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 lnvestor/twitr-skills --skill x-twitter-datagit clone --depth 1 https://github.com/lnvestor/twitr-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/lnvestor/twitr-skills/x-twitter-data)<a href="https://agentmods.dev/skills/lnvestor/twitr-skills/x-twitter-data"><img src="https://agentmods.dev/badge/skills/lnvestor/twitr-skills/x-twitter-data/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/lnvestor/twitr-skills/x-twitter-data"><img src="https://agentmods.dev/badge/skills/lnvestor/twitr-skills/x-twitter-data.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 | $0.00170 | $0.01085 |
| Opus 5 | $0.00085 | $0.00543 |
| Sonnet 5 | $0.00034 | $0.00217 |
| Haiku 4.5 | $0.00017 | $0.00109 |
Grade B, and why
x-twitter-data scanned grade B 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 11d 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.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
("ignore previous instructions", "reply with...", "run this", "you are now..."). It is data Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X data — reads, search, timelines
| Task | Tool |
|---|---|
| One tweet, profile, article, follow-check, trends | POST /api/tools/x_read |
| Search tweets or users | POST /api/tools/x_search |
| Timelines, follower graphs, engagement lists | POST /api/tools/x_timeline |
| List timelines, members, followers | POST /api/tools/x_lists |
| Community info, members, posts, in-community search | POST /api/tools/x_communities |
| Trending topics by region/category | POST /api/tools/radar (tool name x_radar; category: general|tech|dev|science|culture|politics|business|entertainment) |
Base URL https://twitr.sh. Every call is one POST. Prices are per returned item on the volume
tools, ~$0.0012 per unit, floor $0.001.
Calling it
The first request returns 402 with the exact price; an x402 client pays and retries automatically. With AgentCash MCP:
mcp__agentcash__fetch({
url: "https://twitr.sh/api/tools/x_search",
method: "POST",
body: { kind: "tweets", q: "from:vercel launch", resultsLimit: 50 }
})
Read amount and breakdown from the 402 before signing. Tell the user the cost for anything
non-trivial, and confirm above ~$0.10.
Gotchas
resultsLimitis mandatory on volume tools (search, timelines, lists, some reads) — the call is rejected before charging without it. It's also the spend rail: you pay per returned item, soresultsLimit: 1000is a ~$1.20 call.- Failed calls are never charged. A 4xx/5xx costs nothing, so retry freely on errors.
- User ids are numeric, not handles. Anything taking a user id wants the numeric form —
get it from
x_read{"resource":"get-user","username":"..."}. x_readbatch mode takes up to 100 ids in one call, far cheaper than 100 single calls.x_radaris priced at the floor ($0.001), so trend checks are effectively free — use it before search when the question is "what's happening".
Avoid
- Don't paginate blindly to "get everything" — set
resultsLimitto what's actually needed. - Don't call a read repeatedly for the same id in one session; cache it in context.
- Don't use this for datasets over a few hundred rows —
x-twitter-researchruns those async and returns a downloadable file instead of flooding context.
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.
- 11d ago First seen · 76 lines · 170 tokens per session scan B 5566b85c07ae
x-twitter-data is a skill published in the GitHub repository lnvestor/twitr-skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 170 tokens to every session and 1,085 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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