A skill for fetching content from Twitter/X, the social network formerly known as Twitter. It can retrieve individual posts and user profiles without authentication, while broader feeds require saved browser cookies.

Retrieving a post from its URL, looking up a profile, reading timelines or feeds, and obtaining feed content in Markdown.

It provides a direct way to read posts or feeds when you need information from Twitter/X.

twitterX — Skill for Claude Code and Codex by aksika

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 aksika/abtars --skill twitterx

Clone the repo

git clone --depth 1 https://github.com/aksika/abtars

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aksika/abtars/twitterx.svg)](https://agentmods.dev/skills/aksika/abtars/twitterx)

Your own site

<a href="https://agentmods.dev/skills/aksika/abtars/twitterx"><img src="https://agentmods.dev/badge/skills/aksika/abtars/twitterx.svg" alt="Measured on agentmods" height="20"></a>

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 897 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00019	$0.00897
Opus 5	$0.00010	$0.00449
Sonnet 5	$0.00004	$0.00179
Haiku 4.5	$0.00002	$0.00090

Measured 6d ago against content hash d69516473e79, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

twitterX 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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/abtars-tweet.js), 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

2. Fetch: `curl -s "https://api.fxtwitter.com/{user}/status/{id}"` → JSON with text, author, likes, retweets, views, media, createdAt

templates/skills/twitterX/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Twitter / X

Quick mode (no auth — FXTwitter API)

Fetch individual tweets and user profiles without API keys.

Endpoints

Tweet: GET https://api.fxtwitter.com/{screen_name}/status/{tweet_id}
Tweet + translation: GET https://api.fxtwitter.com/{screen_name}/status/{tweet_id}/{lang_code}
User profile: GET https://api.fxtwitter.com/{screen_name} → name, bio, followers, verification

Pipeline

Extract tweet ID from URL: https://x.com/{user}/status/{id}
Fetch: curl -s "https://api.fxtwitter.com/{user}/status/{id}" → JSON with text, author, likes, retweets, views, media, createdAt

Error codes

200=OK, 401=private tweet, 404=deleted/not found, 500=backend error

Full mode (requires cookies — rettiwt-api)

Authenticated access for feeds, timelines, search, replies.

Commands

# Feed (all follows, ranked)
node {baseDir}/scripts/abtars-tweet.js --feed

# Feed as markdown
node {baseDir}/scripts/abtars-tweet.js --feed --format md

# Feed + discover new follows
node {baseDir}/scripts/abtars-tweet.js --feed --discover

# Single tweet
node {baseDir}/scripts/abtars-tweet.js --fetch <tweet-url>

# User timeline
node {baseDir}/scripts/abtars-tweet.js --timeline <handle> --count 10

# Replies on a tweet
node {baseDir}/scripts/abtars-tweet.js --replies <tweet-id>

# Search
node {baseDir}/scripts/abtars-tweet.js --search "query"

# User profile
node {baseDir}/scripts/abtars-tweet.js --user <handle>

Config

Follows: ~/.abtars/workspace/twitterX/base.follows.json + agent.follows.json
Cookies: ~/.abtars/secret/x-cookies.json (encrypted at rest, required for full mode)
Dependency: rettiwt-api (pinned in scripts/package.json). Install with: npm install --prefix ~/.abtars (or npm install --prefix ~/.abtars [email protected] on a fresh machine). Requires Node 22+.
Output: ~/.abtars/workspace/twitterX/output/ (daily JSON reports)
Newsletter: ~/.abtars/workspace/twitterX/newsletter/AI-Daily-{date}.md (passed via --output when running --format md)

Read the full file on GitHub · 92 lines

Files

What ships with it

3 files 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.

6d ago First seen · 92 lines · 19 tokens per session scan A d69516473e79

Subscribe to this mod's changes

twitterX is a skill published in the GitHub repository aksika/abtars (9 stars, last pushed 2d ago), licensed Apache-2.0. It adds 19 tokens to every session and 897 once invoked, about $0.0001 per session on Opus 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 2026-08-31.

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twitterX