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.
npx skills add davidtoby/agent-skills --skill baoyu-comicgit clone --depth 1 https://github.com/davidtoby/agent-skillsWrote 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.
[](https://agentmods.dev/skills/davidtoby/agent-skills/baoyu-comic)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/baoyu-comic"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/baoyu-comic/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.
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/baoyu-comic"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/baoyu-comic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00017 | $0.03555 |
| Opus 5 | $0.00009 | $0.01777 |
| Sonnet 5 | $0.00003 | $0.00711 |
| Haiku 4.5 | $0.00002 | $0.00356 |
Grade A, and why
baoyu-comic 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl -fsSL "<url>" -o /abs/path/to/comic/<slug>/NN-page-<slug>.png` This is a copy
98% identical to baoyu-comic — 1 line 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.
How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Comic Creator
Adapted from baoyu-comic for Hermes Agent's tool ecosystem.
Create original knowledge comics with flexible art style × tone combinations.
When to Use
Trigger this skill when the user asks to create a knowledge/educational comic, biography comic, tutorial comic, or uses terms like "知识漫画", "教育漫画", or "Logicomix-style". The user provides content (text, file path, URL, or topic) and optionally specifies art style, tone, layout, aspect ratio, or language.
Reference Images
Hermes' image_generate tool is prompt-only — it accepts a text prompt and an aspect ratio, and returns an image URL. It does NOT accept reference images. When the user supplies a reference image, use it to extract traits in text that get embedded in every page prompt:
Intake: Accept file paths when the user provides them (or pastes images in conversation).
- File path(s) → copy to
refs/NN-ref-{slug}.{ext}alongside the comic output for provenance - Pasted image with no path → ask the user for the path via
clarify, or extract style traits verbally as a text fallback - No reference → skip this section
Usage modes (per reference):
| Usage | Effect |
|---|---|
style |
Extract style traits (line treatment, texture, mood) and append to every page's prompt body |
palette |
Extract hex colors and append to every page's prompt body |
scene |
Extract scene composition or subject notes and append to the relevant page(s) |
Record in each page's prompt frontmatter when refs exist:
references:
- ref_id: 01
filename: 01-ref-scene.png
usage: style
traits: "muted earth tones, soft-edged ink wash, low-contrast backgrounds"
Character consistency is driven by text descriptions in characters/characters.md (written in Step 3) that get embedded inline in every page prompt (Step 5). The optional PNG character sheet generated in Step 7.1 is a human-facing review artifact, not an input to image_generate.
What ships with it
34 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.
- PORT_NOTES.md 5.6 KB
- references/analysis-framework.md 5.4 KB
- references/art-styles/chalk.md 2.7 KB
- references/art-styles/ink-brush.md 2.5 KB
- references/art-styles/ligne-claire.md 2.3 KB
- references/art-styles/manga.md 2.5 KB
- references/art-styles/minimalist.md 3.3 KB
- references/art-styles/realistic.md 2.7 KB
- references/auto-selection.md 3.5 KB
- references/base-prompt.md 3.1 KB
- references/character-template.md 4.8 KB
- references/layouts/cinematic.md 450 B
- references/layouts/dense.md 415 B
- references/layouts/four-panel.md 1.4 KB
- references/layouts/mixed.md 429 B
- references/layouts/splash.md 471 B
- references/layouts/standard.md 440 B
- references/layouts/webtoon.md 778 B
- references/ohmsha-guide.md 2.9 KB
- references/partial-workflows.md 3.0 KB
- references/presets/concept-story.md 5.5 KB
- references/presets/four-panel.md 4.6 KB
- references/presets/ohmsha.md 4.4 KB
- references/presets/shoujo.md 3.2 KB
- references/presets/wuxia.md 2.9 KB
- references/storyboard-template.md 3.9 KB
- references/tones/action.md 2.2 KB
- references/tones/dramatic.md 1.9 KB
- references/tones/energetic.md 2.1 KB
- references/tones/neutral.md 1.3 KB
- references/tones/romantic.md 2.1 KB
- references/tones/vintage.md 2.1 KB
- references/tones/warm.md 1.8 KB
- references/workflow.md 16 KB
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.
- 5d ago First seen · 247 lines · 17 tokens per session scan A ccb91381ff75
baoyu-comic is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 3,555 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 98% identical to baoyu-comic, differing in 1 line, and is treated as a copy.
Other skills, from other repositories
officecli-pitch-deck
Use this skill when the user is building a fundraising / investor pitch deck — seed, Series A / B / C, convertible note, SAFE round, strategic raise. Trigger on: 'pitch deck', 'investor deck', 'Series A deck', 'Series B deck', 'Series C deck', 'fundraising deck', 'seed pitch', 'VC deck', 'raising capital', 'term sheet…
morph-ppt
Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style continuous motion, shapes that grow / move / rotate as the slide advances. Trigger on: 'morph', 'morph transition', 'smooth transition', 'continuous animation across slides', 'Keynote-style…
morph-ppt-3d
3D Morph PPT — extends morph-ppt with GLB model insertion, cinematographic camera, model-content layout, and enriched visual design system.
edu-math-tutorial
A Chinese-language guide for turning a maths problem into a step-by-step teaching video. It explains how to break down the solution, write narration, format equations, and structure scenes.
video-tutorial-maker
Create scripted tutorial videos with narration, TTS, aligned subtitles, MP4 rendering, and platform variants. Use when Codex needs to create or revise tutorial, explainer, product walkthrough, course, demo, or short-form videos; generate 16:9 landscape output by default unless the user explicitly asks for 9:16, 1:1…
study-companion-en
General study companion for learning, review, exam prep, exam-point analysis, syllabus/exam-outline interpretation, finals speedrun teaching, concept explanation, problem solving, homework coaching, error analysis, active recall, flashcards, study plans, visualizations, animations, simulations, coding practice…