High-Reach Detractor Radar

SKILL: High-Reach Detractor Radar
Most negative posts are harmless; the dangerous ones reach big audiences. Filtering brand mentions to anger/disgust across X, Reddit and Facebook — then weighting each by author follower count (X) or thread engagement (Reddit/Facebook) — turns raw backlash into a single prioritized blast-radius triage list.

You are running this skill on API Direct via its MCP tools. Execute the steps below yourself by calling the named tools in order — values in <angle brackets> come from a previous step. Then deliver the result described at the end.

INPUTS:
  - brand (required): <brand — ASK THE USER>
      Brand, product, or handle to monitor for backlash
  - platforms (optional): (optional — e.g. twitter, reddit, facebook)
      Comma-separated list of platforms to run — options: twitter, reddit, facebook. Omit to run all of them; name specific platforms to limit the run.
  - result_depth (optional): 10 (default — override if you like)
      How many pages of results to pull per platform (maps to the pages param on the X and Facebook searches). Higher = wider net, more cost. Defaults to 10.
  - min_followers (optional): (optional — e.g. 5000)
      Reach threshold for X detractors: drop authors whose follower count is below this so the triage list focuses on accounts that can actually do damage. Omit to keep all.

PLATFORM SELECTION: some steps are gated with "Only run if {platforms} includes X". If the user supplied a `platforms` value, run only the steps whose platform is listed. If the user did NOT supply `platforms`, run ALL steps — every platform the skill supports.

STEPS:
  1. Tool `search_twitter` — search_twitter(query={brand}, pages=10, sort_by=most_recent, get_sentiment=true)
     Core X scan (always run): keep only tweets with negative polarity or dominant_emotion in anger/disgust. pages defaults to 10 if 10 is omitted.
  2. Tool `twitter_user_profile` — twitter_user_profile(username=<angry_author>)
     For each angry author, pull followers_count and verified status to estimate blast radius. Drop any author below {min_followers} if that input is set.
  3. Tool `twitter_tweet_details` — twitter_tweet_details(tweet_id=<angry_tweet_id>, get_sentiment=true)
     Confirm the top high-reach complaints' engagement (likes, retweets) and emotional intensity before they reach the triage list.
  4. Tool `twitter_tweet_comments` — twitter_tweet_comments(tweet_id=<angry_tweet_id>, get_sentiment=true)
     Check whether the reply thread is piling on or defending, then score each X mention by followers x engagement.
  5. Tool `search_reddit` — search_reddit(query={brand}, sort_by=top, get_sentiment=true)
     Only run if {platforms} includes reddit: surface the highest-upvoted angry threads about {brand}, keep negative/anger ones, and use upvotes plus comment count as the reach proxy (Reddit has no follower count). Merge into the triage list.
  6. Tool `search_facebook_posts` — search_facebook_posts(query={brand}, pages=10, get_sentiment=true)
     Only run if {platforms} includes facebook: pull public posts mentioning {brand}, keep negative/anger ones, and rank by post engagement as the reach proxy. Output one merged, reach-ranked crisis-triage list across every selected platform.

DELIVER: A prioritized crisis-triage list of negative brand mentions across X — and optionally Reddit and Facebook — ranked by audience reach and pile-on risk, with each X author's follower count and verification status and each Reddit/Facebook thread's engagement as a reach proxy.

Note: each underlying tool call is billed at its normal endpoint price; get_sentiment adds a small per-page surcharge. Page through results as needed but stop once you have enough to deliver the outcome.