twitter

twitter is a skill for Claude Code, Codex from mediause/agent-skills. It costs 36 tokens per session (2,352 once invoked), scanned A, original, no licence file.

A coding-agent skill for Twitter/X, a social platform for public posts and conversations.

In plain words
What is it for?
Use it to install the skill, set up access, and run supported Twitter/X commands.
Why use it?
It provides a defined way to connect to and work with the platform, including login steps and limits on automated activity.

Skill for Claude CodeCodex

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.

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

Made for: Claude Code, Codex.

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/mediause/agent-skills/twitter.svg)](https://agentmods.dev/skills/mediause/agent-skills/twitter)
Your own site
<a href="https://agentmods.dev/skills/mediause/agent-skills/twitter"><img src="https://agentmods.dev/badge/skills/mediause/agent-skills/twitter.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,352 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00036 $0.02352
Opus 5 $0.00018 $0.01176
Sonnet 5 $0.00007 $0.00470
Haiku 4.5 $0.00004 $0.00235

Measured 5d ago against content hash 19446fc504f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 5d 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.

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.

twitter/SKILL.md · 339 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 5d ago First seen · 339 lines · 36 tokens per session scan A 19446fc504f7

Subscribe to this mod's changes

twitter is a skill published in the GitHub repository mediause/agent-skills (9 stars, last pushed 14d ago), with no licence file. It adds 36 tokens to every session and 2,352 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-31.