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 icp-outbound-buildergit 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/icp-outbound-builder)<a href="https://agentmods.dev/skills/first-touch-inc/firsttouch-agent-skill-packs/icp-outbound-builder"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/icp-outbound-builder/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/icp-outbound-builder"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/icp-outbound-builder.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 | $0.00120 | $0.02330 |
| Opus 5 | $0.00060 | $0.01165 |
| Sonnet 5 | $0.00024 | $0.00466 |
| Haiku 4.5 | $0.00012 | $0.00233 |
Grade A, and why
icp-outbound-builder 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 10d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI SDR / ICP Outbound Builder
Outcome: Produce a daily approval-ready outbound batch from either an existing HubSpot contact/company list or a newly discovered ICP list.
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, this AI SDR play can still run by building a new ICP list with FirstTouch Discover Contacts.
When to use
- "Run AI SDR"
- "Run outbound against this HubSpot list"
- "Build a daily LinkedIn outbound motion"
- "Find prospects that match this ICP and draft outreach"
- "Generate customized outreach for these contacts/companies"
- account-based outbound planning after higher-intent queues are running
Inputs
- Source: existing HubSpot contact list, HubSpot company list, FirstTouch target-account set, CSV imported into FirstTouch, or a new ICP brief
- ICP criteria: industry, company size, geography, funding/stage, tech stack, role, seniority, exclusions
- Persona targets: champion / manager / VP / founder / economic buyer
- LinkedIn account type: free/basic or Sales Navigator/Premium
- Automation preference: optional agent-harness schedule/reminder such as daily Claude automation or daily ChatGPT agent; this is not a FirstTouch autonomous-send feature
Daily volume rules for AI SDR
| LinkedIn account | Daily AI SDR connection-request row cap | Connection request note |
|---|---|---|
| Free/basic | Recommend 10 connection-request rows/day; FirstTouch max 20/day | No note |
| Sales Navigator / Premium | Recommend 20 connection-request rows/day; FirstTouch max 30/day | No note by default for cold AI SDR; notes are allowed only when the user explicitly approves a strong reason |
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.
- 10d ago First seen · 149 lines · 120 tokens per session scan A b14938041d7a
icp-outbound-builder 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 120 tokens to every session and 2,330 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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