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 LeadMagic/gtm-skills --skill customer-onboardinggit clone --depth 1 https://github.com/LeadMagic/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/leadmagic/gtm-skills/customer-onboarding)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/customer-onboarding"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/customer-onboarding.svg" alt="Measured on agentmods" 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 | $0.00104 | $0.04251 |
| Opus 5 | $0.00052 | $0.02125 |
| Sonnet 5 | $0.00021 | $0.00850 |
| Haiku 4.5 | $0.00010 | $0.00425 |
Grade A, and why
customer-onboarding 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 4d 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 — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Onboarding
Overview
First 30 days determine years 2 and 3. The mistake: treating onboarding as a handoff email ("here's your login, good luck") instead of a structured program that delivers measurable value in week 1. Customers who achieve their "first value moment" within 7 days retain at 3x the rate of those who take 30+ days. This skill covers onboarding architecture by segment, sales-to-CS handoff, kickoff calls, activation milestones, and the metrics to prove it works.
Lifecycle stage: Activation (stage 3). Canonical index → references/gtm-lifecycle-stages.md.
Activation deep-dive (TTA benchmarks, experiments, audit) → references/activation-playbook.md.
When to Use
Trigger phrases: "customer onboarding program", "time-to-value reduction", "onboarding playbook", "kickoff call structure", "sales-to-CS handoff", "30-60-90 day plan", "activation milestones", "onboarding by segment", "scale onboarding", "TTV optimization"
Authoritative Foundations
Gainsight — Time-to-Value (TTV)
TTV = Time from closed-won to customer achieving their first measurable value. For most B2B SaaS: TTV under 7 days = high retention. Under 30 days = healthy. 60+ days = churn risk. Measure TTV by segment, not company-wide.
Lincoln Murphy — Desired Outcome
Onboarding isn't about teaching features. It's about getting the customer to THEIR desired outcome, not yours. Stop asking "did they complete setup?" and start asking "did they achieve what they bought the product for?"
Donna Weber — Onboarding Matters
"The way you onboard customers is the way they'll use your product forever." Patterns set in week 1 persist for years. Bad patterns = bad retention.
Step-by-Step Process
Phase 1: Onboarding Architecture by Segment
| Segment | ACV | Onboarding Model | Duration | CSM Ratio |
|---|---|---|---|---|
| Enterprise | $50K+ | White-glove: dedicated CSM, weekly calls, custom setup | 30-90 days | 1:10-20 |
| Mid-Market | $10-50K | Guided: structured program, biweekly calls, templates | 14-30 days | 1:20-50 |
| SMB | $1-10K | Automated: email sequences, in-app guides, office hours | 7-14 days | 1:100+ |
| Self-Serve | <$1K | Product-led: in-app only, KB, community, no CSM | <1 day | ∞ |
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/activation-playbook.md 6.9 KB
- references/crisis-management-playbook.md 11 KB
- references/framework-notes.md 1.3 KB
- references/gtm-data-exchange-playbook.md 7.3 KB
- references/gtm-lifecycle-stages.md 8.6 KB
- references/lifecycle-metrics-by-stage.md 7.9 KB
- references/lincoln-murphy-customer-success.md 3.3 KB
- references/security-questionnaire-deal-guide.md 5.1 KB
- scripts/check-output.py 865 B runs code
- templates/output-template.md 2.1 KB
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.
- 4d ago Changed 06fd3d70cea6
- 8d ago First seen · 419 lines · 104 tokens per session scan A 50e52c8435a5
customer-onboarding is a skill published in the GitHub repository LeadMagic/gtm-skills (48 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 4,251 once invoked, about $0.0005 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.
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