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 concept-diagramsgit 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/concept-diagrams)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/concept-diagrams"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/concept-diagrams/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/concept-diagrams"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/concept-diagrams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Prompt Injection · line 42 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- low Excessive Agency · line 36 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00014 | $0.04506 |
| Opus 5.5 | $0.00006 | $0.01802 |
| Sonnet 5.5 | $0.00003 | $0.00901 |
| Haiku 4.5 | $0.00001 | $0.00451 |
Grade A, and why
concept-diagrams 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- concept-diagrams — 100% identical, 0 lines differ
- concept-diagrams — 100% identical, 0 lines differ
- concept-diagrams — 100% identical, 2 lines differ
- diagram-concept — 98% identical, 9 lines differ
- concept-diagrams — 95% identical, 6 lines differ
- concept-diagrams — 95% identical, 6 lines differ
- concept-diagrams — 95% identical, 0 lines differ
- concept-diagrams — 94% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Concept Diagrams
Generate production-quality SVG diagrams with a unified flat, minimal design system. Output is a single self-contained HTML file that renders identically in any modern browser, with automatic light/dark mode.
Scope
Best suited for:
- Physics setups, chemistry mechanisms, math curves, biology
- Physical objects (aircraft, turbines, smartphones, mechanical watches, cells)
- Anatomy, cross-sections, exploded layer views
- Floor plans, architectural conversions
- Narrative journeys (lifecycle of X, process of Y)
- Hub-spoke system integrations (smart city, IoT networks, electricity grids)
- Educational / textbook-style visuals in any domain
- Quantitative charts (grouped bars, energy profiles)
Look elsewhere first for:
- Dedicated software / cloud infrastructure architecture with a dark tech aesthetic (consider
architecture-diagramif available) - Hand-drawn whiteboard sketches (consider
excalidrawif available) - Animated explainers or video output (consider an animation skill)
If a more specialized skill is available for the subject, prefer that. If none fits, this skill can serve as a general-purpose SVG diagram fallback — the output will carry the clean educational aesthetic described below, which is a reasonable default for almost any subject.
Workflow
- Decide on the diagram type (see Diagram Types below).
- Lay out components using the Design System rules.
- Write the full HTML page using
templates/template.htmlas the wrapper — paste your SVG where the template says<!-- PASTE SVG HERE -->. - Save as a standalone
.htmlfile (for example~/my-diagram.htmlor./my-diagram.html). - User opens it directly in a browser — no server, no dependencies.
Optional: if the user wants a browsable gallery of multiple diagrams, see "Local Preview Server" at the bottom.
Load the HTML template:
skill_view(name="concept-diagrams", file_path="templates/template.html")
The template embeds the full CSS design system (c-* color classes, text classes, light/dark variables, arrow marker styles). The SVG you generate relies on these classes being present on the hosting page.
What ships with it
19 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.
- examples/apartment-floor-plan-conversion.md 9.0 KB
- examples/automated-password-reset-flow.md 15 KB
- examples/autonomous-llm-research-agent-flow.md 12 KB
- examples/banana-journey-tree-to-smoothie.md 6.0 KB
- examples/commercial-aircraft-structure.md 7.3 KB
- examples/cpu-ooo-microarchitecture.md 9.4 KB
- examples/electricity-grid-flow.md 6.7 KB
- examples/feature-film-production-pipeline.md 8.4 KB
- examples/hospital-emergency-department-flow.md 7.7 KB
- examples/ml-benchmark-grouped-bar-chart.md 4.7 KB
- examples/place-order-uml-sequence.md 20 KB
- examples/smart-city-infrastructure.md 6.9 KB
- examples/smartphone-layer-anatomy.md 5.8 KB
- examples/sn2-reaction-mechanism.md 8.0 KB
- examples/wind-turbine-structure.md 15 KB
- references/dashboard-patterns.md 1.8 KB
- references/infrastructure-patterns.md 5.2 KB
- references/physical-shape-cookbook.md 2.0 KB
- templates/template.html 6.6 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.
- 1mo ago First seen · 363 lines · 14 tokens per session scan A ae9bea1de66f
concept-diagrams is a skill published in the GitHub repository NousResearch/hermes-agent (257,063 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 4,506 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
visualize
Create visualizations and interactive tools directly in conversation. Proactively use to show how something works; explore 'what happens when', 'what changes', or 'help me understand'; compare or inspect; create simulations, maps, charts, graphs, and mockups. Use standard tools for static scientific figures.
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.
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.
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.
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.