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skillnavskillnav 搜索

Agent Skill

skillnav 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

4,284

周安装

175

GitHub Stars

公开资料未说明

下载量

1,386
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:skillnav(skillnav 搜索)
来源仓库:https://github.com/huiw86/skillnav
安装命令:
openclaw skills install skillnav
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 skillnav

简介

使用安装命令搜索 3,900 多个 MCP 服务器,获取每日 AI 简介,并发现中文趋势工具。数据来自 Skillnav.dev 编辑团队。

SKILL.md

<!-- skill_version: 2.0.0 -->


name: skillnav description: "Search 3,900+ MCP servers with install commands, get daily AI brief, query papers, search everything, and discover trending tools — in Chinese. Data from skillnav.dev editorial team." version: 2.0.0 argument-hint: "brief | mcp <keyword> | search <keyword> | paper <id|keyword> | trending | update" allowed-tools: WebFetch, Bash metadata: openclaw: emoji: "🧭" homepage: https://github.com/skillnav-dev/skillnav-skill requires: bins: - curl


Route based on $ARGUMENTS[0]:

CommandAction
briefIf $ARGUMENTS[1] is "papers", "news", or "tools": WebFetch https://skillnav.dev/api/skill/query?type=brief&section=$ARGUMENTS[1]. Otherwise: WebFetch https://skillnav.dev/api/skill/query?type=brief
mcpWebFetch https://skillnav.dev/api/skill/query?type=mcp&q=$ARGUMENTS[1]
searchWebFetch https://skillnav.dev/api/skill/query?type=search&q=$ARGUMENTS[1..] (join remaining args with space, URL-encode)
paperIf $ARGUMENTS[1] matches arXiv ID pattern (YYMM.NNNNN): WebFetch https://skillnav.dev/api/skill/query?type=paper&id=$ARGUMENTS[1]. Otherwise: WebFetch https://skillnav.dev/api/skill/query?type=paper&q=$ARGUMENTS[1]
trendingWebFetch https://skillnav.dev/api/skill/query?type=trending
updateBash: curl -sL https://raw.githubusercontent.com/skillnav-dev/skillnav-skill/main/SKILL.md -o ~/.claude/skills/skillnav/SKILL.md && echo "SkillNav Skill updated."
(other)Show usage message — do NOT fetch any URL

If $ARGUMENTS is empty or does not match any command above, show this usage message and STOP (do NOT fetch any URL):

SkillNav — AI 开发者工具站 (skillnav.dev)

  /skillnav brief              今日 AI 日报
  /skillnav mcp <keyword>      搜索 MCP Server
  /skillnav search <keyword>   搜索文章、工具、概念
  /skillnav trending           本周热门工具
  /skillnav paper <arxiv-id>   查看论文详情
  /skillnav update             更新到最新版本

Format Rules

Version check

After every API response, compare meta.skill_version from the response with this file's version (2.0.0). If the API version is newer, append at the very end of your output:

💡 SkillNav Skill 有新版本可用 — /skillnav update

brief (full or section-filtered)

If section field is absent (full brief), format as:

  1. TL;DR: One bold sentence summarizing the headline
  2. Headline title with > why_important in blockquote
  3. Bulleted highlights, each with editor comment in parentheses
  4. If papers array is non-empty, show "论文速递":

- {title} {attitude} {what} > {implication}

  1. If is_fallback is true: "(注意:这是 {date} 的日报,今日暂无更新)"
  2. Footer: "完整日报 → {url}"

If section is "papers", format papers only:

  1. Header: "论文速递 · {date}"
  2. For each paper:

{title} {attitude} {what} > {implication} 趋势:{trend} → arXiv: {url}

  1. Footer: "完整日报 → {url}"

If section is "news", format highlights only:

  1. Header: "行业动态 · {date}"
  2. Headline (if non-empty): {headline.title} — {headline.why_important}
  3. Bulleted highlights with editor comments
  4. Footer: "完整日报 → {url}"

mcp

Format each result as a numbered list with one blank line between items:

  1. {name} {category} ⭐ {stars}

{description_zh} > {editor_comment_zh}

   {install_command}

If editor_comment_zh is null, skip the blockquote line. If results are empty: "未找到匹配的 MCP Server,试试更宽泛的关键词。" Footer: "共 {returned} 个结果{has_more ? '(更多结果请访问 skillnav.dev)' : ''}"

search

Group results by result_type in this order: concept > mcp > skill > article.

Concept: {term}({zh})— {one_liner} → {url}

MCP / Skill: {name} ⭐ {stars} — {description_zh} > {editor_comment_zh}

  {install_command}

If editor_comment_zh is null, skip the blockquote line. If install_command is null, skip the code block.

Article: {title_zh} ({source}, {reading_time}min) {summary_zh} → {url}

If results are empty: "未找到与 "{query}" 相关的内容,试试其他关键词。" Footer: "共 {returned} 个结果"

trending

Format as a ranked list grouped by tool_type:

MCP Server

  1. {name} ⭐ {stars} (+{weekly_stars_delta} this week)

> {editor_comment_zh}

Skill

  1. {name} ⭐ {stars} (+{weekly_stars_delta} this week)

> {editor_comment_zh}

If a group has no items, omit it entirely.

paper (single by ID)

If has_translation is true:

  1. {translation.title_zh} {brief_card.attitude} (if brief_card exists)
  2. If brief_card exists: {brief_card.what}

> {brief_card.implication}

  1. "已有完整中文翻译 → {translation.url}"

If has_translation is false:

  1. If brief_card exists:

{brief_card.title} {brief_card.attitude} {brief_card.what} > {brief_card.implication} 趋势:{brief_card.trend}

  1. If no brief_card: "未找到该论文的导读信息。"
  2. "arXiv 原文 → {arxiv_url}"

paper (keyword search)

  1. Header: "论文搜索 · 最近 {days} 天 · "{query}""
  2. For each result:

{title} {attitude} · {date} {what} > {implication} → arXiv: {url}

  1. If results are empty: "最近 {days} 天未找到与 "{query}" 相关的论文。"
  2. Footer: "共 {returned} 篇结果"

Global Footer

Append this line at the very end of EVERY output (after all content, after version check if present):

— SkillNav · skillnav.dev

Error Handling

  • If WebFetch fails or returns non-JSON: "SkillNav API 暂时不可用,请直接访问 skillnav.dev"
  • If API returns { "error": ... }: Show the message field to the user
  • NEVER fabricate data or suggest keywords that weren't in the response

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

75.34%
按下载量换算1,044

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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