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 agentmods add skills/nirholas/three.ws/x-twitter-automation-guidenpx skills add nirholas/three.ws --skill x-twitter-automation-guidegit clone --depth 1 https://github.com/nirholas/three.wsWrote 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/nirholas/three.ws/x-twitter-automation-guide)<a href="https://agentmods.dev/skills/nirholas/three.ws/x-twitter-automation-guide"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/x-twitter-automation-guide.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00053 | $0.01133 |
| Opus 5 | $0.00026 | $0.00566 |
| Sonnet 5 | $0.00011 | $0.00227 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
x-twitter-automation-guide 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X/Twitter Automation Guide (XActions)
XActions is a TypeScript library for automating X (Twitter) actions. Features browser automation, thread posting, engagement monitoring, and DM management — with anti-detection and rate-limit-aware scheduling.
Features
| Feature | Description | Rate Limit Aware |
|---|---|---|
| Post Tweets | Single tweets and threads | ✅ |
| Engagement | Like, retweet, reply, bookmark | ✅ |
| Search | Advanced search with filters | ✅ |
| Followers | Follow, unfollow, list management | ✅ |
| DMs | Send and read direct messages | ✅ |
| Analytics | Tweet performance, follower growth | ✅ |
| Scheduling | Queue tweets for future posting | ✅ |
| Scraping | Extract tweets, profiles, threads | ✅ |
Quick Start
npm install xactions
import { XClient } from 'xactions';
const client = new XClient({
// Cookie-based auth (no API keys needed)
cookies: process.env.X_COOKIES,
// OR API-based auth
apiKey: process.env.X_API_KEY,
apiSecret: process.env.X_API_SECRET,
accessToken: process.env.X_ACCESS_TOKEN,
accessSecret: process.env.X_ACCESS_SECRET,
});
Posting
Single Tweet
await client.tweet('Just minted my first ERC-8004 agent on @SperaxOfficial! 🤖');
Thread
await client.thread([
'Thread: Understanding Sperax USDs auto-yield 🧵',
'1/ USDs is a stablecoin that earns yield automatically just by holding it in your wallet',
'2/ The yield comes from deploying collateral into battle-tested DeFi protocols',
'3/ Current APY: ~7% — no staking, no locking, no claiming required',
'4/ Available on Arbitrum. Learn more: https://app.sperax.io'
]);
With Media
await client.tweet('Check out this chart! 📈', {
media: ['./chart.png'],
altText: 'SPA price chart showing 50% gain this month'
});
Search & Scraping
Advanced Search
const tweets = await client.search({
query: 'sperax OR USDs OR $SPA',
filter: 'latest',
minLikes: 5,
minReplies: 2,
lang: 'en',
since: '2024-01-01',
limit: 100
});
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.
- 2d ago First seen · 175 lines · 53 tokens per session scan A ac4f7e70d33a
x-twitter-automation-guide is a skill published in the GitHub repository nirholas/three.ws (111 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 1,133 once invoked, about $0.0003 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 2026-09-03.
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