article-illustrations

article-illustrations is a skill for Claude Code, Codex from sickn33/agentic-awesome-skills. It costs 32 tokens per session (1,461 once invoked), scanned A, original, MIT.

A visual-content workflow for making 16:9 hand-drawn illustrations for articles, blog posts, and technical documentation. It turns abstract ideas into simple visual metaphors using a recurring floating character called Grav.

In plain words
What is it for?
Use it to identify key ideas in an article and create whiteboard-style explanatory images for inline content.
Why use it?
It helps explain difficult ideas visually instead of relying only on text. It also keeps illustrations consistent across a set of articles.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the agentic-awesome-skills plugin — 196 skills shipped together

Good fit Use it to identify key ideas in an article and create whiteboard-style explanatory images for inline content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sickn33/agentic-awesome-skills/article-illustrations
About the project

AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.

sickn33/agentic-awesome-skills · 46,184 stars · on GitHub · sickn33.github.io

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 sickn33/agentic-awesome-skills --skill article-illustrations
Clone the repo
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills

Made for: Claude Code, Codex.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 196 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 article-illustrations

README.md
[![agentmods](https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/article-illustrations/github.svg)](https://agentmods.dev/skills/sickn33/agentic-awesome-skills/article-illustrations)
Your own site
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/article-illustrations"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/article-illustrations/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 article-illustrations

Your own site · 80×15
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/article-illustrations"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/article-illustrations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,461 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. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00032 $0.01461
Opus 5 $0.00016 $0.00731
Sonnet 5 $0.00006 $0.00292
Haiku 4.5 $0.00003 $0.00146

Measured 5d ago against content hash 5bc89e2e6794, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

article-illustrations 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 5d 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.

Origin

Copies of this mod

6 near-identical copies found in the catalogue:

plugins/agentic-awesome-skills-claude/skills/article-illustrations/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Article Illustrations — Grav Hand-Drawn Style

Overview

Generate 16:9 landscape hand-drawn illustrations for articles, blog posts, and technical content. Each illustration captures one cognitive anchor point from an article and turns it into a clean, absurd, memorable whiteboard-sketch explanation.

The skill uses a recurring character IP called Grav: a small, round, always-floating figure with dot eyes and a thin antenna. Grav participates in the core action of every illustration — never just decoration.

Repository: vipin-si/article-illustrations

When to Use This Skill

  • Use when writing articles, blog posts, or documentation that need inline illustrations
  • Use when you want to turn abstract concepts into concrete visual metaphors
  • Use when you want a consistent visual language across multiple articles
  • Use when you need hand-drawn explanation sketches, not PPT infographics

How It Works

Step 1: Digest the Article

Read the article and identify cognitive anchor points — core judgments, turning points, input/output loops, before/after contrasts, and common pitfalls. Don't distribute illustrations evenly; prioritize moments that benefit from visual explanation.

Step 2: Plan a Shot List

For each illustration, define:

  • Placement: After which section
  • Theme: What this image is about
  • Core Meaning: The one idea it conveys
  • Structure Type: One of 8 composition patterns (Workflow, System Closeup, Before/After, Role States, Conceptual Metaphor, Layered Method, Map Route, Mini Comic)
  • Grav's Action: What Grav is doing in the scene
  • Annotation Labels: 3–5 short English labels

Step 3: Generate Images

Use the generate_image tool with the built-in prompt template. Each image follows strict style rules:

  • Pure white background, no textures
  • Black hand-drawn line art with slight wobble
  • Sparse red/orange/blue handwritten annotations
  • Grav always floating (never touching surfaces)
  • One core idea per image
  • 40–60% canvas usage, 35%+ whitespace

Read the full file on GitHub · 160 lines

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. 5d ago First seen · 160 lines · 32 tokens per session scan A 5bc89e2e6794

Subscribe to this mod's changes

article-illustrations is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,184 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,461 once invoked, about $0.0002 per session on Opus 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 2026-09-05.