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.
git clone --depth 1 https://github.com/thatrebeccarae/claude-marketingWrote 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/thatrebeccarae/claude-marketing/cold-email-outreach)<a href="https://agentmods.dev/rules/thatrebeccarae/claude-marketing/cold-email-outreach"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/cold-email-outreach/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/rules/thatrebeccarae/claude-marketing/cold-email-outreach"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/cold-email-outreach.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 | $0.00053 | $0.01273 |
| Opus 5 | $0.00026 | $0.00636 |
| Sonnet 5 | $0.00011 | $0.00255 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
cold-email-outreach 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 10d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold Email & Outreach
Design, optimize, and scale cold email outreach with high deliverability and compliance.
Deliverability Fundamentals
Authentication (Required)
| Record | Purpose | Check |
|---|---|---|
| SPF | Authorizes sending servers | dig TXT domain.com |
| DKIM | Cryptographic message signing | DKIM selector lookup |
| DMARC | Policy for failed auth | dig TXT _dmarc.domain.com |
Domain Warming
New domains or IPs need gradual volume ramp:
| Week | Daily Volume | Notes |
|---|---|---|
| 1 | 5-10 | Known contacts only |
| 2 | 15-25 | Mix of known and new |
| 3 | 30-50 | Monitor bounce/spam rates |
| 4 | 50-100 | Scale if rates healthy |
| 5+ | 100-200 | Max per domain/day |
Dedicated sending domain: Use a subdomain (outreach.company.com) to protect your primary domain reputation.
Health Benchmarks
| Metric | Healthy | Warning | Critical |
|---|---|---|---|
| Bounce rate | <2% | 2-5% | >5% |
| Spam complaint | <0.1% | 0.1-0.3% | >0.3% |
| Open rate | >40% | 20-40% | <20% |
| Reply rate | >5% | 2-5% | <2% |
Sequence Design
Optimal Sequence Structure
Email 1 (Day 0) — Value-first introduction
Email 2 (Day 3) — Follow-up with new angle
Email 3 (Day 7) — Social proof / case study
Email 4 (Day 14) — Breakup email (last attempt)
Timing
- Best send days: Tuesday, Wednesday, Thursday
- Best send times: 8-10am recipient timezone
- Avoid: Monday morning, Friday afternoon, weekends
- Follow-up spacing: 3-5 days between emails (never daily)
Subject Line Formulas
| Formula | Example | Open Rate |
|---|---|---|
| Question | "Quick question about [company] growth?" | High |
| Mutual connection | "Saw your talk at [event]" | Very high |
| Specific result | "[Company] could save $40K/year on [X]" | High |
| Curiosity | "Idea for [specific initiative]" | Medium-high |
| Direct | "15-min call about [pain point]?" | Medium |
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.
- 10d ago First seen · 144 lines · 53 tokens per session scan A 57ae659912fa
cold-email-outreach is a cursor rule published in the GitHub repository thatrebeccarae/claude-marketing (134 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 1,273 once invoked, about $0.0003 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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