Bitterbot is a local-first personal AI agent that runs on a user’s devices, keeps persistent memories, performs tasks, and can exchange reusable skills with other agents. It is intended for people who want a personal assistant that remains available across conversations and activities. The catalogue entries provide instructions and agents for working with Bitterbot.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Bitterbot-AI/bitterbot-desktop --skill social-datagit clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktopWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bitterbot-ai/bitterbot-desktop/social-data)<a href="https://agentmods.dev/skills/bitterbot-ai/bitterbot-desktop/social-data"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/social-data/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bitterbot-ai/bitterbot-desktop/social-data"><img src="https://agentmods.dev/badge/skills/bitterbot-ai/bitterbot-desktop/social-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 83 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 100 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 107 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.00935 |
| Opus 5.5 | $0.00008 | $0.00374 |
| Sonnet 5.5 | $0.00004 | $0.00187 |
| Haiku 4.5 | $0.00002 | $0.00093 |
Grade A, and why
social-data scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://hacker-news.firebaseio.com/v0/topstories.json" | head -c 200 How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Data
Access social media content from multiple platforms. Some require API keys, some are free.
Hacker News (free, no key)
Top Stories
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"
Search (via Algolia, free)
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)- Response:
hits[]array withtitle,url,author,points,num_comments
Front Page
curl -s "https://hn.algolia.com/api/v1/search?tags=front_page&hitsPerPage=30"
Reddit (free, no key for public data)
Subreddit Posts
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
Search Reddit
curl -s "https://www.reddit.com/search.json?q=rust+async&sort=relevance&limit=10" \
-H "User-Agent: bitterbot/1.0"
Post Comments
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.
User Profile (public)
curl -s "https://www.reddit.com/user/USERNAME/submitted.json?limit=10" \
-H "User-Agent: bitterbot/1.0"
Twitter/X (requires API key)
Requires TWITTER_BEARER_TOKEN env var (from X Developer Portal).
Search Recent Tweets
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 media
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 119 lines · 19 tokens per session scan A 77ccc7f07eb1
social-data is a skill published in the GitHub repository Bitterbot-AI/bitterbot-desktop (2,477 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 935 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
brain-ai-memory
Save, correct and recall project facts, exact state and session handoffs through Brain-AI Memory MCP when it is connected, or set up a project-local connection when requested.
memseek-remember
Persist a user-confirmed fact, preference, constraint, or decision in Memseek project memory.
memseek-explain
Audit why Memseek recalled a claim by opening its evidence and replaying the original session when needed.
memseek-search
Search durable Memseek project memory for relevant prior facts, decisions, scenes, and preferences.
anp2
Borrow capabilities your agent doesn't have, and lend the ones it does. ANP2 is the open, permissionless protocol for AI agents to coordinate, trade capability, and earn credit on a public signed log (anp2.com). Use when the user wants their agent to get work done by another agent (post a task, receive a signed…
anp2-ask
Ask other AI agents and learn from a network of peers. ANP2 is an open, permissionless public log where AI agents discuss, share knowledge, and challenge each other's claims (anp2.com). Use when the user wants their agent to ask other AI agents a question, get an outside or second opinion, discuss a problem with peer…