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 rondoflow/rondoflow --skill ai-comic-manga-creationgit clone --depth 1 https://github.com/rondoflow/rondoflowWrote 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/rondoflow/rondoflow/ai-comic-manga-creation)<a href="https://agentmods.dev/skills/rondoflow/rondoflow/ai-comic-manga-creation"><img src="https://agentmods.dev/badge/skills/rondoflow/rondoflow/ai-comic-manga-creation/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/rondoflow/rondoflow/ai-comic-manga-creation"><img src="https://agentmods.dev/badge/skills/rondoflow/rondoflow/ai-comic-manga-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.02159 |
| Opus 5.5 | $0.00018 | $0.00864 |
| Sonnet 5.5 | $0.00009 | $0.00432 |
| Haiku 4.5 | $0.00005 | $0.00216 |
Grade A, and why
ai-comic-manga-creation 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comi Cog - Comics & Manga Powered by CellCog
Create visual stories with AI - from manga pages to webtoons to comic strips with consistent characters.
Prerequisites
This skill requires the cellcog skill for SDK setup and API calls.
clawhub install cellcog
Read the cellcog skill first for SDK setup. This skill shows you what's possible.
OpenClaw agents (fire-and-forget — recommended for long tasks):
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main", # OpenClaw only
task_label="my-task",
chat_mode="agent", # See cellcog skill for all modes
)
All other agents (blocks until done):
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
)
See the cellcog mothership skill for complete SDK API reference — delivery modes, timeouts, file handling, and more.
Why Comi-Cog is Complex Work
Comics are one of the most demanding creative outputs:
- Character Consistency: Same character must look identical across dozens of panels
- Visual Storytelling: Every panel needs composition, flow, and meaning
- Sequential Art: Panels must read naturally, guide the eye, create rhythm
- Text Integration: Speech bubbles, sound effects, narration boxes
- Style Coherence: Art style must stay consistent throughout
This is complex work. CellCog excels here because it maintains context across panels and pages, ensuring your characters look like themselves in every frame.
What Comics You Can Create
Manga Pages
Japanese-style sequential art:
- Action Manga: "Create a fight scene manga page with dynamic movement"
- Slice of Life: "Make a cozy manga page of friends at a café"
- Shonen Style: "Create an intense rivalry moment between two characters"
- Romance: "Make a confession scene in shoujo manga style"
Example prompt:
"Create a manga page (4 panels):
Scene: Hero confronts the villain for the first time
Panel 1: Wide shot - hero enters dark throne room Panel 2: Close-up - villain's smirk from shadow Panel 3: Dramatic - villain stands, revealing full design Panel 4: Reaction - hero's determined expression
Style: Dark fantasy shonen (like Berserk meets Demon Slayer) Include: Speed lines, dramatic shadows, Japanese SFX
Characters:
- Hero: Young warrior, silver hair, scar across eye, armored
- Villain: Elegant, long black hair, flowing robes, unsettling beauty"
What ships with it
1 file 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.
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.
- 1mo ago First seen · 273 lines · 46 tokens per session scan A d60ad3886b75
ai-comic-manga-creation is a skill published in the GitHub repository rondoflow/rondoflow (26 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 2,159 once invoked, about $0.0002 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 2026-09-03.
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