client-research

client-research is a skill for Claude Code, Codex from Ken-Technology/cold-email-skills. It costs 74 tokens per session (1,930 once invoked), scanned A, original, MIT.

A guide for combining meeting recordings, website information, documents, and other client material into a Markdown research document. The document supports sales planning, target-list building, and email work.

In plain words
What is it for?
It helps collect and organize company details, customer research, competitors, testimonials, sales materials, and past campaign notes into reusable client context.
Why use it?
It keeps important client information in one structured place instead of making later campaign work depend on scattered source files.

Skill for Claude CodeCodex

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

Good fit It helps collect and organize company details, customer research, competitors, testimonials, sales materials, and past campaign notes into reusable client context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ken-technology/cold-email-skills/client-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 Ken-Technology/cold-email-skills --skill client-research
Clone the repo
git clone --depth 1 https://github.com/Ken-Technology/cold-email-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 client-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/client-research/github.svg)](https://agentmods.dev/skills/ken-technology/cold-email-skills/client-research)
Your own site
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/client-research"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/client-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 client-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/client-research"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/client-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,930 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 $0.00074 $0.01930
Opus 5.5 $0.00030 $0.00772
Sonnet 5.5 $0.00015 $0.00386
Haiku 4.5 $0.00007 $0.00193

Measured 9d ago against content hash b0af4b8855b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

client-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.

client-research/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Client Research Skill

Turn a company's sources into the research every campaign skill builds on: research.md in the campaign workspace, with a quick-reference summary, the full research for strategy and copy, and a short company context that personalization prompts run with.

{workspace} = the campaign workspace, default ./cold-email/{slug}/ under the current directory:

{workspace}/
├── research.md       # this skill's output (keep its metadata when updating)
├── notes.md          # optional: the client's preferences
└── research/         # source material: website pages, transcripts, documents
    └── website/

When the company keeps a knowledge folder (./knowledge/, written by knowledge-setup), read it first: its overview, ideal customer profile, pricing, proof, competitors, voice and instructions are sourced facts. Start from them, cite them, and add what this campaign's sources say on top.

Sources

  • Website pages (the primary source). Read them with your own web tools, or ask the user to paste the page text, following references/website-scraping.md: at most 8 pages from the site's own host, homepage, about, product, pricing, and customers first, never blog posts, careers, legal, or login pages.
  • Meeting transcripts (Fireflies, Otter, Gong, etc.), product docs, sales materials, case studies, testimonials, competitor notes, and any links or uploads the user shared in the conversation.
  • Existing research: {workspace}/research.md, and the company knowledge folder ./knowledge/ when it exists. Preserve metadata and facts that still hold; extend rather than overwrite.

Read saved files only when they are not already in the conversation: {workspace}/research/ holds saved website pages (research/website/*.md), transcripts and documents, and {workspace}/notes.md the client's preferences.

Critical Rules

  1. Extract, don't invent: Only include information present in the sources. Never suggest new ideas or speculate.
  2. Avoid generic language: Never use "innovative", "cutting-edge", "AI-powered" without explaining the actual mechanism. Be specific about how things work.
  3. Quantify when possible: Include specific metrics, percentages, dollar amounts, time savings. Numbers make content actionable for outbound.
  4. Include outbound angles: Every problem, advantage, and lead magnet gets a concrete question or hook for cold email.
  5. Prioritize by ICP fit: Pick the case studies, lead magnets, and problems most relevant to the primary target audience.
  6. Write for dual audiences: Scannable by humans AND parseable by AI agents. Use consistent headers and structured formats.

Read the full file on GitHub · 128 lines

Files

What ships with it

3 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. 9d ago Changed · -17 lines · -25 tokens per session b0af4b8855b2
  2. 2mo ago First seen · 145 lines · 99 tokens per session scan A bcf8c9d21e13

Subscribe to this mod's changes

client-research is a skill published in the GitHub repository Ken-Technology/cold-email-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 74 tokens to every session and 1,930 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

client-research compared with skills from other repositories

client-research next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
client-researchKen-Technology/cold-email-skillsSkill46d agoMITA74Claude Code, Codex
cold-emailFrontal-so/outbound-skillsSkill91mo agoMITA177Claude Code, Codex
list-buildingFrontal-so/outbound-skillsSkill91mo agoMITA190Claude Code, Codex
claygentFrontal-so/outbound-skillsSkill91mo agoMITA131Claude Code
conditional-logicFrontal-so/outbound-skillsSkill91mo agoMITA128Claude Code
people-enrichmentFrontal-so/outbound-skillsSkill91mo agoMITA110Claude Code
scoringFrontal-so/outbound-skillsSkill91mo agoMITA113Claude Code