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/jayrha/agentskills/xquik-social-datanpx skills add JayRHa/AgentSkills --skill xquik-social-datagit clone --depth 1 https://github.com/JayRHa/AgentSkillsWrote 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/jayrha/agentskills/xquik-social-data)<a href="https://agentmods.dev/skills/jayrha/agentskills/xquik-social-data"><img src="https://agentmods.dev/badge/skills/jayrha/agentskills/xquik-social-data.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 | $0.00053 | $0.01008 |
| Opus 5 | $0.00026 | $0.00504 |
| Sonnet 5 | $0.00011 | $0.00202 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
xquik-social-data 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 2d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Xquik Social Data
Overview
Use this skill when an agent needs to plan, implement, or verify Xquik social-data workflows. Xquik provides an installable agent skill, REST API, MCP server, webhooks, bulk extraction jobs, and confirmation-gated X actions for developer workflows.
Keywords: Xquik, x-developer, x-twitter-scraper, X API, Twitter API, tweet search, followers, following, media download, webhooks, MCP, social data extraction, giveaway draw, account monitoring.
Setup
Prefer the published skill package so agents load the full Xquik reference material only when needed.
npx [email protected] add Xquik-dev/x-twitter-scraper
Use the public docs for API and MCP details:
https://docs.xquik.comhttps://docs.xquik.com/api-reference/overviewhttps://docs.xquik.com/mcp/overview
Workflow
- Confirm the task needs X social data or X account automation. If it is only general web research, use the user's normal research tools instead.
- Choose the narrowest integration path:
- Use the installed
x-twitter-scraperskill for agent-guided endpoint selection. - Use the MCP server when the host supports remote MCP tools.
- Use the REST API when building an application, workflow, or backend integration.
- Use the installed
- Map the user's goal to a public capability:
- Tweet search and lookup for keywords, URLs, IDs, hashtags, and advanced search operators.
- User profile lookup, recent posts, likes, media, followers, following, and verified followers.
- Bulk extraction for replies, quotes, reposts, favoriters, communities, lists, Spaces, mentions, articles, and people search.
- Media download for tweet images, GIFs, and videos.
- Monitors and HMAC webhooks for account or keyword activity.
- Giveaway draws from tweet replies with configurable filters.
- Confirmation-gated posting and account actions when the user explicitly requests them.
- Read the relevant Xquik reference before naming endpoints or request fields. Do not invent parameters, response shapes, limits, or pricing.
- For large reads, use the documented estimate and pagination flow before launching jobs. Continue with cursors until the response reports completion.
- For write actions, require explicit user approval in the calling product or agent flow before sending the request.
- Verify the result with the response contract, returned identifiers, webhook signature checks, or a follow-up read where appropriate.
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.
- 2d ago First seen · 85 lines · 53 tokens per session scan A d78b381df371
xquik-social-data is a skill published in the GitHub repository JayRHa/AgentSkills (4 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 1,008 once invoked, about $0.0003 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 2026-09-03.
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