fetch-tweets

fetch-tweets is a skill for Claude Code, Codex from aaronjmars/aeon-agent. It costs 47 tokens per session (10,518 once invoked), scanned A, a copy of fetch-tweets, MIT.

A tool for searching and summarising posts from X, formerly called Twitter, using keywords, topics, accounts, lists, or an AI-agent news search.

In plain words
What is it for?
Use it to follow a topic, inspect an account or list, search for specific terms, or get a curated roundup about AI agents.
Why use it?
It groups related posts and highlights useful signals instead of leaving you with a long chronological feed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to follow a topic, inspect an account or list, search for specific terms, or get a curated roundup about AI agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaronjmars/aeon-agent/fetch-tweets
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 aaronjmars/aeon-agent --skill fetch-tweets
Clone the repo
git clone --depth 1 https://github.com/aaronjmars/aeon-agent

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 fetch-tweets

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/fetch-tweets.svg)](https://agentmods.dev/skills/aaronjmars/aeon-agent/fetch-tweets)
Your own site
<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/fetch-tweets"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/fetch-tweets.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,518 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 100% copy Near-identical to another mod 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 $0.00047 $0.10518
Opus 5 $0.00023 $0.05259
Sonnet 5 $0.00009 $0.02104
Haiku 4.5 $0.00005 $0.01052

Measured 7d ago against content hash 6c7929ff6df3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

fetch-tweets 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 7d 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.

**Path A — direct X.AI curl** (primary): for each topic, call Grok's `x_search`.
Origin

This is a copy

100% identical to fetch-tweets — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/fetch-tweets/SKILL.md · 507 lines

How it starts

The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var}<source>:<arg> where <source>keyword | topic | account | list | agent-buzz. The <arg> is source-specific (a query, a topic, a handle, comma-separated list IDs, or an optional focus). If no source: prefix is given, the source is inferred from the shape of <arg> (see Source selector). Required for keyword and list; optional for topic, account, and agent-buzz.

Today is ${today}. This skill fetches X/Twitter content along one of five source axes and produces a curated digest — clustered by sub-narrative, ranked by signal, one insight per item — never a flat chronological dump.

Source selector

Parse ${var} into SOURCE and ARG before doing anything else.

Explicit form (recommended): <source>:<arg>

  • keyword:$SOL OR solana OR "solana network" — raw X search query, passed to Grok verbatim (OR/AND honored).
  • topic:brain-computer interfaces — a single topic roundup. topic: (empty arg) → resolve a topic list from MEMORY.md, then built-in defaults.
  • account:vitalikbuterin — one account's recent tweets. account: (empty arg) → digest every handle in memory/topics/tracked-accounts.yml.
  • list:1953536336675365173,1937207796270829766 — one or more numeric X list IDs. Append |<topic> for a topic booster: list:195...,193...|AI agents.
  • agent-buzz — the curated AI-agent-ecosystem preset. agent-buzz:MCP protocol prioritizes a project/topic within the preset.

Implicit form (back-compat with migrated bare-var configs): when ${var} has no recognized source: prefix, infer SOURCE in this order:

  1. ${var} is empty → topic (default multi-topic roundup).
  2. ${var} is all-digits, or comma-separated all-digits (optionally with a |<topic> suffix) → list.
  3. ${var} is @handle or matches ^[A-Za-z0-9_]{1,15}$ (a bare handle) → account.
  4. Anything else → keyword.

Note: agent-buzz has no distinct implicit shape (its arg looks like a keyword/topic), so it is only selectable via the explicit agent-buzz / agent-buzz:... prefix.

Once SOURCE and ARG are set, jump to the matching branch below. Only one branch runs per invocation.

Read the full file on GitHub · 507 lines

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. 7d ago First seen · 507 lines · 47 tokens per session scan A 6c7929ff6df3

Subscribe to this mod's changes

fetch-tweets is a skill published in the GitHub repository aaronjmars/aeon-agent (11 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 10,518 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to fetch-tweets, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens