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Creator Screening

v1.1.0

Screen and evaluate social media creators/influencers using configurable quality frameworks. Analyzes Instagram, TikTok, YouTube creators using Memories.ai V...

0· 310· 2 versions· 1 current· 1 all-time· Updated 4h ago· MIT-0

Install

openclaw skills install creator-screening

Creator Screening Skill

Automated creator/influencer screening powered by Memories.ai V2 Video Understanding API.

Parameters

ParameterDefaultDescription
videos_per_creator5Number of top videos to analyze per creator
video_seconds30First N seconds of each video to analyze
platformsinstagramSupported: instagram, tiktok, youtube
analysis_modemaimai (visual+audio AI analysis) or transcript (audio-only fallback)
frameworkdefaultScreening framework to apply. See references/frameworks/
output_formatdiscorddiscord, pdf (Google Doc→PDF), or json
batch_size10Max creators per batch run

Quick Start

Screen these creators: @anshmehra.in, @nishkarshsharmaa
Parameters: videos_per_creator=3, framework=cac-crusher

Workflow

Step 1: Parse Input

Accept creator URLs in any format:

  • Profile: https://www.instagram.com/username/
  • Individual reel: https://www.instagram.com/reel/SHORTCODE/
  • YouTube: https://www.youtube.com/@channel or /shorts/ID

Step 2: Get Profile & Video Metadata

Memories.ai V2: POST /instagram/video/metadata

python3 scripts/scrape_profiles.py --urls "reel_url1,reel_url2" --channel rapid

Returns per video ($0.01/video):

  • Owner profile: username, full_name, followers, verified, profile_pic
  • Video stats: views, play_count, duration, caption, comments, dimensions, audio info

Step 3: Video Understanding (MAI)

Memories.ai V2 MAI: POST /instagram/video/mai/transcript

This is the core analysis step. MAI provides:

  • Visual scene descriptions: lighting quality, framing, environment, clothing, production value
  • Audio transcription: speech-to-text with timestamps
  • Content understanding: topic classification, delivery style, structure
python3 scripts/analyze_videos.py --mode mai --videos_per_creator 5 --urls "url1,url2"

Each video returns visual + audio AI analysis. Use this to evaluate:

  • Section 2.1: Look & Feel (lighting, environment, framing) — from visual scenes
  • Section 2.2: Audio Quality (clarity, echo, consistency) — from audio analysis
  • Section 3.x: Delivery & Content (structure, fluency, maturity) — from transcript text
  • Section 4: Positioning (tone, energy, brand safety) — from combined analysis

Fallback: If MAI is unavailable, use --mode transcript for audio-only analysis:

python3 scripts/analyze_videos.py --mode transcript --videos_per_creator 5 --urls "url1,url2"

Step 4: Apply Framework

Score against the selected screening framework:

python3 scripts/score_creator.py --framework cac-crusher --profile profile.json --transcripts transcripts.json

Frameworks live in references/frameworks/:

  • cac-crusher.md — CAC Crusher Creator Screening Framework (Talking Head + Skit categories)
  • default.md — Generic quality screening (5 dimensions, weighted scoring)
  • template.md — Template for creating custom frameworks

Step 5: Generate Report

Output per-creator screening cards with:

  • Profile stats (followers, verified, engagement)
  • Per-section scores (PASS/FAIL/FLAG)
  • Transcript excerpts as evidence
  • Visual quality notes from MAI
  • Final verdict (APPROVED / REJECTED / CONDITIONAL)

Setup

Set the following environment variables before use:

export MEMORIES_API_KEY="your-memories-ai-v2-api-key"   # Required — Memories.ai V2 API key
export APIFY_API_KEY="your-apify-key"                    # Optional — fallback scraper for profiles

Get your API key at https://api-tools.memories.ai

Memories.ai V2 API Reference

All endpoints use: Authorization: <API_KEY> header (no Bearer prefix). Base URL: https://mavi-backend.memories.ai/serve/api/v2

EndpointMethodUseCost
/{platform}/video/metadataPOSTProfile + video stats$0.01/video
/{platform}/video/mai/transcriptPOSTVisual + audio AI analysis~$0.11/video
/{platform}/video/transcriptPOSTAudio transcription only~$0.01/video

Platforms: instagram, tiktok, youtube, twitter

Request body: {"video_url": "...", "channel": "rapid"} MAI response: {"data": {"task_id": "..."}} (async, results via webhook)

URL format: Instagram must use /reel/SHORTCODE/ (not /p/ or /reels/)

Error Handling

  • Add 0.5s delay between API calls
  • Retry failed requests once, then skip
  • If MAI webhook not received, fall back to transcript mode
  • Always normalize Instagram URLs: /p//reel/, /reels//reel/

Version tags

latestvk971ke35wyq937jz14aveqbb5h82d03d

Runtime requirements

🎯 Clawdis