knowledge-setup

knowledge-setup is a skill for Claude Code, Codex from Ken-Technology/cold-email-skills. It costs 73 tokens per session (2,023 once invoked), scanned A, original, MIT.

A workflow that creates a local company-knowledge folder of plain Markdown files. It records company details, target customers, prices, proof, competitors, and writing guidance, with sources for each fact.

In plain words
What is it for?
It helps prepare company overviews, ideal-customer profiles, pricing records, case studies, competitor notes, and a consistent writing voice.
Why use it?
It gives later campaign work a shared, traceable source of company information instead of making the agent reconstruct those facts each time.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./knowledge/.

Good fit It helps prepare company overviews, ideal-customer profiles, pricing records, case studies, competitor notes, and a consistent writing voice.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Ken-Technology/cold-email-skills
agentmods
npx agentmods add skills/ken-technology/cold-email-skills/knowledge-setup

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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agentmods badge for knowledge-setup

README.md
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Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,023 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 $0.02023
Opus 5.5 $0.00029 $0.00809
Sonnet 5.5 $0.00015 $0.00405
Haiku 4.5 $0.00007 $0.00202

Measured 9d ago against content hash c23b6438708a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-setup 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.

knowledge-setup/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge setup

The knowledge folder is what your agent knows about a company: what it sells, its offer and prices, who it sells to, its proof and competitors, and how its people write. It is plain markdown files on the user's machine, kept next to their campaign folders, so every campaign starts from the same facts: client-research reads it when it writes a campaign's research.md, and every campaign skill after it reads that.

This skill writes the folder and keeps it true. It writes files only: no account, no API keys, nothing sent anywhere.

The folder

Default ./knowledge/ under the current directory, next to ./cold-email/; use another path when the user names one.

./knowledge/
├── company-overview.md        # what the company does, for whom, and why it wins
├── ideal-customer-profile.md  # who buys, their problems, who is not a fit
├── pricing.md                 # plans and prices exactly as stated, with source and date
├── proof/                     # one file per case study or result
│   └── {customer-slug}.md
├── competitors/               # one file per competitor
│   └── {competitor-slug}.md
├── voice.md                   # how the company's people write, each rule with its source
└── instructions.md            # rules every email follows, each with its source
  • client-research researches a company for one campaign and writes research.md in the campaign workspace (./cold-email/{slug}/). It reads this folder first when it exists.
  • qualification writes who is in and who is out for a campaign (qualification.md).
  • prompt-writer writes and tests the personalization prompts for a segment (prompts.md).
  • create-campaign builds a whole campaign, from plan to ready-to-send copy.

Rules

  • Extract, never invent. Every fact in a file comes from a source you can name: the website, a call, a document, or the person's words in this conversation. Never invent a price, a customer, a result or a number. A gap stays a gap: write it as an open question and ask.
  • Cite what people want. A rule about how the company writes, or a claim about what a client wants, carries its source: who said it, where and when ("Dana, kickoff call, 2026-10-14"). With no source, ask; never fill the gap from a ticket's or an issue's claim.
  • A yes before each write. Show what you will write, file by file, and save after the person agrees. A yes to the pricing file covers that file, not the folder.
  • Read, then write. Read a file before you change it. When it changed since you read it (the person or someone else edited it), read it again, merge, show the person, save.
  • Edit sections, keep files. Change the one section that changed and leave the rest. A restructure rewrites the same file, never a delete and a new file. When the folder sits in a git repo, its history keeps every version.
  • Keep secrets out. Never write a password, an API key or a private link into these files: people share and commit them.
  • This skill never sends, launches, or changes a campaign's schedule or volume. A person approves every send and launch.

Read the full file on GitHub · 114 lines

Files

What ships with it

1 file 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 First seen · 114 lines · 73 tokens per session scan A c23b6438708a

Subscribe to this mod's changes

knowledge-setup is a skill published in the GitHub repository Ken-Technology/cold-email-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 73 tokens to every session and 2,023 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 2026-10-28.

Related

knowledge-setup compared with skills from other repositories

knowledge-setup next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
knowledge-setupKen-Technology/cold-email-skillsSkill46d agoMITA73Claude 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