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 warm-engager-followupgit 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/warm-engager-followup)<a href="https://agentmods.dev/skills/first-touch-inc/firsttouch-agent-skill-packs/warm-engager-followup"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/warm-engager-followup/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/warm-engager-followup"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/warm-engager-followup.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 | $0.00126 | $0.02224 |
| Opus 5 | $0.00063 | $0.01112 |
| Sonnet 5 | $0.00025 | $0.00445 |
| Haiku 4.5 | $0.00013 | $0.00222 |
Grade A, and why
warm-engager-followup 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 11d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Warm Engager Follow-Up
Solo/default path: a founder, AE, or BDR can run this from one monitored personal profile or engager list and approve every touch themselves. If you later run it with a team, add owner-based routing, per-seat cap sharing, approval review, and FirstTouch/HubSpot logging checks.
Outcome: Convert recent LinkedIn engagement (post likes and comments) into booked conversations. Log to HubSpot when the connected FirstTouch-HubSpot integration supports it; otherwise log the execution record in FirstTouch and state that CRM timeline logging is unavailable.
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
- The user says "follow up on people engaging with my posts," "who liked my last post," "monitor this competitor founder/influencer," "work my warm leads"
- A BDR/AE/RevOps user wants to monitor a CEO, founder, exec, company thought-leader, competitor founder, or category influencer profile and route engagers to reps
- A post or campaign just got engagement and you want to turn it into pipeline
- Weekly/biweekly warm-lead follow-up motion
Inputs
- Window: how far back to pull engagement (default: 7 days)
- Post scope: specific post, all recent activity, or a monitored CEO/exec/leadership profile (default: all)
- Tier filter: which engagers to prioritize (default: ICP match + seniority)
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.
- 11d ago First seen · 116 lines · 126 tokens per session scan A 3c9381027e4d
warm-engager-followup 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 126 tokens to every session and 2,224 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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