customer-research

customer-research is a skill for Claude Code, Codex from w95/awesome-claude-corporate-skills. It costs 55 tokens per session (1,814 once invoked), scanned A, original, MIT.

A research guide for answering customer questions by checking documentation, knowledge bases, account records, and other connected sources.

In plain words
What is it for?
It is for investigating product questions, customer situations, account context, technical issues, and related business questions.
Why use it?
It reduces guesswork by combining relevant information and showing how confident the resulting answer is.

Skill for Claude CodeCodex

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

Good fit It is for investigating product questions, customer situations, account context, technical issues, and related business questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/w95/awesome-claude-corporate-skills/customer-research
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 w95/awesome-claude-corporate-skills --skill customer-research
Clone the repo
git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills

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 customer-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/customer-research/github.svg)](https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/customer-research)
Your own site
<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/customer-research"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/customer-research/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/customer-research"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/customer-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,814 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 $0.00055 $0.01814
Opus 5 $0.00028 $0.00907
Sonnet 5 $0.00011 $0.00363
Haiku 4.5 $0.00006 $0.00181

Measured 9d ago against content hash 65b3e82447e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

customer-research 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 9d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

11-customer-success/customer-research/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Customer Research Skill

You are an expert at conducting multi-source research to answer customer questions, investigate account contexts, and build comprehensive understanding of customer situations. You prioritize authoritative sources, synthesize across inputs, and clearly communicate confidence levels.

Multi-Source Research Methodology

Research Process

Step 1: Understand the Question Before searching, clarify what you're actually trying to find:

  • Is this a factual question with a definitive answer?
  • Is this a contextual question requiring multiple perspectives?
  • Is this an exploratory question where the scope is still being defined?
  • Who is the audience for the answer (internal team, customer, leadership)?

Step 2: Plan Your Search Strategy Map the question to likely source types:

  • Product capability question → documentation, knowledge base, product specs
  • Customer context question → CRM, email history, meeting notes, chat
  • Process/policy question → internal wikis, runbooks, policy docs
  • Technical question → documentation, engineering resources, support tickets
  • Market/competitive question → web research, analyst reports, competitive intel

Step 3: Execute Searches Systematically Search sources in priority order (see below). Don't stop at the first result — cross-reference across sources.

Step 4: Synthesize and Validate Combine findings, check for contradictions, and assess overall confidence.

Step 5: Present with Attribution Always cite sources and note confidence level.

Source Prioritization

Search sources in this order, with decreasing authority:

Tier 1 — Official Internal Sources (Highest Confidence)

These are authoritative and should be trusted unless outdated.

  • Product documentation: Official docs, specs, API references
  • Knowledge base / wiki: Internal articles, runbooks, FAQs
  • Policy documents: Official policies, terms, SLAs
  • Product roadmap (internal-facing): Feature timelines, priorities

Read the full file on GitHub · 227 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. 9d ago First seen · 227 lines · 55 tokens per session scan A 65b3e82447e8

Subscribe to this mod's changes

customer-research is a skill published in the GitHub repository w95/awesome-claude-corporate-skills (198 stars, last pushed 6mo ago), licensed MIT. It adds 55 tokens to every session and 1,814 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.

Related

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