xpoz-best-practices

xpoz-best-practices is a skill for Claude Code from XPOZpublic/xpoz-agent-skills. It costs 113 tokens per session (2,969 once invoked), scanned A, original, MIT.

A reference guide for using Xpoz, a service that searches social-media data from Twitter/X, Instagram, Reddit, and TikTok. It covers its tools, software libraries, command-line interface, queries, fields, and pagination.

In plain words
What is it for?
Use it when querying Xpoz, writing Python or TypeScript code with its software libraries, using its command-line tool, setting up access, or tracking social-media data.
Why use it?
It helps agents form valid searches, retrieve the needed fields, handle multiple result pages, and troubleshoot missing or empty results.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions Claude Code.

Part of the xpoz plugin — 14 skills shipped together

Good fit Use it when querying Xpoz, writing Python or TypeScript code with its software libraries, using its command-line tool, setting up access, or tracking social-media data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xpozpublic/xpoz-agent-skills/xpoz-best-practices
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 XPOZpublic/xpoz-agent-skills --skill xpoz-best-practices
Clone the repo
git clone --depth 1 https://github.com/XPOZpublic/xpoz-agent-skills

Made for: Claude Code.

Or install xpoz, the plugin that ships this one along with the rest of its 14 skills.

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.

agentmods badge for xpoz-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/xpozpublic/xpoz-agent-skills/xpoz-best-practices/github.svg)](https://agentmods.dev/skills/xpozpublic/xpoz-agent-skills/xpoz-best-practices)
Your own site
<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.

agentmods 80×15 button for xpoz-best-practices

Your own site · 80×15
<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>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,969 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce 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

Measured 12d ago against content hash 034e197e8c66, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/xpoz-best-practices/SKILL.md · 278 lines

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.

Read the full file on GitHub · 278 lines

Files

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.

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.

  1. 12d ago First seen · 278 lines · 113 tokens per session scan A 034e197e8c66

Subscribe to this mod's changes

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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