customer-research-validation

customer-research-validation is a skill for Codex from jeremylongworth-source/AgentSkills. It costs 70 tokens per session (359 once invoked), scanned A, original, MIT.

A process for learning about customers and testing whether a problem or product demand is real, using interviews, surveys, usability studies, and other research methods.

In plain words
What is it for?
It helps define research decisions, recruit participants, write neutral questions, analyze behavior and feedback, compare segments, and choose next validation steps.
Why use it?
It separates observed evidence from interpretation and reduces misleading conclusions caused by leading questions, small samples, or untested assumptions.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It helps define research decisions, recruit participants, write neutral questions, analyze behavior and feedback, compare segments, and choose next validation steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongworth-source/agentskills/customer-research-validation
Install

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.

Any agent
npx skills add jeremylongworth-source/AgentSkills --skill customer-research-validation
Clone the repo
git clone --depth 1 https://github.com/jeremylongworth-source/AgentSkills

Made for: Codex.

Wrote 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.

agentmods badge for customer-research-validation

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/customer-research-validation/github.svg)](https://agentmods.dev/skills/jeremylongworth-source/agentskills/customer-research-validation)
Your own site
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/customer-research-validation"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/customer-research-validation/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.

agentmods 80×15 button for customer-research-validation

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/customer-research-validation"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/customer-research-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 359 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.00359
Opus 5 $0.00035 $0.00179
Sonnet 5 $0.00014 $0.00072
Haiku 4.5 $0.00007 $0.00036

Measured 7d ago against content hash 10f6d16e8eba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

customer-research-validation 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 7d 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.

skills/customer-research-validation/SKILL.md · 42 lines

What it actually says

Customer Research Validation

Core Workflow

  1. Define the decision the research must inform. Do not research for vague reassurance.
  2. Identify target participants, recruitment criteria, segment, context, and expected bias.
  3. Choose method: interview, survey, usability study, diary study, sales-call analysis, support-ticket analysis, review mining, landing-page test, concierge test, or prototype test.
  4. Write neutral research questions that explore behavior, context, constraints, alternatives, and willingness to change.
  5. Capture raw evidence separately from interpretation.
  6. Synthesize patterns by segment, frequency, severity, business impact, and confidence.
  7. Convert findings into decisions, risks, and next validation steps.

Research Principles

  • Ask about past behavior before future intent.
  • Avoid leading questions and solution pitching during discovery.
  • Distinguish problem evidence, demand evidence, usability evidence, and preference signals.
  • Treat small samples as directional unless the method supports stronger claims.
  • Look for disconfirming evidence and segment differences.

Deliverable Shape

For research work, provide:

  • Decision to inform
  • Research questions
  • Participant criteria
  • Method and script
  • Evidence capture plan
  • Synthesis framework
  • Findings, confidence, and next decisions

References

  • Read references/customer-research-checklist.md when planning, conducting, or synthesizing customer research.
Files

What ships with it

2 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.

Changes

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.

  1. 7d ago First seen · 42 lines · 70 tokens per session scan A 10f6d16e8eba

Subscribe to this mod's changes

customer-research-validation is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 70 tokens to every session and 359 once invoked, about $0.0003 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 2026-09-03.

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