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Search and fetch social media data from Twitter/X, Reddit, and Hacker News.
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/Bitterbot-AI/bitterbot-desktop --skill social-dataThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
Enforces PROTOCOLS.md "stay quiet in group chats" deterministically. Blocks outbound messages in Discord/Telegram/Slack/etc group channels when the bot was not @mentioned and recently spoke.
Forces a memory_search before the agent sends a message containing a factual assertion that has not yet been grounded this turn. Closes the citation-rate gap from ~40% to ~90%+.
Based on SOC occupation classification
Showing SKILL.md
| name | social-data |
| description | Search and fetch social media data from Twitter/X, Reddit, and Hacker News. |
| metadata | {"bitterbot":{"emoji":"📱"}} |
Access social media content from multiple platforms. Some require API keys, some are free.
curl -s "https://hacker-news.firebaseio.com/v0/topstories.json" | head -c 200
Returns array of item IDs. Fetch individual items:
curl -s "https://hacker-news.firebaseio.com/v0/item/12345678.json"
curl -s "https://hn.algolia.com/api/v1/search?query=rust+programming&tags=story&hitsPerPage=10"
tags: story, comment, ask_hn, show_hn, pollnumericFilters: created_at_i>1700000000 (Unix timestamp)hits[] array with title, url, author, points, num_commentscurl -s "https://hn.algolia.com/api/v1/search?tags=front_page&hitsPerPage=30"
curl -s "https://www.reddit.com/r/programming/hot.json?limit=10" \
-H "User-Agent: bitterbot/1.0"
Sort options: hot, new, top, rising
For top: add ?t=hour|day|week|month|year|all
curl -s "https://www.reddit.com/search.json?q=rust+async&sort=relevance&limit=10" \
-H "User-Agent: bitterbot/1.0"
curl -s "https://www.reddit.com/r/programming/comments/POST_ID.json" \
-H "User-Agent: bitterbot/1.0"
Response is array of two listings: [0] = post, [1] = comments tree.
curl -s "https://www.reddit.com/user/USERNAME/submitted.json?limit=10" \
-H "User-Agent: bitterbot/1.0"
Requires TWITTER_BEARER_TOKEN env var (from X Developer Portal).
curl -s "https://api.twitter.com/2/tweets/search/recent?query=from:elonmusk&max_results=10&tweet.fields=created_at,public_metrics" \
-H "Authorization: Bearer $TWITTER_BEARER_TOKEN"
Query operators:
from:username — tweets by userto:username — replies to user#hashtag — hashtag search"exact phrase" — exact match-is:retweet — exclude retweetslang:en — language filterhas:media — tweets with mediacurl -s "https://api.twitter.com/2/users/by/username/elonmusk?user.fields=public_metrics,description,created_at" \
-H "Authorization: Bearer $TWITTER_BEARER_TOKEN"
curl -s "https://api.twitter.com/2/users/USER_ID/tweets?max_results=10&tweet.fields=created_at,public_metrics" \
-H "Authorization: Bearer $TWITTER_BEARER_TOKEN"
User-Agent header for Reddit (they block default agents)..json to any Reddit URL.web_fetch for HTML pages, exec + curl for JSON APIs.