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Agent Skill · 研究检索

apify-competitor-intelligence(apify 竞争对手情报)

apify-competitor-intelligence 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。

apify-competitor-intelligence 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 3,966。

总安装 37,574周安装 1,614GitHub Stars 4下载 13,170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
1.0.1

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:apify-competitor-intelligence(apify 竞争对手情报)
来源仓库:https://github.com/protoss70/apify-competitor-intelligence
安装命令:
openclaw skills install apify-competitor-intelligence
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 apify-competitor-intelligence

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。

分析 Google 地图、Booking.com、Facebook、Instagram、YouTube 和 TikTok 上的竞争对手策略、内容、定价、广告和市场定位。

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 apify-competitor-intelligence;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

apify-competitor-intelligence 怎么安装?

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

apify-competitor-intelligence 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。

apify-competitor-intelligence 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。

apify-competitor-intelligence 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。

apify-competitor-intelligence 用的人多吗?

公开数据是累计安装 37,574 次,近一周安装 1,614 次,下载 13,170 次,GitHub 4 星。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。

apify-competitor-intelligence 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
apify-competitor-intelligence

apify 竞争对手情报 · 本页

37,5744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
apify-competitor-intelligence
description
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
version
1.0.1
source
https://github.com/apify/agent-skills
homepage
https://apify.com
metadata
openclaw
requires
env
bins
primaryEnv
APIFY_TOKEN
install
package
@apify/mcpc
bins
[mcpc]

Competitor Intelligence

Analyze competitors using Apify Actors to extract data from multiple platforms.

Prerequisites

  • APIFY_TOKEN configured in OpenClaw settings
  • Node.js 20.6+
  • mcpc CLI (auto-installed via skill metadata)

Input Sanitization Rules

Before substituting any value into a bash command:

  • ACTOR_ID: Must be either a technical name (owner/actor-name — alphanumeric, hyphens, dots, one slash) or a raw ID (exactly 17 alphanumeric characters, e.g., oeiQgfg5fsmIJB7Cn). Reject values containing shell metacharacters (` ; | & $ ( ) { } < > ! \

``).

  • SEARCH_KEYWORDS: Plain text words only. Reject shell metacharacters.
  • JSON_INPUT: Must be valid JSON. Must not contain single quotes (use escaped double quotes). Validate structure before use.
  • Output filenames: Must match YYYY-MM-DD_descriptive-name.{csv,json}. No path separators (/, ..), no spaces, no metacharacters.

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Identify competitor analysis type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analysis script
- [ ] Step 5: Summarize findings

Step 1: Identify Competitor Analysis Type

Select the appropriate Actor based on analysis needs:

User NeedActor IDBest For
Competitor business datacompass/crawler-google-placesLocation analysis
Competitor contact discoverypoidata/google-maps-email-extractorEmail extraction
Feature benchmarkingcompass/google-maps-extractorDetailed business data
Competitor review analysiscompass/Google-Maps-Reviews-ScraperReview comparison
Hotel competitor datavoyager/booking-scraperHotel benchmarking
Hotel review comparisonvoyager/booking-reviews-scraperReview analysis
Competitor ad strategiesapify/facebook-ads-scraperAd creative analysis
Competitor page metricsapify/facebook-pages-scraperPage performance
Competitor content analysisapify/facebook-posts-scraperPost strategies
Competitor reels performanceapify/facebook-reels-scraperReels analysis
Competitor audience analysisapify/facebook-comments-scraperComment sentiment
Competitor event monitoringapify/facebook-events-scraperEvent tracking
Competitor audience overlapapify/facebook-followers-following-scraperFollower analysis
Competitor review benchmarkingapify/facebook-reviews-scraperReview comparison
Competitor ad monitoringapify/facebook-search-scraperAd discovery
Competitor profile metricsapify/instagram-profile-scraperProfile analysis
Competitor content monitoringapify/instagram-post-scraperPost tracking
Competitor engagement analysisapify/instagram-comment-scraperComment analysis
Competitor reel performanceapify/instagram-reel-scraperReel metrics
Competitor growth trackingapify/instagram-followers-count-scraperFollower tracking
Comprehensive competitor dataapify/instagram-scraperFull analysis
API-based competitor analysisapify/instagram-api-scraperAPI access
Competitor video analysisstreamers/youtube-scraperVideo metrics
Competitor sentiment analysisstreamers/youtube-comments-scraperComment sentiment
Competitor channel metricsstreamers/youtube-channel-scraperChannel analysis
TikTok competitor analysisclockworks/tiktok-scraperTikTok data
Competitor video strategiesclockworks/tiktok-video-scraperVideo analysis
Competitor TikTok profilesclockworks/tiktok-profile-scraperProfile data

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., compass/crawler-google-places).

This returns:

  • Actor description and README
  • Required and optional input parameters
  • Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

  1. Output format:

- Quick answer - Display top few results in chat (no file saved) - CSV - Full export with all fields - JSON - Full export in JSON format

  1. Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node {baseDir}/reference/scripts/run_actor.js \
  --actor 'ACTOR_ID' \
  --input 'JSON_INPUT'

CSV:

node {baseDir}/reference/scripts/run_actor.js \
  --actor 'ACTOR_ID' \
  --input 'JSON_INPUT' \
  --output 'YYYY-MM-DD_OUTPUT_FILE.csv' \
  --format csv

JSON:

node {baseDir}/reference/scripts/run_actor.js \
  --actor 'ACTOR_ID' \
  --input 'JSON_INPUT' \
  --output 'YYYY-MM-DD_OUTPUT_FILE.json' \
  --format json

Step 5: Summarize Findings

After completion, report:

  • Number of competitors analyzed
  • File location and name
  • Key competitive insights
  • Suggested next steps (deeper analysis, benchmarking)

Security & Data Privacy

This skill instructs the agent to select an Apify Actor, fetch its schema (via mcpc), and run scrapers. The included script communicates only with api.apify.com and writes outputs to files under the current working directory; it does not access unrelated system files or other environment variables.

Apify Actors only scrape publicly available data and do not collect private or personally identifiable information beyond what is openly accessible on the target platforms. For additional security assurance, you can check an Actor's permission level by querying https://api.apify.com/v2/acts/:actorId — an Actor with LIMITED_PERMISSIONS operates in a restricted sandbox, while FULL_PERMISSIONS indicates broader system access. For full details, see Apify's General Terms and Conditions.

Error Handling

APIFY_TOKEN not found - Ask user to configure APIFY_TOKEN in OpenClaw settings mcpc not found - Run npm install -g @apify/mcpc Actor not found - Check Actor ID spelling Run FAILED - Ask user to check Apify console link in error output Timeout - Reduce input size or increase --timeout

平台分布

OpenClaw

78.41%
按下载量换算10,327

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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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