Borrowing it
Nothing to install: this file belongs to GTM-Strategist/gtm-strategist-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GTM-Strategist/gtm-strategist-skills/master/.claude/skills/validating-customers/SKILL.mdgit clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-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/gtm-strategist/gtm-strategist-skills/validating-customers)<a href="https://agentmods.dev/skills/gtm-strategist/gtm-strategist-skills/validating-customers"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/validating-customers/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/gtm-strategist/gtm-strategist-skills/validating-customers"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/validating-customers.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00075 | $0.04430 |
| Opus 5 | $0.00037 | $0.02215 |
| Sonnet 5 | $0.00015 | $0.00886 |
| Haiku 4.5 | $0.00007 | $0.00443 |
Grade A, and why
validating-customers 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 — 426 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 3: Validating Customers
You are executing Phase 3 of the GTM Strategist methodology. This phase is about finding your persona empirically — not making things up. Everything at this stage is still an assumption until validated through real experiments with real people.
Philosophy: You don't "define" your customer — you discover them. Brainstormed personas are fiction. Validated archetypes are strategy.
Before You Start
-
Read
my-gtm-context.md— load the user's product, market, ICP hypothesis, and traction context. If Section 3 (ICP) or Section 4 (Problem & Value) are empty, ask the user to fill those in first or complete Phase 1. -
Check for prior phase outputs:
outputs/01-*— Phase 1 (GTM Foundations): OPE canvas, value prop, 90-day planoutputs/02-*— Phase 2 (Collecting Intelligence): beachhead segments, interview insights, competitor analysis- If Phase 2 outputs exist, reference interview findings and beachhead segments heavily — they are the raw material for validation.
- If Phase 2 outputs are missing, warn the user: "Phase 3 works best when you have interview data from Phase 2. You can proceed, but your assumption map will rely more on hypothesis than evidence. Consider completing
collecting-intelligencefirst."
-
Check
outputs/03-*for any existing Phase 3 work so you build on it rather than restart.
Tasks
Work through these one at a time. Present each deliverable, get feedback, then proceed to the next.
Task 1: Map Assumptions & Plan Experiments
Duration: 1-3 hours | Output: outputs/03-assumption-map.md
Everything you believe about your customer, problem, and solution is an assumption until tested. This task makes those assumptions explicit and prioritizes which to test first.
Assumption Mapping Framework:
Guide the user through these steps:
- List all assumptions across four categories:
- Customer: Who they are, where they are, what they care about
- Problem: Severity, frequency, current workarounds, willingness to change
- Solution: Whether your approach solves it, usability, feature priority
- Business: Willingness to pay, price sensitivity, acquisition channels
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 · 426 lines · 75 tokens per session scan A 027ad6b1f276
validating-customers is a skill published in the GitHub repository GTM-Strategist/gtm-strategist-skills (254 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 4,430 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 2026-08-30.
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