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 hubspot-signal-to-linkedin-touchgit 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/hubspot-signal-to-linkedin-touch)<a href="https://agentmods.dev/skills/first-touch-inc/firsttouch-agent-skill-packs/hubspot-signal-to-linkedin-touch"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/hubspot-signal-to-linkedin-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/first-touch-inc/firsttouch-agent-skill-packs/hubspot-signal-to-linkedin-touch"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/hubspot-signal-to-linkedin-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 | $0.00136 | $0.01690 |
| Opus 5 | $0.00068 | $0.00845 |
| Sonnet 5 | $0.00027 | $0.00338 |
| Haiku 4.5 | $0.00014 | $0.00169 |
Grade A, and why
hubspot-signal-to-linkedin-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 12d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Access note: this is a HubSpot-dependent motion. Skip it until HubSpot/CRM data or a FirstTouch-accessible HubSpot list exists.
HubSpot Signal → LinkedIn Touch
Outcome: Make LinkedIn outreach event-driven - every touch is triggered by a real CRM event, not a cadence timer.
First-run onboarding gate
Before running this skill for the first time in a 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
- "When a contact hits MQL, reach out on LinkedIn"
- "If a deal moves to 'Decision Maker Buy-In,' send a social touch"
- "Anyone who filled out the pricing form this week, connect on LinkedIn"
- Building event-driven outbound from HubSpot lists, lifecycle fields, forms, or contact-based workflow outputs
Inputs
- Signal definition: which HubSpot event triggers the play (lifecycle change / deal stage / form / list membership / inactivity)
- Audience scope: which contacts/companies the trigger applies to
- Cooldown: min days between touches for a contact (default: 14)
Step-by-step
1. Define & query the signal (HubSpot MCP)
Pull contacts matching the trigger event within the window. For AE use, a manually filtered HubSpot contact list is enough for a one-time run today; RevOps/admin workflow setup is needed only for recurring automation. FirstTouch supports HubSpot workflow actions that trigger FirstTouch flows; if the desired trigger needs a HubSpot workflow, confirm the customer portal exposes the needed FirstTouch action card and permissions, then use ../../references/hubspot-setup.md to produce the contact-based workflow/list criteria for RevOps/admin. Do not claim the agent created a HubSpot workflow unless the connected portal confirms that capability. For each, capture: name, title, company, owner, lifecycle/deal stage, the triggering event + timestamp, and recent timeline activity.
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.
- 12d ago First seen · 98 lines · 136 tokens per session scan A 9c73528f514b
hubspot-signal-to-linkedin-touch 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 136 tokens to every session and 1,690 once invoked, about $0.0007 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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