fetch-tweet

fetch-tweet is a skill for Claude Code from team-attention/plugins-for-claude-natives. It costs 93 tokens per session (760 once invoked), scanned A, original, MIT.

A tool for retrieving the full content and details of a post from X, formerly called Twitter, using its URL. It can return the text, author, engagement figures, date, media, and quoted posts.

In plain words
What is it for?
Use it to fetch, translate, or analyze individual posts from x.com, twitter.com, fxtwitter.com, or fixupx.com URLs.
Why use it?
It provides readable post data without relying on X's JavaScript-heavy web page and can supply source text for translation or analysis.

Skill for Claude Code

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

Part of the fetch-tweet plugin — 1 skill shipped together

Good fit Use it to fetch, translate, or analyze individual posts from x.com, twitter.com, fxtwitter.com, or fixupx.com URLs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/team-attention/plugins-for-claude-natives/fetch-tweet
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 team-attention/plugins-for-claude-natives --skill fetch-tweet
Clone the repo
git clone --depth 1 https://github.com/team-attention/plugins-for-claude-natives

Made for: Claude Code.

Or install fetch-tweet, the plugin that ships this one along with the rest of its 1 skill.

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-tweet

README.md
[![agentmods](https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/fetch-tweet/github.svg)](https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/fetch-tweet)
Your own site
<a href="https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/fetch-tweet"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/fetch-tweet/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 fetch-tweet

Your own site · 80×15
<a href="https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/fetch-tweet"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/fetch-tweet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 760 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 17
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 74
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00093 $0.00760
Opus 5 $0.00046 $0.00380
Sonnet 5 $0.00019 $0.00152
Haiku 4.5 $0.00009 $0.00076

Measured 10d ago against content hash 09950a924779, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

fetch-tweet 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch_tweet.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.

plugins/fetch-tweet/skills/fetch-tweet/SKILL.md · 83 lines

What it actually says

Fetch Tweet

X/Twitter URL에서 트윗 원문, 작성자 정보, 인게이지먼트 데이터를 가져오는 스킬. FxEmbed 오픈소스 프로젝트의 API (api.fxtwitter.com)를 활용하여 JavaScript 없이 트윗 데이터를 추출한다.

How It Works

X/Twitter URL의 도메인을 api.fxtwitter.com으로 변환하면 JSON으로 트윗 전체 데이터를 반환한다.

https://x.com/user/status/123456
  → https://api.fxtwitter.com/user/status/123456

Script

scripts/fetch_tweet.py - 표준 라이브러리만 사용, 외부 의존성 없음.

# 기본 사용 (포맷팅된 출력)
python scripts/fetch_tweet.py https://x.com/garrytan/status/2020072098635665909

# JSON 출력 (프로그래밍 활용)
python scripts/fetch_tweet.py https://x.com/garrytan/status/2020072098635665909 --json

지원 URL 형식: x.com, twitter.com, fxtwitter.com, fixupx.com

API Response Fields

필드 설명
tweet.text 트윗 본문 (URL 확장됨)
tweet.author 작성자 (name, screen_name, bio, followers)
tweet.likes/retweets/replies/bookmarks/views 인게이지먼트
tweet.created_at 작성 일시
tweet.media 첨부 미디어 (photos, videos)
tweet.quote 인용 트윗 (동일 구조)
tweet.lang 언어 코드

Workflow

단일 트윗 가져오기

  1. URL에서 screen_name과 status_id를 추출
  2. scripts/fetch_tweet.py <url> 실행
  3. 결과를 사용자에게 표시하거나 번역

번역 요청 시

  1. 스크립트로 원문 fetch
  2. 가져온 텍스트를 한국어로 번역하여 제공
  3. 인게이지먼트 수치도 함께 표시

다른 스킬과 연동

Contents Hub 등에서 수집한 X URL 목록을 일괄 처리할 때:

# JSON 출력으로 파이프라인 연동
python scripts/fetch_tweet.py <url> --json | python3 -c "import sys,json; print(json.load(sys.stdin)['tweet']['text'])"

WebFetch Fallback

스크립트 실행이 어려운 경우 WebFetch 도구로 직접 API 호출 가능:

URL: https://api.fxtwitter.com/{screen_name}/status/{status_id}
Prompt: "Extract the full tweet text and author name"

Limitations

  • 비공개 계정 트윗은 조회 불가
  • 삭제된 트윗은 조회 불가
  • API rate limit은 FxEmbed 서버 정책에 따름 (일반 사용 수준에서는 문제 없음)
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. 10d ago First seen · 83 lines · 93 tokens per session scan A 09950a924779

Subscribe to this mod's changes

fetch-tweet is a skill published in the GitHub repository team-attention/plugins-for-claude-natives (824 stars, last pushed 4mo ago), licensed MIT. It adds 93 tokens to every session and 760 once invoked, about $0.0005 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 2026-08-30.

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