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 geo-redditgit 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/geo-reddit)<a href="https://agentmods.dev/skills/xpozpublic/xpoz-agent-skills/geo-reddit"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-agent-skills/geo-reddit/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/geo-reddit"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-agent-skills/geo-reddit.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 | $0.00098 | $0.03538 |
| Opus 5 | $0.00049 | $0.01769 |
| Sonnet 5 | $0.00020 | $0.00708 |
| Haiku 4.5 | $0.00010 | $0.00354 |
Grade A, and why
geo-reddit scanned grade A with 2 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
import secrets, hashlib, base64, urllib.parse, json, urllib.request, os Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run(['mcporter', 'config', 'remove', 'xpoz'], capture_output=True) How it starts
The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Reddit
Overview
Reddit is among the most-cited domains in AI answers, and a helpful comment in a thread the engines already cite inherits that thread's citation. This skill builds a Reddit influence map: the ranked list of subreddits and threads where presence would actually move AI answers for a brand, grounded in two evidence streams. First and most important, the citations themselves: which Reddit URLs the AI engines cite when answering the brand's buyer questions, including the answers where competitors win. Second, the demand side via Xpoz: where those questions are actually asked and which live threads are answerable right now. The output is where and what; a human writes and posts everything.
When to Use
Activate when the user asks:
- "How do I get my brand cited by ChatGPT/Claude/Gemini via Reddit?"
- "Which subreddits matter for [BRAND/CATEGORY]?"
- "Build a Reddit influence map for [PRODUCT]"
- "Where on Reddit should we engage to improve AI visibility?"
- "AI engines cite Reddit for my category. Which threads?"
- "Find Reddit threads worth answering for [TOPIC]"
Setup & Authentication
Before fetching data, ensure Xpoz access is configured. Follow these checks in order.
Check 1: Already authenticated?
If you have MCP tools, try calling any Xpoz tool (e.g., checkAccessKeyStatus). If it works → skip to Step 1.
If you have the SDK, try:
from xpoz import XpozClient
client = XpozClient() # reads XPOZ_API_KEY env var
If this succeeds without error → skip to Step 1.
If neither works, you need to authenticate. Get a free access key (below).
Recommended: a free access key
Real analyses need a real key: get a free access key (free tier, up to 75K results, no credit card). SDK and CLI users set it as XPOZ_API_KEY; MCP connections sign in with the same account via OAuth on first tool call (paths below).
Path A: MCP via mcporter (OpenClaw agents)
If mcporter is available:
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.
- 2d ago Changed · -11 lines scan B → A 3eb60f824a04
- 12d ago First seen · 366 lines · 98 tokens per session scan B 3da12e9bea2c
geo-reddit is a skill published in the GitHub repository XPOZpublic/xpoz-agent-skills (15 stars, last pushed 3d ago), licensed MIT. It adds 98 tokens to every session and 3,538 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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