Read X (Twitter) long-form Articles end-to-end from a shared x.com link, in any AI coding agent. Activates when a user drops an x.com or twitter.com URL (especially an X Article like /i/article/ID) and expects it read, or says "read this X post/article/thread". Resolves the canonical /i/article/ID URL (which serves plain text) instead of giving up on the login/JS wall that hits profile and /status/ pages. Includes browser-tool and API fallbacks.
Read X (Twitter) long-form Articles end-to-end from a shared x.com link, in any AI coding agent. Activates when a user drops an x.com or twitter.com URL (especially an X Article like /i/article/ID) and expects it read, or says "read this X post/article/thread". Resolves the canonical /i/article/ID URL (which serves plain text) instead of giving up on the login/JS wall that hits profile and /status/ pages. Includes browser-tool and API fallbacks.
version
1.0.0
author
Hermes Agent
license
MIT
compatibility
Cross-platform: Claude Code, OpenAI Codex, GitHub Copilot, Cursor, Windsurf, Gemini CLI, OpenClaw, Hermes Agent, and any SKILL.md-compatible agent.
Turn any X link a user shares into the full article text. Do NOT default to "I
can't read X" — X long-form Articles DO extract cleanly via the right URL.
When to Use
A user drops an x.com/... or twitter.com/... link and expects you to read it.
The link is an X Article (long-form essay/interview) — canonical path
/i/article/<ID>.
You need primary source text from an X essay/thread as material for work
(e.g. writing, video scripts, analysis).
Anyone claims "X content can't be read" — that is the signal to trigger, not
capitulate.
The core insight (learned 2026-08-12)
X Articles are readable end-to-end at the canonical
https://x.com/i/article/<ID>when fetched by a JS-executing
web-extractor / browser tool — that returns the FULL body, not a snippet.
Bare HTTP fetch (urllib/curl) of the article often returns a login/JS
shell. The canonical URL is necessary but a plain request is NOT sufficient
— you need a render-capable tool. This is why web_extract (SE/agent-grade)
succeeds where curl fails.
/status/<id> posts and profile pages are JS-rendered and hit the
login wall → they come back empty even to a browser. That is the apparent
"can't read X." The fix is resolving the article URL AND using the right
fetch tool, not giving up.
Images matter. The article's cover, diagrams, charts, and screenshots
can be essential to understanding it. Extract the media URLs and analyze
them (vision) as part of the read — do not stop at the text.
Steps
Try first, judge later. When given any X link, immediately attempt it
with a web-extract/browser tool. Declaring it unreadable before trying is
the exact mistake this skill prevents.
Use the right fetcher: prefer the agent's web_extract-style tool or a
browser render — NOT bare curl/urllib. If the only tool is a plain HTTP
client, expect a login shell and fall back to a browser.
If it's a /status/ URL or returns a login/JS shell, resolve the
canonical article URL:
The article ID often appears in the status link's query/path when the
post is an article share.
Find the author's /i/article/<ID> share link on their profile, or ask
the user for the article link directly.
Then fetch https://x.com/i/article/<ID> with a render-capable tool.
Validate the body: a real extract contains substantive paragraphs, NOT
just "Log in or sign up for X." A 1,900+ word essay returns complete.
Fallbacks if a render-capable extract still fails:
Use a browser tool (CDP-style) to render the JS page, then read the
rendered text/DOM.
If the account has X API access (e.g. an xurl-style CLI), query the
article tweet and read data.article.plain_text. A dead/unauthed CLI
token is NOT a blocker — prefer web/browser first.
Use the content. It's legitimate primary source. Quote it and cite the
author. If it's a community take (e.g. a power-user writing about a product),
it's still real material for summaries, scripts, and analysis.
Read the images too. After extracting the body, the text extractor may
drop inline images (screenshots, diagrams, UI captures) that are essential to
understanding the article. Fetch the raw HTML of the page (curl or similar)
and extract all pbs.twimg.com/media/ URLs — these are the article's inline
images. Analyze the meaningful ones (not user avatars) with a vision tool.
Report any visual info that adds to the text: screenshots of a UI, diagrams
that explain a workflow, charts with data, or a cover that sets the tone.
Do not skip this — images are part of the article.
Pitfalls
Do not assume "articles are paywalled/login-walled." The canonical
/i/article/<ID> endpoint serves plain text; the wall applies to the
JS-rendered profile/status pages, not this endpoint.
A dead X API token (401) is unrelated to article reading — do not block the
task on fixing xurl/auth when web extraction works.
Verify you got the actual article (thesis + body), not just a title + login
prompt, before treating it as read.
Verification
Did the extraction return the article's real prose (title, paragraphs,
thesis) rather than a shell? If yes, it's read.
Report the exact URL you read + a short grounded summary so the user can
verify.
