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 XPOZpublic/xpoz-claude-code-plugin --skill best-practicesgit clone --depth 1 https://github.com/XPOZpublic/xpoz-claude-code-pluginWrote 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/xpozpublic/xpoz-claude-code-plugin/best-practices)<a href="https://agentmods.dev/skills/xpozpublic/xpoz-claude-code-plugin/best-practices"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-claude-code-plugin/best-practices/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/xpozpublic/xpoz-claude-code-plugin/best-practices"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-claude-code-plugin/best-practices.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 | $0.00105 | $0.02301 |
| Opus 5 | $0.00053 | $0.01151 |
| Sonnet 5 | $0.00021 | $0.00460 |
| Haiku 4.5 | $0.00011 | $0.00230 |
Grade A, and why
best-practices 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 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.
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.
This is a copy
94% identical to xpoz-best-practices — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Xpoz Best Practices
Overview
Xpoz is a social media intelligence platform providing access to Twitter/X, Instagram, Reddit, and TikTok data through 48 MCP tools — no social media API keys required.
When to Use
Load this skill for any Xpoz interaction — not just when the user explicitly asks about best practices. It provides the context needed to use Xpoz tools correctly:
- Calling any Xpoz MCP tool (query syntax, field selection, response modes)
- Setting up authentication or tracking
- Troubleshooting errors or empty results
- Choosing which tool to use for a specific task
Quick Start
The Xpoz MCP server should already be configured by the plugin. If not, run /xpoz:getting-started.
See references/authentication.md for detailed auth flows and troubleshooting.
Query Syntax
All keyword search tools support boolean query syntax:
| Operator | Example | Effect |
|---|---|---|
| Exact phrase | "machine learning" |
Matches exact phrase |
| OR | "AI" OR "artificial intelligence" |
Matches either term |
| AND | "Tesla" AND "earnings" |
Matches both terms |
| Grouping | ("deep learning" OR "neural network") AND python |
Combines operators |
Date filtering: Use startDate / endDate in YYYY-MM-DD format. Omit to use defaults (varies by tool).
Content filtering (Twitter only): Set filterOutRetweets: true to exclude retweets.
Forbidden in query string: from:, to:, lang:, since:, until:, filter: — use dedicated parameters instead.
Platform Quick Reference
Twitter/X (13 tools)
| Tool | Purpose |
|---|---|
getTwitterUser / getTwitterUsers |
Look up 1-100 users by ID or username |
searchTwitterUsers |
Fuzzy search users by name |
getTwitterUserConnections |
Get followers or following |
getTwitterUsersByKeywords |
Find users who posted about a topic |
getTwitterPostsByIds |
Get 1-100 posts by ID |
getTwitterPostsByAuthor |
Get all posts from a username |
getTwitterPostsByKeywords |
Search posts by keywords |
getTwitterPostRetweets |
Get retweets of a post |
getTwitterPostQuotes |
Get quote tweets of a post |
getTwitterPostComments |
Get replies to a post |
getTwitterPostInteractingUsers |
Get commenters, quoters, or retweeters |
countTweets |
Count tweets matching a phrase |
What ships with it
7 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.
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 · 218 lines · 105 tokens per session scan A 0eb19fdd1e06
best-practices is a skill published in the GitHub repository XPOZpublic/xpoz-claude-code-plugin (2 stars, last pushed 1mo ago), licensed MIT. It adds 105 tokens to every session and 2,301 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to xpoz-best-practices, differing in 10 lines, and is treated as a copy.
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Reference guide for using Xpoz effectively via MCP. Covers query syntax (boolean operators, date filtering), response modes (fast/paging/CSV), field selection, tracking setup, and all platform tool references (Twitter, Instagram, Reddit, TikTok). Load for ANY Xpoz interaction, not just explicit best-practices…