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 skills add patrick-fu/awesome-skills --skill x-twitter-readergit clone --depth 1 https://github.com/patrick-fu/awesome-skillsWrote 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/patrick-fu/awesome-skills/x-twitter-reader)<a href="https://agentmods.dev/skills/patrick-fu/awesome-skills/x-twitter-reader"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/x-twitter-reader.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.01283 |
| Opus 5 | $0.00017 | $0.00642 |
| Sonnet 5 | $0.00007 | $0.00257 |
| Haiku 4.5 | $0.00003 | $0.00128 |
Grade A, and why
x-twitter-reader 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 8d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X Twitter Reader
Use this skill to acquire source content from X/Twitter. Translation, summarization, critique, or archiving are downstream tasks; first extract the original post, thread, or Article faithfully.
What This Skill Returns
Prefer structured content over visual page scraping. A good extraction includes:
- original source URL and resolved X/Twitter URL when available
- post id, author name, screen name, timestamp, and language
- engagement metrics when available: likes, reposts, replies, quotes, views, bookmarks
- post text and linked URLs
- media references with type, URL, width, and height when available
- long-form Article title and full Article text when present
- reply-thread items when the user asks for thread or conversation context
Do not translate, summarize, or rewrite during extraction unless the user explicitly asks for that downstream output. If the user asks to translate an X URL, first extract with this skill, then translate the extracted content.
Primary Workflow
Prerequisites and privacy boundary:
- Require
uv; check withcommand -v uvand stop if it is unavailable. Do not install it implicitly. - The bundled script pins the PyPI package
twitter-cli==0.8.5and requires Python 3.10+.uvmay download the fixed dependency and a compatible Python into its cache on first run. twitter-climay reuseTWITTER_AUTH_TOKEN/TWITTER_CT0or a logged-in Arc, Chrome, Edge, Firefox, or Brave session. Tell the user before the first credentialed run and obtain approval. Never print or persist cookies or tokens.
-
Normalize the URL:
- Accept only HTTPS
x.comandtwitter.comURLs. - Reject
t.co; ask for the expanded X/Twitter URL instead of following a redirect that may target an unrelated site. - Preserve the original URL in the output metadata.
- Ignore URL query parameters when identifying the status id.
- Accept only HTTPS
-
Run the bundled extractor from this skill directory:
uv run --no-project --python 3.10 scripts/fetch_x_content.py 'https://x.com/user/status/123' --format markdown
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.
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.
- 8d ago First seen · 125 lines · 34 tokens per session scan A 66fa674a2507
x-twitter-reader is a skill published in the GitHub repository patrick-fu/awesome-skills (57 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 1,283 once invoked, about $0.0002 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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