model-architecture-diagram

model-architecture-diagram is a skill for Claude Code, Codex from BBuf/AI-Infra-Auto-Driven-SKILLS. It costs 94 tokens per session (1,174 once invoked), scanned A, original, no licence file.

A source for original architecture diagrams of specific AI models. These diagrams show how a model is structured, including components such as language models, vision-language models, mixture-of-experts models, and diffusion models.

In plain words
What is it for?
Use it to find a public architecture diagram or rendered image link for a requested model family, including DeepSeek, GLM, Qwen, Kimi, MiniMax, Step, Hunyuan, and others.
Why use it?
It helps when a model’s internal structure is difficult to understand from text alone or when a direct diagram link is needed.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Part of the ai-infra-auto-driven-skills plugin — 12 skills shipped together

Good fit Use it to find a public architecture diagram or rendered image link for a requested model family, including DeepSeek, GLM, Qwen, Kimi, MiniMax, Step, Hunyuan, and others.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bbuf/ai-infra-auto-driven-skills/model-architecture-diagram
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 BBuf/AI-Infra-Auto-Driven-SKILLS --skill model-architecture-diagram
Clone the repo
git clone --depth 1 https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS

Made for: Claude Code, Codex.

Or install ai-infra-auto-driven-skills, the plugin that ships this one along with the rest of its 12 skills.

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 model-architecture-diagram

README.md
[![agentmods](https://agentmods.dev/badge/skills/bbuf/ai-infra-auto-driven-skills/model-architecture-diagram/github.svg)](https://agentmods.dev/skills/bbuf/ai-infra-auto-driven-skills/model-architecture-diagram)
Your own site
<a href="https://agentmods.dev/skills/bbuf/ai-infra-auto-driven-skills/model-architecture-diagram"><img src="https://agentmods.dev/badge/skills/bbuf/ai-infra-auto-driven-skills/model-architecture-diagram/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 model-architecture-diagram

Your own site · 80×15
<a href="https://agentmods.dev/skills/bbuf/ai-infra-auto-driven-skills/model-architecture-diagram"><img src="https://agentmods.dev/badge/skills/bbuf/ai-infra-auto-driven-skills/model-architecture-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,174 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00094 $0.01174
Opus 5 $0.00047 $0.00587
Sonnet 5 $0.00019 $0.00235
Haiku 4.5 $0.00009 $0.00117

Measured 12d ago against content hash 505ad31d9f29, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

model-architecture-diagram scanned grade A with 1 finding 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/model_architecture_diagram.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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -L -o /tmp/sgl-cookbook-model-architecture-images-2026-05-02.zip \
skills/model-architecture-diagram/SKILL.md · 94 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 files 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. 12d ago First seen · 94 lines · 94 tokens per session scan A 505ad31d9f29

Subscribe to this mod's changes

model-architecture-diagram is a skill published in the GitHub repository BBuf/AI-Infra-Auto-Driven-SKILLS (813 stars, last pushed today), with no licence file. It adds 94 tokens to every session and 1,174 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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