baoyu-infographic

baoyu-infographic is a skill for Claude Code, Codex from moltis-org/moltis. It costs 70 tokens per session (2,642 once invoked), scanned A, a copy of baoyu-infographic, MIT.

A toolkit for creating pictures and text banners from ordinary keyboard characters, called ASCII art. It supports local command-line tools and some free online services for text, images, and related artwork.

In plain words
What is it for?
Use it to create project-name banners, decorative terminal output, logos, text effects, or ASCII versions of images.
Why use it?
It lets you make character-based artwork without needing image-editing software or paid API keys. Different tools cover banners, boxes, text effects, and converting images into character art.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for hermes-agent. Also seen: built for hermes-agent.

Good fit Use it to create project-name banners, decorative terminal output, logos, text effects, or ASCII versions of images.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/moltis-org/moltis/baoyu-infographic
About the project

Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.

moltis-org/moltis · 2,851 stars · on GitHub · moltis.org

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 moltis-org/moltis --skill baoyu-infographic
Clone the repo
git clone --depth 1 https://github.com/moltis-org/moltis

Made for: Claude Code, Codex.

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 baoyu-infographic

README.md
[![agentmods](https://agentmods.dev/badge/skills/moltis-org/moltis/baoyu-infographic/github.svg)](https://agentmods.dev/skills/moltis-org/moltis/baoyu-infographic)
Your own site
<a href="https://agentmods.dev/skills/moltis-org/moltis/baoyu-infographic"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/baoyu-infographic/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 baoyu-infographic

Your own site · 80×15
<a href="https://agentmods.dev/skills/moltis-org/moltis/baoyu-infographic"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/baoyu-infographic.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 2,642 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 91% 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 $0.02642
Opus 5 $0.00035 $0.01321
Sonnet 5 $0.00014 $0.00528
Haiku 4.5 $0.00007 $0.00264

Measured 12d ago against content hash 74853db2a97c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

baoyu-infographic 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 12d 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

This is a copy

91% identical to baoyu-infographic — 16 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.

crates/skills/src/assets/creative/baoyu-infographic/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Infographic Generator

Adapted from baoyu-infographic for Moltis's tool ecosystem.

Two dimensions: layout (information structure) × style (visual aesthetics). Freely combine any layout with any style.

When to Use

Trigger this skill when the user asks to create an infographic, visual summary, information graphic, or uses terms like "信息图", "可视化", or "高密度信息大图". The user provides content (text, file path, URL, or topic) and optionally specifies layout, style, aspect ratio, or language.

Options

Option Values
Layout 21 options (see Layout Gallery), default: bento-grid
Style 21 options (see Style Gallery), default: craft-handmade
Aspect Named: landscape (16:9), portrait (9:16), square (1:1). Custom: any W:H ratio (e.g., 3:4, 4:3, 2.35:1)
Language en, zh, ja, etc.
Layout Best For
linear-progression Timelines, processes, tutorials
binary-comparison A vs B, before-after, pros-cons
comparison-matrix Multi-factor comparisons
hierarchical-layers Pyramids, priority levels
tree-branching Categories, taxonomies
hub-spoke Central concept with related items
structural-breakdown Exploded views, cross-sections
bento-grid Multiple topics, overview (default)
iceberg Surface vs hidden aspects
bridge Problem-solution
funnel Conversion, filtering
isometric-map Spatial relationships
dashboard Metrics, KPIs
periodic-table Categorized collections
comic-strip Narratives, sequences
story-mountain Plot structure, tension arcs
jigsaw Interconnected parts
venn-diagram Overlapping concepts
winding-roadmap Journey, milestones
circular-flow Cycles, recurring processes
dense-modules High-density modules, data-rich guides

Full definitions: references/layouts/<layout>.md

Read the full file on GitHub · 234 lines

Files

What ships with it

46 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 · 234 lines · 70 tokens per session scan A 74853db2a97c

Subscribe to this mod's changes

baoyu-infographic is a skill published in the GitHub repository moltis-org/moltis (2,851 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 2,642 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to baoyu-infographic, differing in 16 lines, and is treated as a copy.

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