What is xquik-social-data?

A guide for preparing Xquik social-data requests and normalizing their results. Xquik provides data about X, the social network formerly known as Twitter, including tweets and trends.

Use it to prepare tweet searches and lookups, request trend data, or convert supplied Xquik JSON into compact records for other tools.

It turns search, lookup, and trend requests into consistent plans or compact records without mixing API authentication into the data-preparation step.

xquik-social-data — Skill for Claude Code and Codex by sarveshtalele

Install

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.

Any agent

npx skills add sarveshtalele/mcp-skills-registry --skill xquik-social-data

Clone the repo

git clone --depth 1 https://github.com/sarveshtalele/mcp-skills-registry

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/xquik-social-data/github.svg)](https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/xquik-social-data)

Your own site

<a href="https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/xquik-social-data"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/xquik-social-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/xquik-social-data"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/xquik-social-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 681 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00068	$0.00681
Opus 5	$0.00034	$0.00341
Sonnet 5	$0.00014	$0.00136
Haiku 4.5	$0.00007	$0.00068

Measured 12d ago against content hash df6dac80ad7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/__init__.py, scripts/main.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/xquik-social-data/SKILL.md · 91 lines

What it actually says

Build Xquik API request plans and normalize supplied Xquik response JSON into compact records for MCP tools and downstream analysis.

Operations

tweet_search prepares GET /api/v1/x/tweets/search.
tweet_lookup prepares GET /api/v1/x/tweets/{id}.
trends prepares GET /api/v1/x/trends.
normalize_tweets converts supplied tweet response JSON into compact records.

The skill does not make network calls. Add the API key only in the client that executes the returned request plan.

Files

What ships with it

3 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.

Changes

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.

12d ago First seen · 91 lines · 68 tokens per session scan A df6dac80ad7c

Subscribe to this mod's changes

xquik-social-data is a skill published in the GitHub repository sarveshtalele/mcp-skills-registry (2 stars, last pushed 11d ago), licensed MIT. It adds 68 tokens to every session and 681 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 2026-08-31.

Analytics and metrics HuggingFace LLM ai-agents claude fastapi github-copilot mcp normalization social-data twitter x xquik