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 First-Touch-Inc/firsttouch-agent-skill-packs --skill firsttouch-messaginggit clone --depth 1 https://github.com/First-Touch-Inc/firsttouch-agent-skill-packsWrote 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/first-touch-inc/firsttouch-agent-skill-packs/firsttouch-messaging)<a href="https://agentmods.dev/skills/first-touch-inc/firsttouch-agent-skill-packs/firsttouch-messaging"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/firsttouch-messaging.svg" alt="Measured on agentmods" 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 | $0.00078 | $0.01449 |
| Opus 5 | $0.00039 | $0.00724 |
| Sonnet 5 | $0.00016 | $0.00290 |
| Haiku 4.5 | $0.00008 | $0.00145 |
Grade A, and why
firsttouch-messaging 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 7d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FirstTouch Messaging
Every FirstTouch play that involves sending words to a human builds on this skill. It defines how to draft LinkedIn outreach that actually converts - signal-first, seniority-calibrated, and always gated for human approval before send.
First-run onboarding gate
If onboarding has not already been completed for this workspace, load ../../references/onboarding.md and complete the onboarding questions. Do not proceed until you know: LinkedIn account type (free/basic = no connection notes; recommend 10 connection requests/day and never exceed the FirstTouch max of 20/day; Sales Navigator/Premium = connection notes available; recommend 20 connection requests/day and never exceed the FirstTouch max of 30/day), HubSpot access (MCP, service key/private app token, HubSpot list only, or none), and which play the user wants to run. Recommend high-intent plays before outbound to keep the LinkedIn account healthy. If HubSpot is unavailable, do not run HubSpot-specific steps unless the user provides a HubSpot list FirstTouch can access.
When to use
- A play asks you to "draft the message" (connection request, opener, follow-up)
- The user says "write LinkedIn outreach," "draft a connection note," "personalize this sequence"
- You're producing copy that will be reviewed before a FirstTouch send
When NOT to use
- Generating email copy for a non-LinkedIn channel (use that channel's conventions)
- Writing internal notes / HubSpot activity logs
Core principle
Signal-first, not feature-first. Find one specific, true thing about the prospect and lead with it. Never lead with your product.
Step-by-step
1. Identify the signal (the "why now")
Find one verifiable fact about the prospect or their company. Sources, in priority order:
- HubSpot context (if HubSpot MCP connected): lifecycle change, recent deal activity, form fill, owner notes
- LinkedIn activity: recent post, comment, role change, hiring move
- Company signals: funding, product launch, hiring spike, tech-stack change
- Mutual connection / referral
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.
- 7d ago First seen · 111 lines · 78 tokens per session scan A f0bf0a7ad467
firsttouch-messaging is a skill published in the GitHub repository First-Touch-Inc/firsttouch-agent-skill-packs (5 stars, last pushed 2mo ago), licensed MIT. It adds 78 tokens to every session and 1,449 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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