ai-readiness-assessment SKILL.md skillA

ai-readiness-assessment from onewave-ai/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add onewave-ai/claude-skills/ai-readiness-assessment@git:20260608.d82d20f

Pins git:20260608.d82d20f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
onewave-ai/claude-skills
Path
ai-readiness-assessment/SKILL.md
Versions recorded
2
Latest version
git:20260608.d82d20f, committed Jun 8, 2026
First version recorded
Apr 10, 2026
Size
3,656 bytes
Repository stars
358
License
MIT

Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# AI Readiness Assessment Skill

Conduct a structured, evidence-based evaluation of a business's readiness for AI adoption across six dimensions, then produce a detailed `ai-readiness-report.md` covering scores, gap analysis, and prioritized next steps. Aligned with OneWave AI's pragmatic, ROI-driven audit methodology.

## Contents

- `references/dimensions.md` — The six dimensions, full 1-5 scoring rubric, and key questions per dimension.
- `references/methodology.md` — Information-gathering, scoring math and interpretation table, gap analysis, recommendation priorities, company-size and industry tailoring, and conversation flow.
- `references/output-template.md` — The complete `ai-readiness-report.md` structure to fill in.

## Workflow

1. Gather context. Collect information through conversation, document review, and codebase analysis. See `references/methodology.md` (Phase 1) for channels and the question set in `references/dimensions.md`.
2. Score the six dimensions. Rate each from 1 to 5 against the rubric in `references/dimensions.md`. Be honest and conservative, use half-points for nuance, and record the evidence behind every score.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add onewave-ai/claude-skills/ai-readiness-assessment@sha256:794e1e2f98cb3fec

The line at the top of this page pins the label git:20260608.d82d20f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tgshq25nbafknymo.svg)](https://markdownregistry.com/a/art_tgshq25nbafknymo)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Apr 10, 2026 and Jun 8, 2026, about one every 59 days.

versioncommittedcommitsizeaudit
git:20260608.d82d20f latest2026-06-08 d82d20f 3,656 BA view · diff
git:20260410.ab060dd2026-04-10 ab060dd 30,427 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3656 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

onewave-ai/claude-skills · 358 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tgshq25nbafknymo
GET https://markdownregistry.com/api/v1/resolve?ref=onewave-ai/claude-skills/ai-readiness-assessment
GET https://markdownregistry.com/api/v1/blob/794e1e2f98cb3fecd7a38a3ce98357fb4b6e95e79be38e2035d954382716656e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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