Individual skill

verification

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.

python/dcc_mcp_core/skills/verification/SKILL.md

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Observed behavior: Local scripts
Last checked: Nov 7, 2026

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Repository stars (not skill ratings): 73
Repository last updated: Nov 7, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai-agents Repository topic
automation Repository topic
blender Repository topic
dcc Repository topic
houdini Repository topic
maya Repository topic
mcp Repository topic
model-context-protocol Repository topic
photoshop Repository topic
pyo3 Repository topic
data Derived category

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SKILL.mdcore · 2,833 bytes
SKILL.mdcore · 2,833 bytes
SKILL.mdcore · 2,833 bytes
scripts/_common.pyruns · 8,326 bytes
scripts/capture_review_views.pyruns · 3,386 bytes
scripts/image_stats.pyruns · 1,313 bytes
scripts/make_comparison_sheet.pyruns · 2,988 bytes
scripts/validate_scene_vs_spec.pyruns · 1,965 bytes
tools.yamlasset · 5,101 bytes

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# 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).