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apify-influencer-discovery

Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, …

读凭据写文件联网读文件严重 13 · 高危 1sickn33/agentic-awesome-skills

它会碰到什么

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它会碰到什么读凭据写文件联网读文件
命中总数30 处
命中统计严重 13 · 高 1 · 中 9 · 低 7
逐条看命中(14 条严重或高危)
  • 严重 reference/scripts/run_actor.js:7cred-paths
    *   node --env-file=.env scripts/run_actor.js --actor ACTOR_ID --input '{}'
  • 严重 reference/scripts/run_actor.js:10cred-paths
    *   node --env-file=.env scripts/run_actor.js --actor ACTOR_ID --input '{}' --output leads.csv --format csv
  • 严重 reference/scripts/run_actor.js:65cred-paths
    node --env-file=.env scripts/run_actor.js --actor ACTOR_ID --input '{}'
  • 严重 reference/scripts/run_actor.js:83cred-paths
    node --env-file=.env scripts/run_actor.js \\
  • 严重 reference/scripts/run_actor.js:88cred-paths
    node --env-file=.env scripts/run_actor.js \\
  • 严重 reference/scripts/run_actor.js:324cred-paths
    console.error('Error: APIFY_TOKEN not found in .env file');
  • 严重 reference/scripts/run_actor.js:326cred-paths
    console.error('Add your token to .env file:');
  • 严重 SKILL.md:21cred-paths
    - `.env` file with `APIFY_TOKEN`
  • 严重 SKILL.md:65cred-paths
    export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_
  • 严重 SKILL.md:88cred-paths
    node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  • 严重 SKILL.md:95cred-paths
    node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  • 严重 SKILL.md:104cred-paths
    node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  • 严重 SKILL.md:121cred-paths
    `APIFY_TOKEN not found` - Ask user to create `.env` with `APIFY_TOKEN=your_token`
  • reference/scripts/run_actor.js:322cred-envread
    const token = process.env.APIFY_TOKEN;

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Influencer Discovery

Discover and analyze influencers across multiple platforms using Apify Actors.

When to Use

  • You need to discover creators or influencers for outreach, partnerships, or campaign planning.
  • The task is to evaluate authenticity, engagement, niche fit, or audience signals across social platforms.
  • You need Apify-based extraction plus a shortlist or summary of suitable influencer candidates.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results

Step 1: Determine Discovery Source

Select the appropriate Actor based on user needs:

| User Need | Actor ID | Best For |

|-----------|----------|----------|

| Influencer profiles | apify/instagram-profile-scraper | Profile metrics, bio, follower counts |

| Find by hashtag | apify/instagram-hashtag-scraper | Discover influencers using specific hashtags |

| Reel engagement | apify/instagram-reel-scraper | Analyze reel performance and engagement |

| Discovery by niche | apify/instagram-search-scraper | Search for influencers by keyword/niche |

| Brand mentions | apify/instagram-tagged-scraper | Track who tags brands/products |

| Comprehensive data | apify/instagram-scraper | Full profile, posts, comments analysis |

| API-based discovery | apify/instagram-api-scraper | Fast API-based data extraction |

| Engagement analysis | apify/export-instagram-comments-posts | Export comments for sentiment analysis |

| Facebook content | apify/facebook-posts-scraper | Analyze Facebook post performance |

| Micro-influencers | apify/facebook-groups-scraper | Find influencers in niche groups |

| Influential pages | apify/facebook-search-scraper | Search for influential pages |

| YouTube creators | streamers/youtube-channel-scraper | Channel metrics and subscriber data |

| TikTok influencers | clockworks/tiktok-scraper | Comprehensive TikTok data extraction |

| TikTok (free) | clockworks/free-tiktok-scraper | Free TikTok data extractor |

| Live streamers | clockworks/tiktok-live-scraper | Discover live streaming influencers |

Step 2: Fetch Actor Schema

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

export $(grep APIFY_TOKEN .env | xargs) && 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., apify/instagram-profile-scraper).

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 --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Results

After completion, report:

  • Number of influencers found
  • File location and name
  • Key metrics available (followers, engagement rate, etc.)
  • Suggested next steps (filtering, outreach, deeper analysis)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token

mcpc not found - Ask user to install 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

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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原文件路径plugins/agentic-awesome-skills-claude/skills/apify-influencer-discovery/SKILL.md

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