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 mrocker/social-data-mcp --skill x-twitter-profile-tweetsgit clone --depth 1 https://github.com/mrocker/social-data-mcpWrote 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/mrocker/social-data-mcp/x-twitter-profile-tweets)<a href="https://agentmods.dev/skills/mrocker/social-data-mcp/x-twitter-profile-tweets"><img src="https://agentmods.dev/badge/skills/mrocker/social-data-mcp/x-twitter-profile-tweets/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.
<a href="https://agentmods.dev/skills/mrocker/social-data-mcp/x-twitter-profile-tweets"><img src="https://agentmods.dev/badge/skills/mrocker/social-data-mcp/x-twitter-profile-tweets.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00064 | $0.00868 |
| Opus 5 | $0.00032 | $0.00434 |
| Sonnet 5 | $0.00013 | $0.00174 |
| Haiku 4.5 | $0.00006 | $0.00087 |
Grade A, and why
x-twitter-profile-tweets scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://api.apify.com/v2/acts/nick.cheng~x-twitter-profile-tweets-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X (Twitter) profiles & tweets
Pay-per-result Apify Actor nick.cheng/x-twitter-profile-tweets-scraper. No login, no cookies,
no X developer key. Charges only for rows that actually came back ($0.005/account, $0.0003/tweet,
$0.005/single-tweet lookup — same on every Apify plan). Needs APIFY_TOKEN
(free account: https://console.apify.com/account/integrations).
When to use
- "What does @handle's profile say / how many followers" →
scrapeProfilesOnly: true - "Latest N tweets from these accounts" →
twitterHandles+maxTweetsPerProfile - "Only tweets with > X likes / containing a phrase" →
minLikes,minViews,textContains,textRegex - "Get this tweet by its URL" →
tweetUrls - "Poll every 15 min, only new tweets" →
incremental: true,stateStoreName
Call it
curl -s -X POST "https://api.apify.com/v2/acts/nick.cheng~x-twitter-profile-tweets-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H 'Content-Type: application/json' \
-d '{"twitterHandles":["nasa"],"maxTweetsPerProfile":20,"minLikes":100}'
Or as an MCP tool: https://mcp.apify.com/?tools=nick.cheng/x-twitter-profile-tweets-scraper.
Input (all optional except one target)
| Field | Meaning |
|---|---|
twitterHandles / startUrls / userIds |
Accounts to scrape |
tweetUrls |
Single tweets by link or numeric ID (no timeline walk) |
maxTweetsPerProfile |
Per-account cap, default 100; 0 = profile only |
scrapeProfilesOnly |
Cheapest mode for bulk enrichment |
since / until |
ISO dates; since stops paging early |
minLikes / minRetweets / minReplies / minViews / minTextLength |
Engagement floors; filtered tweets are not charged |
textContains / excludeTextContains / textRegex |
Text filters, case-insensitive |
incremental / stateStoreName / sinceId |
Resume after the newest tweet seen last run |
includeReplies / includeRetweets / onlyWithMedia |
Type filters |
maxItems |
Hard cap on rows for the run |
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.
- 10d ago First seen · 60 lines · 64 tokens per session scan A 0621cfe000dc
x-twitter-profile-tweets is a skill published in the GitHub repository mrocker/social-data-mcp (0 stars, last pushed 12d ago), licensed MIT. It adds 64 tokens to every session and 868 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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