verification SKILL.md skillA

verification from dcc-mcp/dcc-mcp-core is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add dcc-mcp/dcc-mcp-core/verification@git:20260927.f5cfb64

Pins git:20260927.f5cfb64 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
dcc-mcp/dcc-mcp-core
Path
python/dcc_mcp_core/skills/verification/SKILL.md
Versions recorded
2
Latest version
git:20260927.f5cfb64, committed Sep 27, 2026
First version recorded
Sep 18, 2026
Size
2,833 bytes
Repository stars
73
License
MIT

Cross-DCC verification toolset - deterministic capture review views, in-band image statistics, scene-vs-spec validation, and reference-vs-render comparison sheets. Pure Python, read-only, DCC-agnostic. Use to close the quality loop without shipping pixels to a model: flag white/near-black/gamma-broken frames from stats alone and catch missing-UV/missing-part exports before export. Not for scoring or aesthetic review - this toolset packages evidence and computes no scores.

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

# Verification

A cross-DCC, read-only verification toolset (`affinity: any`) that closes the
capture-and-look quality loop with deterministic, machine-checkable signals.
Inspired by img2threejs's "deterministic-first, model-last" review design, it
computes evidence in-band — statistics, hashes, and verdicts — and never ships
pixels to a model unless a caller explicitly asks for `image`/`both` payloads.

The four tools map to the four legs of the deterministic capture contract:

- `capture_review_views` — the fixed front / side / top / three-quarter view
  plan, viewport-only, fails loudly on a missing, wrong-size, or blank frame.
- `image_stats` — mean luma, stddev, histogram, uniformity, and bad-frame flags
  (white playblast, near-black render, missing display transform).
- `validate_scene_vs_spec` — hierarchy names, material bindings, per-mesh UV
  coverage, part existence, non-manifold, and Euler checks, before export.
- `make_comparison_sheet` — reference + renders side-by-side into one image;
  packages evidence and computes no scores.

Pixel-level metrics (pHash / dHash / aHash, silhouette IoU, SSIM, CIEDE2000,
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add dcc-mcp/dcc-mcp-core/verification@sha256:ed1538e1696e30a2

The line at the top of this page pins the label git:20260927.f5cfb64, 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_kiretaiz4l4f4chd.svg)](https://markdownregistry.com/a/art_kiretaiz4l4f4chd)

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

Versions

The registry has recorded 2 versions of this file, between Sep 18, 2026 and Sep 27, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
git:20260927.f5cfb64 latest2026-09-27 f5cfb64 2,833 BA view · diff
git:20260918.50d62cb2026-09-18 50d62cb 2,700 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 (2833 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

dcc-mcp/dcc-mcp-core · 73 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kiretaiz4l4f4chd
GET https://markdownregistry.com/api/v1/resolve?ref=dcc-mcp/dcc-mcp-core/verification
GET https://markdownregistry.com/api/v1/blob/ed1538e1696e30a28238daf9f90857ff5250d8857c5ea2869891e5226a96b2eb

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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