analyzing-products SKILL.md skillA

analyzing-products from supercmohq/supercmo-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add supercmohq/supercmo-skills/analyzing-products@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
supercmohq/supercmo-skills
Path
skills/analyzing-products/SKILL.md
Versions recorded
2
Latest version
v0.1.0, committed Aug 11, 2026
First version recorded
Jul 31, 2026
Size
3,189 bytes
Repository stars
291
License
Apache-2.0

Normalizes a product into generation-ready facts — from an e-commerce URL (a clean description plus curated product images) or from a photo alone (category, how it's used, its moving/opening parts, and key visual details). Use when a product URL or photo needs turning into inputs for image/video generation, or when another skill needs product facts before generating.

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

# Product Analysis

Turn a product — an e-commerce **URL** or a bare **photo** — into clean, reusable facts for downstream
image/video generation: a tight description, curated product images, and how the product is physically
used. It's a building block: other skills call it at the input stage, before any generation.

## Workflow

### Step 1: Pick the mode and run it

| Input | Reference | What you produce |
| ----- | --------- | ---------------- |
| An e-commerce URL (Amazon, Shopify, AliExpress, any product page) | `references/url-extract.md` | A two-paragraph description + up to 5 downloaded, filtered product images |
| A product photo only (no URL, no description) | `references/photo-analysis.md` | Category + how it's used + moving/opening parts + key visual details |

Read **only** the matching reference and follow it end to end. If both a URL and a photo are given, run
the URL mode (richer) and keep the photo as one more reference image; if neither is given, there's
nothing to analyze — ask for one. Don't pause for confirmation — a URL (or photo) plus generation
intent means extract and proceed.

### Step 2: Hand off
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add supercmohq/supercmo-skills/analyzing-products@sha256:72007eee87d80023

The line at the top of this page pins the label v0.1.0, 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_c7tnn5xv4mjggltx.svg)](https://markdownregistry.com/a/art_c7tnn5xv4mjggltx)

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

Versions

The registry has recorded 2 versions of this file, between Jul 31, 2026 and Aug 11, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-11 6b0cf78 3,189 BA view · diff
v0.1.02026-07-31 328b49a 3,165 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 (3189 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

supercmohq/supercmo-skills · 291 stars · license Apache-2.0 · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_c7tnn5xv4mjggltx
GET https://markdownregistry.com/api/v1/resolve?ref=supercmohq/supercmo-skills/analyzing-products
GET https://markdownregistry.com/api/v1/blob/72007eee87d800231f12c2bb41d38a5dc1a6dca5e11c06216c694880dfd1c401

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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