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 agentmods add rules/rajitsaha/100xprism/analytics-trackinggit clone --depth 1 https://github.com/rajitsaha/100xprismWrote 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/rules/rajitsaha/100xprism/analytics-tracking)<a href="https://agentmods.dev/rules/rajitsaha/100xprism/analytics-tracking"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/analytics-tracking.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.01719 |
| Opus 5 | $0.00016 | $0.00860 |
| Sonnet 5 | $0.00006 | $0.00344 |
| Haiku 4.5 | $0.00003 | $0.00172 |
Grade A, and why
analytics-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 today.
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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics Tracking
Initial Assessment
Product context: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it first and tailor output to it; only ask for what it doesn't cover.
Establish:
- Business Context - What decisions will this data inform? What are key conversions?
- Current State - What tracking exists? What tools are in use?
- Technical Context - What's the tech stack? Any privacy/compliance requirements?
Core Principles
1. Track for Decisions, Not Data
Every event should inform a decision. Avoid vanity metrics. Quality > quantity of events.
2. Start with the Questions
What do you need to know, and what actions will you take on it? Work backwards to what to track.
3. Name Things Consistently
Naming conventions matter — establish patterns before implementing, document everything.
4. Maintain Data Quality
Validate implementation, monitor for issues. Clean data > more data.
Tracking Plan Framework
Structure
Event Name | Category | Properties | Trigger | Notes
---------- | -------- | ---------- | ------- | -----
Event Types
| Type | Examples |
|---|---|
| Pageviews | Automatic, enhanced with metadata |
| User Actions | Button clicks, form submissions, feature usage |
| System Events | Signup completed, purchase, subscription changed |
| Custom Conversions | Goal completions, funnel stages |
Comprehensive event lists: references/event-library.md
Event Naming Conventions
Recommended Format: Object-Action
signup_completed
button_clicked
form_submitted
article_read
checkout_payment_completed
Best Practices
Lowercase with underscores; no spaces or special characters. Be specific: cta_hero_clicked vs. button_clicked. Put context in properties, not the event name. Document decisions.
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.
- today First seen · 283 lines · 32 tokens per session scan A 56d64c0e49fc
analytics-tracking is a cursor rule published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 4d ago), licensed MIT. It adds 32 tokens to every session and 1,719 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 2026-09-03.
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