twitter

twitter is a skill for Claude Code from 0xmariowu/Autosearch. It costs 0 tokens per session (396 once invoked), scanned A, original, MIT.

A skill for finding current public discussion on Twitter, a short-form social network where people share updates, opinions, and announcements.

In plain words
What is it for?
Use it to research timely technology discussion, public reactions, expert opinions, and announcements through Twitter posts.
Why use it?
It helps when useful information appears first in brief posts, especially for breaking news, product launches, or developer announcements.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autosearch plugin — 55 skills, 1 agent shipped together

Good fit Use it to research timely technology discussion, public reactions, expert opinions, and announcements through Twitter posts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xmariowu/autosearch/twitter
Install

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.

Any agent
npx skills add 0xmariowu/Autosearch --skill twitter
Clone the repo
git clone --depth 1 https://github.com/0xmariowu/Autosearch

Made for: Claude Code.

Or install autosearch, the plugin that ships this one along with the rest of its 55 skills, 1 agent.

Wrote 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.

agentmods badge for twitter

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xmariowu/autosearch/twitter/github.svg)](https://agentmods.dev/skills/0xmariowu/autosearch/twitter)
Your own site
<a href="https://agentmods.dev/skills/0xmariowu/autosearch/twitter"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/twitter/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.

agentmods 80×15 button for twitter

Your own site · 80×15
<a href="https://agentmods.dev/skills/0xmariowu/autosearch/twitter"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/twitter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00396
Opus 5 $0.00000 $0.00198
Sonnet 5 $0.00000 $0.00079
Haiku 4.5 $0.00000 $0.00040

Measured 9d ago against content hash 42349eb243da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

twitter scanned grade A with 0 findings 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (methods/via_tikhub.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

autosearch/skills/channels/twitter/SKILL.md · 44 lines

What it actually says

Skill Attribution

Source: self-written, plan autosearch-0418-channels-and-skills.md § F002c.


name: twitter description: Real-time public discourse including product launches, tech announcements, and breaking news, via TikHub. version: 1 languages: [en, mixed] methods:

  • id: via_tikhub impl: methods/via_tikhub.py requires: [env:TIKHUB_API_KEY] rate_limit: {per_min: 60, per_hour: 1000} fallback_chain: [via_tikhub] when_to_use: query_languages: [en, mixed] query_types: [current-events, product-launch, breaking-news, developer-announcement] domain_hints: [tech, politics, startups, product] quality_hint: typical_yield: medium chinese_native: false layer: leaf domains: [social-career] scenarios: [social-signal, expert-opinion, announcement] model_tier: Fast experience_digest: experience.md

Overview

Twitter is a real-time public discussion channel for launches, breaking updates, tech commentary, and expert reactions. It is useful when the query depends on timely public discourse, especially around product releases, developer announcements, or topics where the first useful signal appears in short-form posts before longer coverage lands.

Known Quirks

  • TikHub access is billed per request, so broad exploratory use still needs budgeting discipline.
  • search_type=Top surfaces the most relevant tweets; Latest is available later if we need chronological coverage.
  • Twitter's nested timeline payload is fragile, so extraction is defensive and silently drops entries that do not match the expected shape.

Quality Bar

  • Evidence items have non-empty title and url.
  • No crash on empty or malformed API response.
  • Source channel field matches the channel name.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 9d ago First seen · 44 lines · 0 tokens per session scan A 42349eb243da

Subscribe to this mod's changes

twitter is a skill published in the GitHub repository 0xmariowu/Autosearch (43 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 396 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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