multiview-fit-loop

multiview-fit-loop is a skill for Claude Code from CheshireJCat/blender. It costs 70 tokens per session (554 once invoked), scanned A, a copy of multiview-fit-loop, MIT.

A repeatable process for fitting a Blender model to front, side, back, and top reference templates. It renders the model, measures differences, adjusts it, and renders again.

In plain words
What is it for?
Comparing silhouettes, bounding boxes, centers, sizes, and centroids across available views, then guiding model or camera adjustments until the checks pass.
Why use it?
It exposes mismatched proportions and prevents claiming a fit when the supplied views contradict one another.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Comparing silhouettes, bounding boxes, centers, sizes, and centroids across available views, then guiding model or camera adjustments until the checks pass.

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Install with agentmods
npx agentmods add skills/cheshirejcat/blender/multiview-fit-loop
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CheshireJCat/blender --skill multiview-fit-loop
Clone the repo
git clone --depth 1 https://github.com/CheshireJCat/blender

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for multiview-fit-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/cheshirejcat/blender/multiview-fit-loop/github.svg)](https://agentmods.dev/skills/cheshirejcat/blender/multiview-fit-loop)
Your own site
<a href="https://agentmods.dev/skills/cheshirejcat/blender/multiview-fit-loop"><img src="https://agentmods.dev/badge/skills/cheshirejcat/blender/multiview-fit-loop/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for multiview-fit-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/cheshirejcat/blender/multiview-fit-loop"><img src="https://agentmods.dev/badge/skills/cheshirejcat/blender/multiview-fit-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.00554
Opus 5 $0.00035 $0.00277
Sonnet 5 $0.00014 $0.00111
Haiku 4.5 $0.00007 $0.00055

Measured 10d ago against content hash d4d79dfecdc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

multiview-fit-loop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/multiview_fit_report.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

89% identical to multiview-fit-loop — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/create-3d-model/references/modules/multiview-fit-loop/SKILL.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multiview Fit Loop

This skill closes the missing loop: render → compare → adjust → render again. It is mandatory when a user says the model still does not fit the templates/originals.

Required loop

  1. Render flat, material-independent silhouettes for every available template view: front, side, back, top.
  2. Extract the template object mask, excluding labels, cyan guides, and background.
  3. Compare template vs render per view:
    • bbox center and size
    • centroid drift
    • silhouette coverage/IoU where modality is valid
    • visual overlay
  4. Convert measured deltas into model/camera/recipe adjustments.
  5. Rebuild or transform the model.
  6. Repeat until all hard gates pass or document the remaining conflict.

Constraint inconsistency gate

Before forcing adjustments, check whether the supplied orthographic templates are mutually consistent. A single rigid 3D model cannot simultaneously satisfy contradictory physical ratios, for example if side view says total depth is 0.39 of height but top view says depth is 0.98 of width. When this occurs, stop claiming final fit, write a conflict report, and create separate variants or ask which view is canonical.

Hard gates

  • all required views have validation reports and overlays;
  • bbox center drift <= 1.5% of image width;
  • bbox size drift <= 3% for front, <= 5% for side/top/back first-pass depth;
  • structural part count exact;
  • texture UV regions still valid after geometry changes.

View mask rule

For annotated wireframes, choose a template mask mode that isolates the intended construction/object lines and excludes guide colors, labels, captions, and background annotations. For Blender validation renders, use a flat white silhouette on black, not beauty renders with glow/context elements.

Scripts

  • scripts/multiview_fit_report.py compares view pairs and writes JSON + overlays.

Adjustment rule

Prefer changing recipe parameters or source geometry over camera scale tricks. Camera scale may be used only after model dimensions are correct.

Read the full file on GitHub · 48 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 48 lines · 70 tokens per session scan A d4d79dfecdc7

Subscribe to this mod's changes

multiview-fit-loop is a skill published in the GitHub repository CheshireJCat/blender (26 stars, last pushed 20d ago), licensed MIT. It adds 70 tokens to every session and 554 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to multiview-fit-loop, differing in 2 lines, and is treated as a copy.

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