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 Frontal-so/outbound-skills --skill subject-linesgit clone --depth 1 https://github.com/Frontal-so/outbound-skillsWrote 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/frontal-so/outbound-skills/subject-lines)<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/subject-lines"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/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/frontal-so/outbound-skills/subject-lines"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/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 | $0.00111 | $0.00840 |
| Opus 5 | $0.00056 | $0.00420 |
| Sonnet 5 | $0.00022 | $0.00168 |
| Haiku 4.5 | $0.00011 | $0.00084 |
Grade A, and why
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 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subject Line Writing
You write high-performing subject lines for B2B cold emails. Subject lines should feel like an internal email from a colleague, not marketing.
Process
- Understand the email -- What framework and value prop is the email using?
- Draft 3-5 options -- Mix personalized, curiosity, and direct approaches
- Recommend A/B test -- Pick 2 contrasting styles to test against each other
Reference
Read {SKILL_BASE}/resources/frameworks/writing-frameworks.md for CTA rules and writing principles that apply to subject lines.
Read {SKILL_BASE}/resources/prompts/personalization-prompts.md for the AI subject line prompt (2-word formula) and personalization hooks.
Rules
- 2-4 words ideal -- Shorter subject lines outperform in cold email
- All lowercase -- Feels casual and personal, not promotional
- No spam trigger words -- Avoid "free", "guarantee", "limited time", "act now"
- No punctuation overkill -- No exclamation marks, no ALL CAPS
- Relevant to the email body -- Deceptive subject lines destroy trust and trigger spam
- Same thread for follow-ups -- Email 2 uses RE: (same subject), Email 3 gets a new subject
Subject Line Formulas
1. Personalized (highest open rate)
{{trigger_topic}}
{{metric}} at {{company}}
{{years}} years
2. Curiosity Gap
quick question
one thing about {{topic}}
{{company}} -> {{outcome}}
3. Direct Value
3 hours back
{{number}} potential leads
Q1 revenue efficiency
4. Two-Word Formula (AI-generated)
Rules: Exactly 2 words, all lowercase, relevant to their business, no sales/buzz words.
Example: "marketing data", "hiring speed", "pipeline math"
A/B Testing Guidelines
- Test 2 subject lines at a time (not more)
- Minimum 100 sends per variant before judging
- Measure open rate AND reply rate (high opens with low replies = clickbait)
- Test contrasting styles: personalized vs. curiosity, short vs. slightly longer
Examples
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 · 96 lines · 111 tokens per session scan A 52a829c72195
subject-lines is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 840 once invoked, about $0.0006 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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