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 swan-gtm/gtm-skills --skill frontal-messaging-templatesgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/frontal-messaging-templates)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/frontal-messaging-templates"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/frontal-messaging-templates/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/swan-gtm/gtm-skills/frontal-messaging-templates"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/frontal-messaging-templates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00065 | $0.00754 |
| Opus 5 | $0.00032 | $0.00377 |
| Sonnet 5 | $0.00013 | $0.00151 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
frontal-messaging-templates 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 13d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontal Messaging Templates
1. Ask Before Pitch (Will Allred)
Open-ended question → Trigger/observation → How product solves → PS relevance
Example:
How are you currently handling [challenge]?
Noticed [trigger/observation about their company].
We help companies like yours [solution].
PS - Relevant because [specific trigger]
2. Not Too Different Persona
"I work with [similar ICP], they struggle with [problem]..."
Example:
I work with B2B SaaS companies doing $2-5M ARR.
They usually struggle with pipeline predictability.
Is that something you're dealing with at {{company}}?
3. Upfront Value (Jordan Crawford)
"Here's [value offering], hope it was helpful..."
Example:
Here's a quick breakdown of your top 3 competitors' outbound strategies.
Hope it's useful.
If you want, I can share how we'd approach it differently for {{company}}.
4. Leverage Content in Outbound (Ethan Parker)
"We've compiled [content] on [how it helps]. Can I send it over?
PS - Relevant because [trigger]"
Example:
We've compiled a playbook on signal-based outbound for B2B SaaS.
Can I send it over?
PS - Relevant because I saw you're hiring SDRs.
5. "Why Are You Paying?" (Leif Bisping)
Set stage with life situation → Obvious choice → Compare to prospect's current solution
Example:
Imagine paying for a gym membership but only using the treadmill.
That's what most companies do with their CRM - pay for 100 features, use 10.
Why are you paying for {{competitor}} when you only need [core feature]?
6. Case Study Reference
Our client [Lead Solution] used to prospect [ICP].
They focused on:
[Problem 1], [Problem 2], [Problem 3].
Since you focus on {{summary}}, might work well if you combined [free resource].
Could I share the outbound campaign they were using to book 35 meetings/month?
Combines with
| Skill | Why |
|---|---|
cold-email-4-sequence |
Use templates as Email 1 variations |
personalization-6-buckets |
Add personalization to templates |
buying-signals-6 |
Match template to signal type |
ai-personalization-prompts |
Automate template personalization |
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.
- 13d ago First seen · 143 lines · 65 tokens per session scan A 4829c78e4efb
frontal-messaging-templates is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 754 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.
Other skills, from other repositories
leadership-change-outreach
End-to-end leadership change signal composite. Takes any set of companies, detects recent leadership changes (new VP+, C-suite hires and promotions), evaluates relevance to your product, and drafts personalized outreach. Uses Apollo People Search (free) for fast detection + Apollo Enrichment (1 credit/person) for…
news-signal-outreach
End-to-end news-triggered signal composite. Takes any piece of news — an article, LinkedIn post, tweet, announcement, event, trend, regulation, product launch, acquisition, layoff, expansion, or any other public event — and evaluates whether the companies or people mentioned are ICP fits. If yes, identifies the…
champion-move-outreach
End-to-end champion/buyer/user job change signal composite. Takes a set of known people (past buyers, champions, power users), detects when they move to a new company, researches the new company for ICP fit, and drafts personalized outreach leveraging the existing relationship. Tool-agnostic — works with any people…
linkedin-outreach
End-to-end LinkedIn outreach campaign builder. Takes leads from Supabase, upstream skills, or CSV. Aligns on campaign goal and tone, writes personalized LinkedIn message sequences (connection request + follow-ups + optional InMail), presents for review, and exports for the user's outreach tool (Dripify, Botdog…
funding-signal-outreach
End-to-end funding signal composite. Takes any set of companies, detects recent funding events, qualifies against your company context, finds relevant people (buyers, champions, users), and drafts personalized outreach. Tool-agnostic — works with any company source, contact finder, and outreach platform.
hiring-signal-outreach
End-to-end hiring signal composite. Takes any set of companies, detects job postings that your product augments or replaces, finds relevant people (the hiring manager, buyers, champions, users), and drafts personalized outreach using the job role as the hook. Tool-agnostic — works with any company source, job board…