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felo-x-search费洛 x 搜索

Agent Skill

felo-x-search 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

15,491

周安装

625

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下载量

5,191
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:felo-x-search(费洛 x 搜索)
来源仓库:https://github.com/wangzhiming1999/felo-x-search
安装命令:
openclaw skills install felo-x-search
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 felo-x-search

简介

felo-x-search 使用 Felo X 搜索 API 检索 X (Twitter) 数据。

  • 适合在 OpenClaw 中查询用户、推文、话题或回复信息。
  • 通过 openclaw skills install felo-x-search 命令安装。
  • 需确认权限范围及是否涉及外部 API 调用或敏感操作。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
felo-x-search
description
Search X (Twitter) data using Felo X Search API. Use when users ask about X/Twitter users, tweets, trending topics on X, tweet replies, or when explicit commands like /felo-x-search are used. Supports user lookup, user search, user tweets, tweet search, and tweet replies.

Felo X Search Skill

When to Use

Trigger this skill when the user wants to:

  • Look up X (Twitter) user profiles by username
  • Search for X users by keyword
  • Get tweets from a specific X user
  • Search tweets by keyword or advanced query
  • Get replies to specific tweets

Trigger keywords (examples):

  • English: twitter, tweet, X user, X search, tweets from, replies to, trending on X
  • 简体中文: 推特, 推文, X用户, X搜索, 推文回复
  • 日本語: ツイッター, ツイート, Xユーザー, X検索

Explicit commands: /felo-x-search, "search X", "search twitter"

Do NOT use for:

  • General web search (use felo-search)
  • Webpage extraction (use felo-web-extract)
  • Generating slides (use felo-slides)

Setup

1. Get API key

  1. Visit felo.ai
  2. Open Settings -> API Keys
  3. Create and copy your API key

2. Configure environment variable

Linux/macOS:

export FELO_API_KEY="your-api-key-here"

Windows PowerShell:

$env:FELO_API_KEY="your-api-key-here"

How to Execute

Option A: Use the bundled script or packaged CLI

Packaged CLI (after npm install -g felo-ai):

felo x [query] [options]

Script (from repo):

node felo-x-search/scripts/run_x_search.mjs [query] [options]

Usage Pattern

The x command uses parameter combinations to infer intent — no subcommands needed.

With query (search mode):

UsageBehavior
felo x "AI news"Search tweets (default)
felo x -q "AI news"Same as above
felo x "OpenAI" --userSearch users

With --id (lookup mode):

UsageBehavior
felo x --id "1234567890"Get tweet replies (default)
felo x --id "elonmusk" --userGet user info
felo x --id "elonmusk" --user --tweetsGet user tweets

Options

OptionDescription
[query]Positional arg, search keyword (equivalent to -q)
-q, --query <text>Search keyword
--id <values>Tweet IDs or usernames (comma-separated)
--userSwitch to user mode
--tweetsGet user tweets (with --id --user)
-l, --limit <n>Number of results
--cursor <str>Pagination cursor
--include-repliesInclude replies (with --tweets)
--query-type <type>Query type filter (tweet search)
--since-time <val>Start time filter
--until-time <val>End time filter
-j, --jsonOutput raw JSON
-t, --timeout <seconds>Timeout in seconds (default: 30)

Option B: Call API with curl

# Search tweets
curl -X POST "https://openapi.felo.ai/v2/x/tweet/search" \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "AI news", "limit": 20}'

# Search users
curl -X POST "https://openapi.felo.ai/v2/x/user/search" \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "artificial intelligence"}'

# Get user info
curl -X POST "https://openapi.felo.ai/v2/x/user/info" \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"usernames": ["elonmusk", "OpenAI"]}'

# Get user tweets
curl -X POST "https://openapi.felo.ai/v2/x/user/tweets" \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"username": "elonmusk", "limit": 20}'

# Get tweet replies
curl -X POST "https://openapi.felo.ai/v2/x/tweet/replies" \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"tweet_ids": ["1234567890"]}'

Output Format

User Info (default, non-JSON)

## @elonmusk (Elon Musk 🔵)
- User ID: `44196397`
- Followers: 100.0M
- Following: 500
- Total Tweets: 30.0K
- Bio: ...
- Location: Mars
- Account Created: 2009-06-02T00:00:00Z

---

Tweet (default, non-JSON)

### @elonmusk(Elon Musk ✓)
- Posted: 2026-03-09T12:00:00Z | Tweet ID: `1234567890`

Tweet content here...

Engagement: 5.0K likes | 1.0K retweets | 200 replies

---

Error Handling

Common Error Codes

  • INVALID_API_KEY — API Key is invalid or revoked
  • X_SEARCH_FAILED — X search request failed (check parameters or downstream error)

Missing API Key

If FELO_API_KEY is not set, display setup instructions and stop.

API Reference (summary)

  • Base URL: https://openapi.felo.ai. Override with FELO_API_BASE env if needed.
  • Auth: Authorization: Bearer YOUR_API_KEY
  • Endpoints:

- POST /v2/x/user/info — Batch get user profiles - POST /v2/x/user/search — Search users - POST /v2/x/user/tweets — Get user tweets - POST /v2/x/tweet/search — Search tweets - POST /v2/x/tweet/replies — Get tweet replies

Important Notes

  • Always check FELO_API_KEY before calling; if missing, return setup instructions.
  • Format output as readable Markdown by default; use --json for raw API response.
  • Use pagination cursors (next_cursor) for fetching more results.
  • For tweet search, advanced query syntax is supported (same as X advanced search).

References

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

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可疑

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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

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