Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 NousResearch/hermes-agent --skill baoyu-comicgit clone --depth 1 https://github.com/NousResearch/hermes-agentWrote 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/nousresearch/hermes-agent/baoyu-comic)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/baoyu-comic"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/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/nousresearch/hermes-agent/baoyu-comic"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/baoyu-comic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 70 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.03553 |
| Opus 5.5 | $0.00007 | $0.01421 |
| Sonnet 5.5 | $0.00003 | $0.00711 |
| Haiku 4.5 | $0.00002 | $0.00355 |
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 16d 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` Copies of this mod
8 near-identical copies found in the catalogue:
- baoyu-comic — 100% identical, 6 lines differ
- baoyu-comic — 100% identical, 6 lines differ
- baoyu-comic — 100% identical, 6 lines differ
- baoyu-comic — 100% identical, 6 lines differ
- baoyu-comic — 100% identical, 6 lines differ
- baoyu-comic — 100% identical, 6 lines differ
- baoyu-comic — 98% identical, 7 lines differ
- baoyu-comic — 98% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 248 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.
- 16d ago Changed f90f4d8eb7f0
- 1mo ago First seen · 248 lines · 17 tokens per session scan A 39daa86a4c97
baoyu-comic is a skill published in the GitHub repository NousResearch/hermes-agent (254,120 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 3,553 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
build-interactive-explainers
A guide for building interactive explainers, calculators, and simulations driven by an executable model. Users change inputs, steps, states, or events to understand a rule or see how a process develops over time.
ai-tutor
Use when user asks to explain, break down, or help understand technical concepts (AI, ML, or other technical topics). Makes complex ideas accessible through plain English and narrative structure. Use the provided scripts to transcribe videos.
education-expert
Expert-level education technology, learning management systems, and ed-tech platforms. Use when the user mentions edtech, lms, e learning, or assessment, or when the task involves Educational Technology or Standards.
biological-expert
Expert-level biology, biotechnology, genetics, bioinformatics, and computational biology. Use when the user mentions biology, biotechnology, genetics, bioinformatics, or genomics, or when the task involves Molecular Biology, Genomics & Bioinformatics, Systems Biology, or Data Analysis.
quantum-expert
Expert-level quantum computing, Qiskit, quantum algorithms, and quantum information. Use when the user mentions quantum computing, Qiskit, quantum algorithms, or quantum information, or when the task involves Quantum Mechanics Basics, Quantum Hardware, Circuit Design, or Algorithm Implementation.
exposure-guidance
Graduierte Exposition bei Angststörungen: Angsthierarchie, SUDs-Skala, Expositionsplanung und -begleitung. Nur Psychoedukation, keine Durchführung.