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Agent Skill · 研究检索

best-skill-recommendations(最佳技能推荐)

best-skill-recommendations 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。

best-skill-recommendations 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 12,255。

总安装 10,440周安装 435GitHub Stars 公开资料未说明下载 3,480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
0.2.2

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:best-skill-recommendations(最佳技能推荐)
来源仓库:https://github.com/zhaowh3613/best-skill-recommendations
安装命令:
openclaw skills install best-skill-recommendations
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 best-skill-recommendations

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。

根据用户目标智能推荐最合适的技能组合方案。综合评估候选人能力匹配度与技能间冲突风险。帮助避免重复安装或功能重叠的技能模块。best-skill-recommendations 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

安装命令:openclaw skills install best-skill-recommendations。建议在安装前核对当前已装技能列表以防冗余。

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 best-skill-recommendations;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

    它需要接触敏感数据,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

best-skill-recommendations 怎么安装?

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

best-skill-recommendations 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。

best-skill-recommendations 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

best-skill-recommendations 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。

best-skill-recommendations 用的人多吗?

公开数据是累计安装 10,440 次,近一周安装 435 次,下载 3,480 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。

best-skill-recommendations 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
best-skill-recommendations

最佳技能推荐 · 本页

10,440—接触敏感数据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
best-skill-recommendations
description
Based on user goals, comprehensively evaluate candidate skill capabilities and conflict risks with installed skills, then deliver the best install recommendation. | 根据用户需求,综合评估候选技能的能力匹配度与已安装技能的冲突风险,给出最佳安装推荐

Best Skill Recommendations

Primary role: Evaluate and recommend skills already discovered by an upstream skill search. Only when no upstream results exist does this skill independently search clawhub, then apply the same evaluation logic.

Prerequisites

Before this skill can operate, confirm the following:

  • clawhub CLI is installed and available in the agent's PATH. This skill issues clawhub search, clawhub list, clawhub install, and clawhub uninstall commands. If the binary is absent, all discovery and install steps will fail.
  • Authentication: Run clawhub login in advance. The clawhub CLI stores credentials in its own default config path (managed by the CLI, not by this skill). No additional environment variables are required by this skill.
  • Permissions in scope: This skill will only:

1. Read the installed skill list via clawhub list (read-only). 2. Run clawhub install <skill> or clawhub uninstall <skill> — only after explicit user confirmation at the Pre-Install Gate (Step 5). It will not access other system files, credentials, or APIs beyond the clawhub CLI.

Mandatory Store Policy

  1. Prefer upstream results first. If any upstream skill search has already returned candidates, use those directly — do not re-search.
  2. Only when no upstream candidates exist: search clawhub directly.
  3. Never claim exclusivity; both public and private registries are valid.
  4. Before install, always summarize source, version, and notable risk signals.
  5. If a fresh search is needed, run clawhub search <keywords> and report output before evaluating.

Auto-Trigger and Collaboration

  • Preferred entry: triggered after an upstream skill search has already produced a candidate list. Reuse those results directly.
  • Standalone entry: triggered when the user asks to recommend/install/compare skills but no upstream results exist. In this case, independently search clawhub and produce candidates before evaluating.
  • Never re-search if usable upstream candidates are already available.

Workflow

0) Check for Upstream Candidates (first)

Before doing anything else:

  • If an upstream skill search has already returned a candidate list → skip to Step 2 using those results.
  • If no upstream candidates exist → proceed to Step 1.

1) Self-Discover (only when no upstream results)

Clarify the user's need:

  • target task(s)
  • priority (speed/stability/features/safety)
  • constraints (region, cost, runtime)

Then search via clawhub:

clawhub search <keywords>

Return the command output and build a candidate list annotated with source and version.

2) Evaluate Candidates

Present the candidate list (from upstream or self-discovered), annotated with source and version.

3) Evaluate Installed Skills and Compatibility

Enumerate installed skills by running:

clawhub list

Parse the output to get the current installed skill set. Compare each installed skill against candidates:

  • overlap: full / partial / complementary
  • conflict risk: command/workflow collision, duplicated automation, behavior mismatch
  • coexist feasibility: high / medium / low

4) Recommend Replace vs Coexist

Per candidate, output one decision:

  • Replace existing skill(s)
  • Coexist with boundaries
  • Do not install

Include reasons and trade-offs.

5) Pre-Install Gate (required)

Before any install action, present:

  • source (clawhub)
  • version
  • notable risk signals — check for any of the following:

- install count < 10 (low adoption) - last update > 6 months ago (low maintenance signal) - requires broad file system or network permissions - published < 2 weeks ago (very new, unvetted) - no author URL or verified identity

  • replace/coexist plan

Then explicitly ask for user confirmation.

6) Install Execution

  • clawhub install <skill>
  • If replace approved: uninstall old first, then install new.
  • If coexist: install and provide usage boundary guidance.

7) Post-Install Report

Return:

  • install/uninstall result
  • final active skill set
  • why this is best for the user goal
  • follow-up checks

Output Format

Candidate Summary

  • Name
  • Purpose
  • Source
  • Version
  • Install Count (if available)
  • Link

Decision Summary

  • Best choice (Top 1)
  • Alternatives (Top 2/3)
  • Replace/Coexist decision
  • Why not other options

Pre-Install Confirmation

"Planned action: <install/replace/coexist>. Source: clawhub. Version: <...>. Risks: <...>. Proceed?"

Guardrails

  • Never install without explicit confirmation.
  • Prefer fewer, higher-confidence recommendations over long noisy lists.
  • If search quality is poor, refine keywords and re-run search before recommending.

平台分布

OpenClaw

75.89%
按下载量换算2,641

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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