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 social-trackinggit 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/social-tracking)<a href="https://agentmods.dev/skills/xpozpublic/xpoz-claude-code-plugin/social-tracking"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-claude-code-plugin/social-tracking/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/social-tracking"><img src="https://agentmods.dev/badge/skills/xpozpublic/xpoz-claude-code-plugin/social-tracking.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 | $0.00084 | $0.01675 |
| Opus 5 | $0.00042 | $0.00838 |
| Sonnet 5 | $0.00017 | $0.00335 |
| Haiku 4.5 | $0.00008 | $0.00168 |
Grade A, and why
social-tracking 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.
This is a copy
84% identical to xpoz-social-tracking — 88 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Tracking
Overview
Tracking is a best practice for getting more complete data from Xpoz. When you track a keyword, user, subreddit, or hashtag, Xpoz continuously collects data for those items in the background. This means:
- More complete data: Tracked items accumulate data over time, giving you a fuller picture than one-off queries.
- Better coverage: Continuous collection captures posts and activity that a single point-in-time query might miss.
You can track four types of items across platforms:
- Keywords — Track any phrase or topic (e.g., "AI agents", "your brand name"). Xpoz continuously collects posts matching these keywords across the platforms you specify.
- Users — Track specific accounts (e.g., a competitor, influencer, or your own brand handle). Xpoz collects their posts and activity.
- Subreddits (Reddit only) — Track entire subreddit communities to monitor discussions.
- Hashtags (TikTok only) — Track TikTok hashtags to follow trends and campaigns.
When to Use
- "Track mentions of [BRAND] across social media"
- "Set up monitoring for [KEYWORD] on Twitter and Reddit"
- "What keywords am I currently tracking?"
- "Add @competitor to my tracked users on Instagram"
- "Monitor #AIagents on TikTok"
- "Stop tracking [OLD KEYWORD]"
- "How many tracked items can I add?"
Step 1: Check Current Tracking
First, see what's already being tracked.
Call getTrackedItems
Present results as a table:
| Platform | Type | Phrase |
|---|---|---|
| keyword | AI agents | |
| user | competitor_brand | |
| subreddit | machinelearning |
Step 2: Add Tracked Items
Supported Types per Platform
| Platform | keyword | user | subreddit | hashtag |
|---|---|---|---|---|
| Yes | Yes | — | — | |
| Yes | Yes | — | — | |
| Yes | Yes | Yes | — | |
| TikTok | Yes | Yes | — | Yes |
Call addTrackedItems with items:
[
{ "phrase": "AI agents", "type": "keyword", "platform": "twitter" },
{ "phrase": "AI agents", "type": "keyword", "platform": "reddit" },
{ "phrase": "competitor_user", "type": "user", "platform": "instagram" },
{ "phrase": "machinelearning", "type": "subreddit", "platform": "reddit" },
{ "phrase": "aitools", "type": "hashtag", "platform": "tiktok" }
]
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 · 161 lines · 84 tokens per session scan A 28e6a354fdb1
social-tracking is a skill published in the GitHub repository XPOZpublic/xpoz-claude-code-plugin (2 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,675 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to xpoz-social-tracking, differing in 88 lines, and is treated as a copy.
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