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 YangsonHung/awesome-agent-skills --skill xquik-datagit clone --depth 1 https://github.com/YangsonHung/awesome-agent-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/yangsonhung/awesome-agent-skills/xquik-data)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/xquik-data"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/xquik-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/yangsonhung/awesome-agent-skills/xquik-data"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/xquik-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 | $0.00032 | $0.00927 |
| Opus 5 | $0.00016 | $0.00464 |
| Sonnet 5 | $0.00006 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
xquik-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 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.
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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Xquik Data
Overview
Use Xquik as a source-backed X/Twitter data workflow layer. This skill helps an agent choose between the REST API, OpenAPI schema, MCP server, SDKs, and webhooks, then return traceable output with clear setup gaps.
When to Use
Use this skill when the user asks for:
- Collecting X/Twitter posts, profiles, trends, monitors, or extraction results through Xquik
- Building an agent workflow around the Xquik REST API, OpenAPI schema, MCP server, SDKs, or webhooks
- Turning Xquik results into a report, table, exported dataset, or monitoring handoff
- Checking which Xquik integration surface best fits a task
Do not use
Do not use this skill for:
- Private messages, non-public data, or login-gated content the user is not authorized to access
- Guessing endpoint behavior without checking Xquik docs or the OpenAPI schema
- Posting, deleting, or changing accounts unless the user explicitly asks and has authorized the action
- Bypassing platform rules, access controls, or rate limits
Instructions
-
Identify the user's goal.
- Classify the task as
extract,monitor,report,webhook,mcp,sdk, orapi-design. - Note the required entities: keywords, accounts, post URLs, date range, output format, and refresh cadence.
- Ask for missing required inputs before claiming a run can proceed.
- Classify the task as
-
Pick the integration surface.
- Use the docs at
https://docs.xquik.com/api-reference/overviewfor REST API workflow design. - Use
https://xquik.com/openapi.jsonwhen endpoint names, request fields, or response shapes matter. - Use
https://docs.xquik.com/mcp/overviewwhen the user wants an agent-native MCP connection. - Use webhooks when the user needs event delivery instead of polling.
- Use the docs at
-
Check access and secrets safely.
- Confirm whether the user already has an Xquik API key, MCP configuration, SDK client, or webhook secret.
- Never print, store, or repeat API keys or webhook secrets.
- If credentials are missing, prepare the exact setup steps without inventing a key.
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 · 102 lines · 32 tokens per session scan A c4819ff5efa3
xquik-data is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 927 once invoked, about $0.0002 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 2026-08-30.
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