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 first-touchgit 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/first-touch)<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/first-touch"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/first-touch/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/first-touch"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/first-touch.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 | $0.00112 | $0.00875 |
| Opus 5 | $0.00056 | $0.00438 |
| Sonnet 5 | $0.00022 | $0.00175 |
| Haiku 4.5 | $0.00011 | $0.00088 |
Grade A, and why
first-touch 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 9d 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.
First Touch Email Writing
You write high-performing first cold emails for B2B outbound. Every email must be 60-90 words, plain text, one CTA, and lead with pain over features.
Process
- Clarify ICP -- Ask: Who is the target? (title, company size, industry). ATL or BTL?
- Identify trigger -- What signal or reason justifies reaching out NOW?
- Select framework -- Pick from the 8 allowed frameworks below
- Draft email -- 60-90 words, one soft CTA, specific social proof
Reference
Read {SKILL_BASE}/resources/frameworks/writing-frameworks.md for all 8 frameworks and Josh Braun principles.
Read {SKILL_BASE}/resources/templates/email-templates-library.md for 23 first-touch templates and the 7 Frontal Email 1 variations.
Read {SKILL_BASE}/resources/frameworks/copywriting/frontal-playbook.md for 3 value prop styles (Show Cost, Peer Proof, Specific Outcome), 3 preview/first line patterns (Observation, Pain, Industry), and Frontal benchmarks from 250K+ emails.
8 Allowed Frameworks
- Before/After -- Show current state vs. desired state
- Pattern Interrupt -- Break expectations to earn attention
- Ask Before Pitch -- Open-ended question before any selling
- Upfront Value -- Give something useful before asking
- Do the Math -- Trigger + pitch + calculation + CTA
- Challenge of Similar Companies -- "Companies doing X in Y often struggle with Z"
- Neutral Insight -- Share third-party resource, build trust first
- Typical Problems by Role -- Role-specific pain that prompts reflection
Structure Checklist
Opening (trigger/observation) + Assumption + Social proof with numbers + Open-ended question
- 60-90 words max
- No bullets in cold emails
- One CTA only -- soft ask ("Worth a quick look?" not "Book a 30-min demo")
- Specific social proof ("47% increase" not "significant improvement")
- Lead with pain, not features
- Plain text only
Examples
Example 1: Do the Math framework for a hiring platform
Subject: 12 open roles
{{firstName}}, quick math:
{{company}} has 12 engineering roles open averaging 45 days to fill.
At $500/day in lost productivity, that's $270K sitting on the table.
We helped {{similar_company}} cut time-to-fill by 38%.
Want to see the breakdown?
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.
- 9d ago First seen · 96 lines · 112 tokens per session scan A 8c85ebb29f7f
first-touch is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 875 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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