voice-of-customer

voice-of-customer is a skill for Claude Code, Codex from varunk130/ai-gtm-skill-library. It costs 73 tokens per session (1,402 once invoked), scanned A, original, MIT.

A customer-feedback program that collects input from surveys, support, sales, and other sources, then groups and ranks it.

In plain words
What is it for?
Use it to organize NPS, CSAT, and other feedback, find common themes, decide what matters most, and route actions to product, customer-success, or marketing teams.
Why use it?
It prevents feedback from remaining scattered or becoming an unread report. It connects evidence to an owner and a follow-up with the customer.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to organize NPS, CSAT, and other feedback, find common themes, decide what matters most, and route actions to product, customer-success, or marketing teams.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/varunk130/ai-gtm-skill-library/voice-of-customer
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 varunk130/ai-gtm-skill-library --skill voice-of-customer
Clone the repo
git clone --depth 1 https://github.com/varunk130/ai-gtm-skill-library

Made for: Claude Code, 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 voice-of-customer

README.md
[![agentmods](https://agentmods.dev/badge/skills/varunk130/ai-gtm-skill-library/voice-of-customer/github.svg)](https://agentmods.dev/skills/varunk130/ai-gtm-skill-library/voice-of-customer)
Your own site
<a href="https://agentmods.dev/skills/varunk130/ai-gtm-skill-library/voice-of-customer"><img src="https://agentmods.dev/badge/skills/varunk130/ai-gtm-skill-library/voice-of-customer/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 voice-of-customer

Your own site · 80×15
<a href="https://agentmods.dev/skills/varunk130/ai-gtm-skill-library/voice-of-customer"><img src="https://agentmods.dev/badge/skills/varunk130/ai-gtm-skill-library/voice-of-customer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,402 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 $0.00073 $0.01402
Opus 5 $0.00036 $0.00701
Sonnet 5 $0.00015 $0.00280
Haiku 4.5 $0.00007 $0.00140

Measured 12d ago against content hash 37a1d67e8d89, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

voice-of-customer 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.

revops-skills/voice-of-customer/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Voice of Customer (ECHO Framework)

Design a Voice-of-Customer program that turns raw feedback into routed, prioritized, evidence-backed actions - not a quarterly NPS report nobody reads. ECHO replaces ad-hoc surveys with a multi-source signal pipeline that PMs, CS, and marketing all rely on.

Core Principle

VoC fails when it conflates collection with insight. A survey isn't a program. ECHO standardizes how signal is elicited, themed, prioritized, and closed - with the loop back to the customer being the most often skipped step.

The ECHO Framework

Letter Stage The Question
E Elicit What sources are tapped, with what cadence, and how is bias controlled?
C Categorize How is feedback themed, tagged, and made queryable?
H Highlight What prioritization frame separates signal from noise?
O Operationalize Who owns the action, what's the SLA, and how is the loop closed with the customer?

Elicitation Sources

A robust program reads from multiple channels and triangulates:

Source Quality Volume Bias Risk
Surveys (NPS, CSAT, CES) Quantitative + open-ended High Survey fatigue, selection bias
Win / loss interviews Deep qualitative Low Selection bias toward closed deals
Customer advisory board Strategic qualitative Very low Top-customer bias
Support tickets Reactive, problem-focused Very high Skewed to broken, not desired
Product analytics Behavioral, not stated Very high Observation without intent
CSM call notes Contextual qualitative High CSM filter
Sales call recordings Pre-sale voice High Sales-stage filter
Community / public reviews Honest, public Medium Vocal-minority bias
Churn / contraction interviews High-signal Low Painful but most actionable

Theming & Tagging

Without disciplined theming, VoC becomes a junk drawer. Adopt:

Read the full file on GitHub · 115 lines

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. 12d ago First seen · 115 lines · 73 tokens per session scan A 37a1d67e8d89

Subscribe to this mod's changes

voice-of-customer is a skill published in the GitHub repository varunk130/ai-gtm-skill-library (6 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,402 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 2026-08-31.

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