archviz-production

archviz-production is a skill for Claude Code from sodam-ai/SoDam-Agent. It costs 29 tokens per session (221 once invoked), scanned A, original, Apache-2.0.

An architectural visualisation production guide for making images, videos, proposals, and thumbnails that show the value of a building or space. It covers the path from models and images through motion, sound, editing, delivery, and technical checks.

In plain words
What is it for?
Use it to plan a building presentation, create a storyboard, produce motion and audio, make thumbnails, and check the final files and viewing experience.
Why use it?
It helps keep the visual result tied to the design, source drawings, rights, and business purpose. It also distinguishes creating an output from actually watching or listening to it for review.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autonomy-team plugin — 10 skills, 5 hooks shipped together

Good fit Use it to plan a building presentation, create a storyboard, produce motion and audio, make thumbnails, and check the final files and viewing experience.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sodam-ai/sodam-agent/archviz-production
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 sodam-ai/SoDam-Agent --skill archviz-production
Clone the repo
git clone --depth 1 https://github.com/sodam-ai/SoDam-Agent

Made for: Claude Code.

Or install autonomy-team, the plugin that ships this one along with the rest of its 10 skills, 5 hooks.

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 archviz-production

README.md
[![agentmods](https://agentmods.dev/badge/skills/sodam-ai/sodam-agent/archviz-production/github.svg)](https://agentmods.dev/skills/sodam-ai/sodam-agent/archviz-production)
Your own site
<a href="https://agentmods.dev/skills/sodam-ai/sodam-agent/archviz-production"><img src="https://agentmods.dev/badge/skills/sodam-ai/sodam-agent/archviz-production/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 archviz-production

Your own site · 80×15
<a href="https://agentmods.dev/skills/sodam-ai/sodam-agent/archviz-production"><img src="https://agentmods.dev/badge/skills/sodam-ai/sodam-agent/archviz-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 221 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 original No closer match found 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 $0.00029 $0.00221
Opus 5.5 $0.00012 $0.00088
Sonnet 5.5 $0.00006 $0.00044
Haiku 4.5 $0.00003 $0.00022

Measured 20d ago against content hash c37db20fca43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

archviz-production 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 20d ago.

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.

plugins/autonomy-team/skills/archviz-production/SKILL.md · 11 lines

What it actually says

건축시각화 제작

요구사항·공간 근거·콘셉트·스토리보드·도구·모델·기간을 정하고 승인 범위에서 제작한다. 모델/이미지→자연스러운 모션→안정된 음성·후반→썸네일→산출물→기술 검사→전체 시청·청취·사업 목적 평가를 연결한다. 보거나 듣지 못한 검수는 미검증으로 기록한다. 원본·권리·도면 충실도를 보존한다. 사용자가 정한 길이 제한을 최소 길이로 바꾸지 않는다.

사용자·상위 지시와 원본 보존을 우선한다. 현재 권한·도구별 쓰기 게이트를 따르며 내부 관점과 독립 검증을 구분한다.

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. 20d ago First seen · 11 lines · 29 tokens per session scan A c37db20fca43

Subscribe to this mod's changes

archviz-production is a skill published in the GitHub repository sodam-ai/SoDam-Agent (16 stars, last pushed 20d ago), licensed Apache-2.0. It adds 29 tokens to every session and 221 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-21.

Related

archviz-production compared with skills from other repositories

archviz-production next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
archviz-productionsodam-ai/SoDam-AgentSkill1620d agoApache-2.0A29Claude Code
ui-design-sourceOrkas-AI/OrkasSkill9.1kyesterdayMITA3Claude Code, Codex
design-system-importerOrkas-AI/OrkasSkill9.1kyesterdayMITA4Claude Code, Codex
frontendcode-yeongyu/lazycodexSkill3.9kyesterdayMITA79Codex
image-craftOrkas-AI/OrkasSkill9.1kyesterdayMITA3Claude Code, Codex
ui-colorOrkas-AI/OrkasSkill9.1kyesterdayMITA2Claude Code, Codex
designlang-tokensManavarya09/design-extractSkill5.0k5d agoMITA30Claude Code