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 GGbond-bo/MemOmics-Agent --skill concept-diagramsgit clone --depth 1 https://github.com/GGbond-bo/MemOmics-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/ggbond-bo/memomics-agent/concept-diagrams)<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/concept-diagrams"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-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/ggbond-bo/memomics-agent/concept-diagrams"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/concept-diagrams.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 | $0.00167 | $0.04665 |
| Opus 5 | $0.00084 | $0.02332 |
| Sonnet 5 | $0.00033 | $0.00933 |
| Haiku 4.5 | $0.00017 | $0.00466 |
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 11d 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.
This is a copy
95% identical to concept-diagrams — 6 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.
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
4 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.
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.
- 11d ago First seen · 363 lines · 167 tokens per session scan A 7691a8201899
concept-diagrams is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (19 stars, last pushed yesterday), licensed MIT. It adds 167 tokens to every session and 4,665 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to concept-diagrams, differing in 6 lines, and is treated as a copy.
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