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 rediumvex/ai-marketing-claude --skill market-emailsgit clone --depth 1 https://github.com/rediumvex/ai-marketing-claudeWrote 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/rediumvex/ai-marketing-claude/market-emails)<a href="https://agentmods.dev/skills/rediumvex/ai-marketing-claude/market-emails"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-emails/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/rediumvex/ai-marketing-claude/market-emails"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-emails.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 | $0.00080 | $0.01526 |
| Opus 5 | $0.00040 | $0.00763 |
| Sonnet 5 | $0.00016 | $0.00305 |
| Haiku 4.5 | $0.00008 | $0.00153 |
Grade A, and why
market-emails 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Emails — Sequence Writer
Produce full, send-ready email sequences. Every email has a purpose, every sequence has a goal, every send has a metric target.
Sequence Types
| Type | Goal | Length | Cadence |
|---|---|---|---|
| Welcome | Activate new signups | 5–7 emails | Day 0, 1, 3, 5, 7, (10, 14) |
| Nurture | Convert warm leads to buyers | 6–8 emails | Every 2–3 days |
| Launch | Drive sales for a new product | 5–7 emails | 14 days: tease → reveal → proof → urgency → cart close |
| Cold outreach | Start B2B conversations | 4–6 touches | Day 0, 3, 7, 14, 21, 30 |
| Cart abandon | Recover lost revenue | 3 emails | 1h, 24h, 72h |
| Re-engagement | Wake inactive subscribers | 3–4 emails | Every 3–4 days |
| Onboarding | Drive product activation | 5–6 emails | Triggered on signup + milestones |
Benchmarks (2024+)
| Metric | B2B | B2C | E-com |
|---|---|---|---|
| Open rate | 25–35% | 20–30% | 18–25% |
| Click rate | 2–5% | 2–4% | 2–5% |
| Reply rate (cold) | 3–10% | — | — |
| Unsubscribe | <0.5% | <0.5% | <0.5% |
| Cart recovery | — | — | 10–25% |
Subject line failure = open rate < benchmark. CTA failure = click rate < benchmark. Offer failure = conversion below expected.
Subject Line Formulas
| Formula | Pattern | Example |
|---|---|---|
| Curiosity | Tease without revealing | "The reporting mistake we all made" |
| Specificity | Number + outcome | "How Jamie cut reports from 8h to 20min" |
| Personal | First name + context | "{{first_name}}, a quick question" |
| Contrarian | Challenge common belief | "Stop A/B testing your headlines" |
| Question | Prompt self-reflection | "Is your funnel actually a funnel?" |
| Urgency | Real deadline | "Last day for the 2025 rate" |
| Social proof | Show outcome | "5,000 teams use this now" |
| Fear of missing out | What others know | "What growth teams are doing in Q2" |
| Pattern interrupt | Unexpected framing | "Ignore this if you're already ranking" |
| Plain text-style | No marketing gloss | "quick question about acme" |
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 · 141 lines · 80 tokens per session scan A 50ac312edbe2
market-emails is a skill published in the GitHub repository rediumvex/ai-marketing-claude (38 stars, last pushed 5mo ago), licensed MIT. It adds 80 tokens to every session and 1,526 once invoked, about $0.0004 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 2026-08-30.
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