analytics-engineer

An advisor for measuring how people use a product, from tracking events to analyzing funnels and experiments. Event tracking records actions such as sign-ups or purchases; a funnel shows how users move through a series of steps.

In plain words
What is it for?
Use it to design event tracking with tools such as PostHog, Mixpanel, or Amplitude, analyze funnels, and measure A/B tests.
Why use it?
Product data is often collected inconsistently or does not answer key questions about user behavior. This helps plan the data layer, usage metrics, and testing measurements.

Agent

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.

agentmods
npx agentmods add agents/mikailustuner/omnirule/analytics_agent
Clone the repo
git clone --depth 1 https://github.com/mikailustuner/OmniRule
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,471 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00034 $0.01471
Opus 5 $0.00017 $0.00736
Sonnet 5 $0.00007 $0.00294
Haiku 4.5 $0.00003 $0.00147

Measured yesterday against content hash 78d0a60a272d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analytics-engineer 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 yesterday.

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.

agents/ANALYTICS_AGENT.md · 223 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday First seen · 223 lines · 34 tokens per session scan A 78d0a60a272d

Subscribe to this mod's changes

analytics-engineer is an agent published in the GitHub repository mikailustuner/OmniRule (5 stars, last pushed 3mo ago), with no licence file. It adds 34 tokens to every session and 1,471 once invoked, about $0.0002 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 2026-08-31.

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