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/reymerekar7/rm-skills/twitter-readernpx skills add reymerekar7/rm-skills --skill twitter-readergit clone --depth 1 https://github.com/reymerekar7/rm-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/reymerekar7/rm-skills/twitter-reader)<a href="https://agentmods.dev/skills/reymerekar7/rm-skills/twitter-reader"><img src="https://agentmods.dev/badge/skills/reymerekar7/rm-skills/twitter-reader.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 | $0.00056 | $0.00433 |
| Opus 5 | $0.00028 | $0.00217 |
| Sonnet 5 | $0.00011 | $0.00087 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
twitter-reader 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 6d 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.
For a single tweet, use curl directly: This is a copy
100% identical to twitter-reader — 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.
What it actually says
Twitter Reader
Fetch Twitter/X post content without needing JavaScript or authentication.
Prerequisites
You need a Jina API key to use this skill:
- Visit https://jina.ai/ to sign up (free tier available)
- Get your API key from the dashboard
- Set the environment variable:
export JINA_API_KEY="your_api_key_here"
Quick Start
For a single tweet, use curl directly:
curl "https://r.jina.ai/https://x.com/USER/status/TWEET_ID" \
-H "Authorization: Bearer ${JINA_API_KEY}"
For multiple tweets, use the bundled script:
scripts/fetch_tweets.sh url1 url2 url3
What Gets Returned
- Title: Post author and content preview
- URL Source: Original tweet link
- Published Time: GMT timestamp
- Markdown Content: Full post text with media descriptions
Bundled Scripts
fetch_tweet.py
Python script for fetching individual tweets.
python scripts/fetch_tweet.py https://x.com/user/status/123 output.md
fetch_tweets.sh
Bash script for batch fetching multiple tweets.
scripts/fetch_tweets.sh \
"https://x.com/user/status/123" \
"https://x.com/user/status/456"
URL Formats Supported
https://x.com/USER/status/IDhttps://twitter.com/USER/status/IDhttps://x.com/...(redirects work automatically)
Environment Variables
JINA_API_KEY: Required. Your Jina.ai API key for accessing the reader API
What ships with it
4 files 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.
- 6d ago First seen · 73 lines · 56 tokens per session scan A b3b1f6b15e0a
twitter-reader is a skill published in the GitHub repository reymerekar7/rm-skills (37 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 433 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to twitter-reader, differing in 0 lines, and is treated as a copy.
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