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skill-shell技能外壳

Agent Skill

skill-shell 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

14,832

周安装

622

GitHub Stars

公开资料未说明

下载量

4,656
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-shell(技能外壳)
来源仓库:https://github.com/g-hanasq/skill-shell
安装命令:
openclaw skills install skill-shell
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-shell

简介

在安装外部技能前进行评估,决定是否安装、拒绝或吸收有用想法。

  • 适用于用户共享 ClawHub/GitHub 链接时的初步筛选决策。
  • 通过 clawhub 安装,使用 openclaw skills install skill-shell 命令。
  • 需确认权限范围和维护状态,避免触发联网或命令执行。
  • 建议结合来源仓库与原始 README 进一步核验具体用法。

SKILL.md

name
skill-shell
description
Evaluate external skills before installation and decide whether to install, reject, or absorb only the useful ideas. Use when a user shares a ClawHub/GitHub skill link, asks whether a skill is worth installing, asks for a code/safety review before installation, or wants to compare a skill's workflow with the current OpenClaw workflow.

Skill Shell

Use this skill to gate external skills before they enter the current OpenClaw workflow.

Core rule

Do not treat every published skill as worth installing. First decide what problem the user is actually trying to solve. Then inspect the package, judge the risks, and decide one of three outcomes:

  1. Install candidate
  2. Review-only / absorb ideas
  3. Reject / do not install

Preferred workflow

  1. Clarify the real capability the user wants.
  2. Classify the skill type before judging it.
  3. Inspect the package contents, not just the landing page.
  4. Separate static review from dynamic validation.
  5. Check whether it fits the current OpenClaw workflow or drags in another ecosystem.
  6. Check whether it adds ongoing token cost, hooks, background behavior, or unstable config changes.
  7. Check environment landing zone and validation level: shell, gateway, LaunchAgent, cron.
  8. Explain the recommendation in plain language.
  9. Install only after explicit user approval.

Skill type classification

Classify the candidate into one primary type before making a recommendation:

  • Capability skill: adds a concrete new capability (search, extraction, automation, generation, file handling)
  • Integration skill: depends on credentials, env vars, services, or runtime placement to become usable
  • Automation skill: controls browsers, CLIs, workflows, or long-running operational behavior
  • Workflow / methodology skill: mostly guidance, process, prompts, or ways of thinking
  • Shell / incomplete skill: mostly docs/meta, or promises code/assets that are not actually present

Different types require different scrutiny. Do not evaluate them all with one generic standard.

Static review vs dynamic validation

Static review

Static review asks:

  • what files are actually present
  • whether docs match the package
  • what dependencies and scripts exist
  • whether the package looks coherent or misleading
  • whether Codex should be used for a deeper read-only audit

Static review is often safe to delegate to Codex.

Dynamic validation

Dynamic validation asks:

  • does it really install
  • does it actually run
  • which environment layers can use it
  • does it work in current shell, main agent, gateway, LaunchAgent, cron
  • does it rely on runtime downloads, browser binaries, proxies, daemons, or service state

Dynamic validation must be owned and finalized by the main agent before something is called fully usable.

Environment sensitivity levels

Use these levels when judging readiness:

  • L1: current shell only
  • L2: main agent session
  • L3: gateway / LaunchAgent / service environment
  • L4: cron / automation / unattended runs

A skill is not "fully ready" unless it has passed the level actually required by the user's use case.

What to favor

Favor skills that:

  • add a concrete capability
  • can be verified locally
  • have understandable dependencies
  • fit the user's current workflow
  • improve execution more than they increase complexity

What to distrust

Distrust skills that:

  • are mostly docs or prompt shells
  • claim code that is not present
  • mainly redirect to another package manager or ecosystem
  • add hooks, auto-reminders, or background behavior without clear value
  • increase token usage more than they improve outcomes

Reject immediately or escalate hard if static review finds any of these red flags:

  • curl / wget to unclear or unrelated endpoints
  • unexplained data exfiltration to external servers
  • requests for credentials, tokens, API keys, browser cookies, or sessions
  • reads of ~/.ssh, ~/.aws, ~/.config, or similar credential locations without a very clear reason
  • reads of MEMORY.md, USER.md, SOUL.md, or IDENTITY.md from outside the normal workspace purpose
  • eval(...) / exec(...) with external or untrusted input
  • unexplained base64 decode / encoded payload execution / obfuscated code
  • network calls to raw IPs instead of understandable domains
  • silent package installs or background downloads not clearly documented
  • writes or modifications outside the workspace without explicit need
  • requests for elevated / sudo privileges

Promotion rule

When a reviewed skill has useful ideas but poor packaging, do not install it by default. Instead, absorb the useful parts into the local workflow:

  • behavioral patterns -> SOUL.md
  • workflow rules -> AGENTS.md
  • tool gotchas -> TOOLS.md
  • session-specific lessons -> memory/YYYY-MM-DD.md

Typical examples of "absorb, don't install":

  • good red-flag lists
  • trust heuristics
  • repo vetting commands
  • review templates
  • decision labels that improve reporting but do not require a separate skill

Checklist

Read references/checklist.md when evaluating a candidate skill.

Output style

Report with this structure:

  • conclusion
  • skill type
  • source / version / visible popularity signals
  • static review result
  • dynamic validation required or not
  • environment sensitivity level
  • what it really does
  • what is actually in the package
  • red flags (if any)
  • risks
  • fit with current workflow
  • recommendation

Preferred recommendation labels:

  • install
  • install, but require dynamic validation
  • absorb ideas only
  • postpone
  • reject

When helpful, also classify overall risk as:

  • LOW
  • MEDIUM
  • HIGH
  • EXTREME

Keep the answer direct. Prefer decision quality over enthusiasm.

Attribution

  • Author: 石屹
  • For: 加十
  • Affiliation: 为加十工作流设计
  • Note: built for 加十

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

83.05%
按下载量换算3,867

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。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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