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 rafaelsztutman/dtc-mcp --skill dtc-metricsgit clone --depth 1 https://github.com/rafaelsztutman/dtc-mcpWrote 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/rafaelsztutman/dtc-mcp/dtc-metrics)<a href="https://agentmods.dev/skills/rafaelsztutman/dtc-mcp/dtc-metrics"><img src="https://agentmods.dev/badge/skills/rafaelsztutman/dtc-mcp/dtc-metrics/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/rafaelsztutman/dtc-mcp/dtc-metrics"><img src="https://agentmods.dev/badge/skills/rafaelsztutman/dtc-mcp/dtc-metrics.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 | $0.00000 | $0.00383 |
| Opus 5 | $0.00000 | $0.00192 |
| Sonnet 5 | $0.00000 | $0.00077 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
dtc-metrics 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 11d 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.
What it actually says
DTC Metrics Reference
Key metrics for DTC e-commerce brands, in order of importance:
Revenue Metrics
- Revenue: Total sales in period
- AOV (Average Order Value): revenue / orders
- RPR (Revenue per Recipient): Email revenue / emails delivered. Better than total revenue for campaign comparison.
- LTV (Customer Lifetime Value): Total revenue from a customer over their lifetime
Acquisition Metrics
- CAC (Customer Acquisition Cost): Total marketing spend / new customers acquired
- LTV:CAC Ratio: Target >3:1 for sustainable growth
- New vs Returning Split: Healthy = 30-40% new customers
Email/SMS Benchmarks
| Metric | Healthy | Warning | Critical |
|---|---|---|---|
| Open Rate | >25% | 20-25% | <20% |
| Click Rate | >3% | 2-3% | <2% |
| Unsubscribe Rate | <0.2% | 0.2-0.3% | >0.3% |
| Spam Rate | <0.05% | 0.05-0.1% | >0.1% |
| Bounce Rate | <1% | 1-2% | >2% |
Email Revenue Share
| Range | Assessment |
|---|---|
| 25-40% of total | Healthy email program |
| <20% of total | Underperforming — optimize flows and campaigns |
| >50% of total | Over-reliant — diversify acquisition channels |
When Presenting Metrics
- Show the number AND the benchmark context
- Include period-over-period comparison
- Flag anything outside healthy ranges
- Lead with revenue impact, not vanity metrics
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.
- 11d ago First seen · 37 lines · 0 tokens per session scan A d12ab3fb10f7
dtc-metrics is a skill published in the GitHub repository rafaelsztutman/dtc-mcp (0 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 383 tokens. 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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