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 cmj-hub/claude-cold-email --skill cold-email-subject-linesgit clone --depth 1 https://github.com/cmj-hub/claude-cold-emailWrote 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/cmj-hub/claude-cold-email/cold-email-subject-lines)<a href="https://agentmods.dev/skills/cmj-hub/claude-cold-email/cold-email-subject-lines"><img src="https://agentmods.dev/badge/skills/cmj-hub/claude-cold-email/cold-email-subject-lines/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/cmj-hub/claude-cold-email/cold-email-subject-lines"><img src="https://agentmods.dev/badge/skills/cmj-hub/claude-cold-email/cold-email-subject-lines.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 | $0.00087 | $0.00936 |
| Opus 5 | $0.00044 | $0.00468 |
| Sonnet 5 | $0.00017 | $0.00187 |
| Haiku 4.5 | $0.00009 | $0.00094 |
Grade A, and why
cold-email-subject-lines 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 2d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold Email Subject Lines — 4-Framework Pattern Library
Loaded by cold-email when the user wants subject-line suggestions or
critique.
Activation triggers
- "Subject lines for..."
- "Subject line ideas"
- "Critique this subject"
- "Better subject than..."
- "What's a good subject for..."
The 4 framework families
| Framework | When to use | Example |
|---|---|---|
| Pain | Audience is problem-aware | "Pipeline gap after the Q3 hire freeze?" |
| Curiosity | Audience needs a hook before they'll open | "What tried after their Series B" |
| Social proof | Audience trusts other companies more than vendors | "How hit 40% reply rate" |
| Direct | Audience is short on time, you have a clear ask | "15 min Thursday re: demand gen?" |
The skill's job: given a draft cold email (or a target audience + EVP), suggest 3-5 subject lines spanning at least 2 frameworks.
Constraints (every subject)
- ≤7 words (Gmail truncates around 30 chars mobile)
- No ALL CAPS
- No emojis (deliverability)
- No
Re:/Fwd:fakes (banned by bulk-sender rules) - No clickbait ("You won't believe...", "This one trick...")
- No spam triggers — load
references/spam-trigger-words.mdfor the list - Personalization (first name, company) where relevant — but not faked
- Lowercase first letter often outperforms capitalized in B2B (test)
Workflow
1. Gather context
| Input | Why needed |
|---|---|
audience (PSP description) |
Determines which framework family fits |
evp |
Anchors social-proof and pain framings |
intent (open / reply / book) |
Direct frameworks work better for booking |
relationship (cold / re-engagement / referred) |
Different opening patterns |
2. Generate 5 suggestions
Default: 1-2 per framework family (3-5 total). Order by predicted fit, not framework alphabetical.
| # | Framework | Subject | Notes |
|---|---|---|---|
| 1 | Pain | "Pipeline gap after the freeze?" | Anchors PSP directly; for problem-aware audience |
| 2 | Social proof | "How <peer> hit 40% reply rate" | Best if you have the case study |
| 3 | Curiosity | "<peer> tried this after Series B" | If audience is skeptical of direct claims |
| 4 | Direct | "15 min Thursday re: demand gen?" | If they're warm or you have signal-based timing |
| 5 | Pain | "Q3 demand gen plan question" | Conservative; fits exec inboxes |
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.
- 2d ago Changed 97f154b96aa3
- 11d ago First seen · 104 lines · 87 tokens per session scan A f3f77640686a
cold-email-subject-lines is a skill published in the GitHub repository cmj-hub/claude-cold-email (2 stars, last pushed 2d ago), licensed MIT. It adds 87 tokens to every session and 936 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 2026-08-31.
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