下载量换算813

安全审计

VirusTotal

可疑

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 serena 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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