Home / alpacalabsllc / skills-for-architects · skills/product-image-processor/SKILL.md · GitHub

product-image-processor skillA

product-image-processor is agent-read markdown (skill) from alpacalabsllc/skills-for-architects: Download, resize, and remove backgrounds from product images at scale. Use when the user asks to "process product images", batch-download images from the schedule, strip backgrounds, or standardize product photos..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# /as:product-image-processor — Product Image Processor

Before acting, read the [host contract](../../docs/host-harness-contract.md) and this component's [declaration](host-contract.json) (`skill:product-image-processor`). Load only its referenced mode profiles from the [shared catalog](../../corpus/host-contracts.json). Compose modes required by the actual task; declarations are requirements, not proof of access or permission. Use the actual host’s [delivery route](../../docs/host-adapters.md).

Library changes are owned by [/as:product-library](../product-library/SKILL.md). Prepare the selected rows and evidence, then delegate the complete save request under existing authorization. That native owner controls preview, any genuinely required gate, preview-hash/request-ID binding and fresh readback. This skill does not independently mutate `product-library.csv`.

## Native execution and publication
…

Read the whole file at its exact version.

How to install

Latest version
mdr add alpacalabsllc/skills-for-architects/product-image-processor@git:20260923.ae5849f
Exact content
mdr add alpacalabsllc/skills-for-architects/product-image-processor@sha256:8529c7059e08b2ca

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260923.ae5849f latest2026-09-23 ae5849f 15,018 BA view · diff
git:20260920.ef0a19e2026-09-20 ef0a19e 15,014 BA view · diff
git:20260812.ab1329f2026-08-12 ab1329f 6,093 BA view · diff
git:20260726.e7024512026-07-26 e702451 5,776 BA view · diff
git:20260720.a66efb12026-07-20 a66efb1 6,157 BA view · diff
git:20260720.bc99fae2026-07-20 bc99fae 6,013 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (15018 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

alpacalabsllc/skills-for-architects · 361 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hlyrvfaomomjipsr
GET https://markdownregistry.com/api/v1/resolve?ref=alpacalabsllc/skills-for-architects/product-image-processor
GET https://markdownregistry.com/api/v1/blob/8529c7059e08b2caf1f7d2f77d10a5b6e5f8373cea0986715fb22da76eac2896

Your agent 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.

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