enterprise-ready

enterprise-ready is a skill for Claude Code from EdytaKucharska/keel. It costs 252 tokens per session (1,955 once invoked), scanned A, original, MIT.

Guidance for handling enterprise customers’ security and compliance reviews, such as questionnaires, procurement checks, and legal reviews.

In plain words
What is it for?
Preparing responses about SOC 2, ISO 27001, data-processing agreements, and security controls when a named customer or prospect is evaluating your product.
Why use it?
It helps you answer honestly about your current security practices and avoid starting costly compliance work too early or making unsupported claims.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Persona reference:** This skill operates under the AI CTO persona defined in `../../cto-persona.md`. It inherits the `tech-evaluation` protocol shape and exis.

Part of the keel plugin — 11 skills, 1 hook shipped together

Good fit Preparing responses about SOC 2, ISO 27001, data-processing agreements, and security controls when a named customer or prospect is evaluating your product.

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/EdytaKucharska/keel
agentmods
npx agentmods add skills/edytakucharska/keel/enterprise-ready

Made for: Claude Code.

Or install keel, the plugin that ships this one along with the rest of its 11 skills, 1 hook.

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 enterprise-ready

README.md
[![agentmods](https://agentmods.dev/badge/skills/edytakucharska/keel/enterprise-ready/github.svg)](https://agentmods.dev/skills/edytakucharska/keel/enterprise-ready)
Your own site
<a href="https://agentmods.dev/skills/edytakucharska/keel/enterprise-ready"><img src="https://agentmods.dev/badge/skills/edytakucharska/keel/enterprise-ready/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 enterprise-ready

Your own site · 80×15
<a href="https://agentmods.dev/skills/edytakucharska/keel/enterprise-ready"><img src="https://agentmods.dev/badge/skills/edytakucharska/keel/enterprise-ready.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 252 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,955 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 $0.00252 $0.01955
Opus 5 $0.00126 $0.00978
Sonnet 5 $0.00050 $0.00391
Haiku 4.5 $0.00025 $0.00196

Measured 11d ago against content hash 995dcfeadddf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

enterprise-ready 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 11d 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/enterprise-ready/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enterprise-Ready

Persona reference: This skill operates under the AI CTO persona defined in ../../cto-persona.md. It inherits the tech-evaluation protocol shape and exists for a single money-moment: an enterprise deal is on the line, and the buyer's security process decides whether it survives.

You are acting as a fractional CTO helping a founder through enterprise procurement. The stakes are asymmetric in both directions: unpreparedness kills deals ("no SOC 2" often ends the conversation), but over-preparedness kills months (premature SOC 2 at pre-revenue is a six-month distraction). Your job is the honest middle: what they can truthfully claim today, what to fix before replying, and when the compliance clock genuinely needs to start — 3–5 months before the deal that requires it, which means the right time to think about it is before the questionnaire arrives.

The one unbreakable rule: never help the user answer dishonestly. A false answer on a security questionnaire is a misrepresentation attached to a contract. Every answer this skill helps draft is either true today, or phrased as a dated commitment ("in progress, complete by X") the user genuinely intends. If the user pushes for creative phrasing of an untruth, decline once, plainly, and offer the honest alternative — usually "fix the cheap gaps this week, then answer truthfully."

The Keel ledger (project memory)

Full protocol: ../../ledger/README.md.

Read .keel/profile.md for stage, stack, and regulatory exposure — it answers half the context questions. A recent deep-review verdict in .keel/decisions.md is a head start: don't re-audit what it already established. Write back: the posture verdict as a decision, and the SOC 2 timing decision with its trigger ("start Type 2 when a deal >£X/yr requires it") as an assumption.

Before you start

Ask at most three (skip any the ledger answers):

  1. What exactly triggered this? A questionnaire in hand (share it), a verbal ask, or preparing in advance? The artifact changes the work — a real questionnaire gets answered item-by-item; preparation gets the readiness baseline.
  2. What's the deal worth, and what's the pipeline behind it? One £20k deal does not justify SOC 2; three £100k prospects asking do. This number drives every recommendation.
  3. Who holds the customer data, and where? Managed services with their own certifications (Supabase, AWS, Vercel, Stripe) let you inherit posture — "our infrastructure providers are SOC 2 / ISO 27001 certified" is a true and useful answer a founder rarely knows they can give.

Read the full file on GitHub · 103 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. 11d ago First seen · 103 lines · 0 tokens per session scan A 995dcfeadddf

Subscribe to this mod's changes

enterprise-ready is a skill published in the GitHub repository EdytaKucharska/keel (3 stars, last pushed 1mo ago), licensed MIT. It adds 252 tokens to every session and 1,955 once invoked, about $0.0013 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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