ai-roi-audit SKILL.md skillA

ai-roi-audit from mohitagw15856/pm-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 mohitagw15856/pm-claude-skills/ai-roi-audit@git:20261006.b9ea321

Pins git:20261006.b9ea321 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
mohitagw15856/pm-claude-skills
Path
exports/openclaw/ai-roi-audit/SKILL.md
Versions recorded
2
Latest version
git:20261006.b9ea321, committed Oct 6, 2026
First version recorded
Jul 14, 2026
Size
5,936 bytes
Repository stars
1,475
License
MIT

Audit whether the organisation's AI spend actually paid — measured against baselines, not vendor math or vibes. Use when a CFO asks what the AI tools returned, when renewing AI contracts, when consolidating overlapping AI subscriptions, or to build the measurement plan before the next spend. Produces an ROI audit with per-tool verdicts (keep/consolidate/cut), the honest-measurement method behind each number, and a baseline plan for whatever can't be scored yet. To forecast ROI before an…

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 ROI Audit Skill

Every org now spends real money on AI tools, and most justify it with adoption counts ("80% weekly active!") — which measure enthusiasm, not return. This skill audits what the spend *returned*, using methods that survive a sceptical CFO: baselines, counterfactuals, and quality deltas, with "we can't know yet" said out loud where it's true.

## What This Skill Produces

- A **per-tool verdict table**: keep / consolidate / renegotiate / cut, each with its evidence
- The **measurement behind each number** — method, baseline, confidence — so the audit is checkable
- A **hidden-cost ledger** (the part vendor ROI decks omit)
- A **baseline plan** for every "unknown", so next year's audit has data

## Required Inputs

Ask for (if not already provided):
- **The AI tool inventory with costs**: subscriptions, API spend, seats — and utilisation if known
- **What each tool was bought to do** (the promised outcome, from the original business case if it exists)
- **Available evidence**: usage data, before/after metrics, time studies, quality data, anecdotes (labelled as anecdotes)
- **The decision at stake**: renewal? consolidation? budget defence? (calibrates depth)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mohitagw15856/pm-claude-skills/ai-roi-audit@sha256:0f9dd633e3ec4925

The line at the top of this page pins the label git:20261006.b9ea321, 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_yrxilwwdouyj3tsp.svg)](https://markdownregistry.com/a/art_yrxilwwdouyj3tsp)

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

Versions

The registry has recorded 2 versions of this file, between Jul 14, 2026 and Oct 6, 2026, about one every 84 days.

versioncommittedcommitsizeaudit
git:20261006.b9ea321 latest2026-10-06 b9ea321 5,936 BA view · diff
git:20260714.b87d8d42026-07-14 b87d8d4 5,698 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 (5936 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

mohitagw15856/pm-claude-skills · 1,475 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yrxilwwdouyj3tsp
GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/ai-roi-audit
GET https://markdownregistry.com/api/v1/blob/0f9dd633e3ec4925d08c5bf2a1684a2a84d049b97e61722aa455b0bfc6deab77

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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