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-agent-skills --skill xpoz-best-practicesgit clone --depth 1 https://github.com/XPOZpublic/xpoz-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/xpozpublic/xpoz-agent-skills/xpoz-best-practices)<a href="https://agentmods.dev/skills/xpozpublic/xpoz-agent-skills/xpoz-best-practices"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-agent-skills/xpoz-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-agent-skills/xpoz-best-practices"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-agent-skills/xpoz-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00113 | $0.02969 |
| Opus 5 | $0.00056 | $0.01484 |
| Sonnet 5 | $0.00023 | $0.00594 |
| Haiku 4.5 | $0.00011 | $0.00297 |
Grade A, and why
xpoz-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 12d 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 — 278 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 MCP tools, Python SDK, TypeScript SDK, and CLI — 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)
- Writing code with the Python or TypeScript SDK
- Using the Xpoz CLI
- Setting up authentication or tracking
- Troubleshooting errors or empty results
- Choosing which tool to use for a specific task
Quick Start
MCP — add the Xpoz MCP server to your agent's config. The server URL is https://mcp.xpoz.ai/mcp. Most MCP clients handle OAuth automatically on first tool call.
Example for Claude Code (~/.claude.json):
{
"mcpServers": {
"xpoz": {
"url": "https://mcp.xpoz.ai/mcp",
"transport": "streamable-http"
}
}
}
Python SDK:
pip install xpoz
from xpoz import XpozClient
client = XpozClient() # reads XPOZ_API_KEY env var
results = client.twitter.search_posts("artificial intelligence")
print(f"Found {results.pagination.total_rows:,} tweets")
client.close()
TypeScript SDK:
npm install @xpoz/xpoz
import { XpozClient } from "@xpoz/xpoz";
const client = new XpozClient();
await client.connect();
const results = await client.twitter.searchPosts("artificial intelligence");
console.log(`Found ${results.pagination.totalRows.toLocaleString()} tweets`);
await client.close();
CLI:
pip install xpoz-cli
xpoz-cli twitter search_posts --query "artificial intelligence" --limit 20
See references/authentication.md for detailed auth flows (MCP, SDK, CLI). See references/sdk.md for complete Python & TypeScript SDK reference. See references/cli.md for CLI installation, commands, and rendering modes.
What ships with it
8 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.
- 12d ago First seen · 278 lines · 113 tokens per session scan A 034e197e8c66
xpoz-best-practices is a skill published in the GitHub repository XPOZpublic/xpoz-agent-skills (15 stars, last pushed 3d ago), licensed MIT. It adds 113 tokens to every session and 2,969 once invoked, about $0.0006 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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