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skill-extractor技能提取器

Agent Skill

skill-extractor 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。

总安装

3,528

周安装

150

GitHub Stars

公开资料未说明

下载量

1,236
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:skill-extractor(技能提取器)
来源仓库:https://github.com/seph1709/skill-extractor
安装命令:
openclaw skills install skill-extractor
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 skill-extractor

简介

将已安装的 OpenClaw 技能打包为可共享的 ZIP 文件。

  • 适合导出技能结构、生成 STRUCTURE.md 供他人复用或审计。
  • 自动检测外部依赖并暂存运行时文件,提升技能移植性。
  • 执行前应确认目标路径可写,避免覆盖重要数据。
  • 建议在非生产环境测试导出结果完整性。skill-extractor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
skill-extractor
description
Export any installed OpenClaw skill into a shareable ZIP: detects & stages external runtime files, generates STRUCTURE.md for LLM-guided install. Reads and packages local files only — no network calls, no APIs, no external transmissions.
metadata
{"openclaw":{"emoji":"📦"}}

skill-extractor

Package any installed OpenClaw skill into a clean, shareable ZIP. External runtime files referenced in SKILL.md are detected, staged under _external/, and documented — so a new install knows exactly where every file belongs and can reproduce full functionality.

All file operations are local only. Nothing is transmitted anywhere. The user confirms what gets included before anything is zipped.

Agent Rules

  • Always list available skills before asking for selection (unless skill name is already given)
  • Always work on a staging copy — never modify the original skill directory or any external paths
  • Always show the user what external files were found and get explicit confirmation before zipping
  • Files are packaged as-is — values are not modified. Inform the user that sensitive files (credentials, tokens) will be included with their real values and should be reviewed before sharing
  • If an external file doesn't exist on disk yet (runtime-generated), document it as "created at runtime" — do not error
  • Generate STRUCTURE.md inside the staging folder before zipping
  • Default ZIP output: the user's Desktop — confirm with user first
  • If ZIP already exists at target, overwrite it
  • Clean up staging after a successful ZIP
  • If any step fails, leave staging intact and report clearly

Step 1 — List Available Skills

Scan all known OpenClaw skill locations (workspace skills folder, user-local skills folder, and the bundled npm package skills folder) for subdirectories that contain a SKILL.md. Present the list with skill name and source. Ask which to export.


Step 2 — Locate Skill

Find the skill folder by name. If not found, report and stop.


Step 3 — Stage Skill Files

Create a hidden temp staging folder inside the workspace named after the skill. Copy all files from the skill directory into it. Originals are never touched.


Step 4 — Detect External Files

Read the SKILL.md from the original skill directory. Extract all path-like strings that begin with a user home or app-data prefix (home dir shorthands and platform app-data equivalents). Resolve each to an absolute path.

For each path:

  • If it is a file that exists: add it to the external files list.
  • If it is a directory that exists: add all files inside it recursively to the list.
  • If it doesn't exist yet: record it as a "created at runtime" entry.

Do not copy anything yet. Build the list first — it goes to the user for review in the next step.


Step 5 — Confirm with User

Present the user with everything that will be included in the ZIP:

  1. All files from the skill directory
  2. The full list of detected external files with their resolved paths

Clearly warn: "These files will be packaged with their real values — including any credentials, tokens, or sensitive config. Review before sharing the ZIP."

Ask: *"Proceed with packaging these files?"*

  • If yes: stage the external files into _external/, mirroring the directory structure relative to the user's home, then continue.
  • If no: abort and clean up staging. Do not create a ZIP.

Step 6 — Generate STRUCTURE.md

Write STRUCTURE.md into the staging dir with these sections in order:

Header — skill name, generation timestamp, one-line purpose statement.

Folder Layout — ASCII tree of the staging dir. Directories before files at each level, both sorted alphabetically. Use standard tree connectors (├──, └──, ). Directory names end with /.

File Descriptions table — two columns: relative file path and one-line purpose. Describe each file by what it does rather than its type. Well-known skill files have fixed descriptions:

FileDescription
SKILL.mdMain skill instructions. The LLM agent reads this to understand purpose, setup, and usage.
_meta.jsonClawhHub registry metadata: version, owner, credential paths, persistence info.
STRUCTURE.mdThis file. Auto-generated folder map and install guide.
Any other fileInfer purpose from filename, location, and content — describe what it does in plain English.

External Files table — only if external files were detected. Three columns: file path inside the ZIP | target install path on the machine | notes. Determine the notes value by this logic:

ConditionNotes
Path suggests credentials or configPackaged with real values — review before sharing.
Path suggests a worker or background scriptExtracted from SKILL.md at runtime — included here for reference.
Path suggests a log, pid, or state fileRuntime-generated. Recreated automatically on first run.
File did not exist at export timeNot present at export — created automatically when the skill runs.
Anything elseExternal runtime file. Review SKILL.md for usage.

Follow the table with a brief note on how to place _external/ files at their target paths on both Windows and Unix systems.

Install Instructions — three options:

  • Option A: install via ClawhHub if the skill is published
  • Option B: manual — copy the skill folder into the workspace skills directory, place any _external/ files at their target paths, confirm with openclaw skills list
  • Option C: local clawhub install, then handle _external/ files manually

Footer — credit line linking to the skill on ClawhHub.


Step 7 — Zip and Deliver

Confirm the output path with the user (default: the user's Desktop). Remove any existing ZIP at that path first. Compress the staging dir. Report the saved path and file size. Delete the staging folder.


Error Reference

ProblemCauseFix
Skill not foundName mismatchCheck spelling; run openclaw skills list
Access denied on copyFile ownership issueRun as admin or check permissions
ZIP creation failsDisk full or missing compression supportFree space or update runtime
Staging not cleanedZIP step failedDelete the staging folder inside the workspace manually
External file missingRuntime-generated, not yet createdSafe to skip — document as "created at runtime"
User declined confirmationSensitive files flagged by userAbort — no ZIP created, staging cleaned up

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

94%
按下载量换算1,162

安全审计

VirusTotal

可疑

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。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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