Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.
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 moltis-org/moltis --skill architecture-diagramgit clone --depth 1 https://github.com/moltis-org/moltisWrote 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/moltis-org/moltis/architecture-diagram)<a href="https://agentmods.dev/skills/moltis-org/moltis/architecture-diagram"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/architecture-diagram/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/moltis-org/moltis/architecture-diagram"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/architecture-diagram.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 | $0.00163 | $0.01631 |
| Opus 5.5 | $0.00065 | $0.00652 |
| Sonnet 5.5 | $0.00033 | $0.00326 |
| Haiku 4.5 | $0.00016 | $0.00163 |
Grade A, and why
architecture-diagram 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.
This is a copy
80% identical to architecture-diagram — 15 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Diagram Skill
Generate professional, dark-themed technical architecture diagrams as standalone HTML files with inline SVG graphics. No external tools, no API keys, no rendering libraries — just write the HTML file and open it in a browser.
Scope
Best suited for:
- Software system architecture (frontend / backend / database layers)
- Cloud infrastructure (VPC, regions, subnets, managed services)
- Microservice / service-mesh topology
- Database + API map, deployment diagrams
- Anything with a tech-infra subject that fits a dark, grid-backed aesthetic
Look elsewhere first for:
- Physics, chemistry, math, biology, or other scientific subjects
- Physical objects (vehicles, hardware, anatomy, cross-sections)
- Floor plans, narrative journeys, educational / textbook-style visuals
- Hand-drawn whiteboard sketches (consider
excalidraw) - Animated explainers (consider an animation skill)
If a more specialized skill is available for the subject, prefer that. If none fits, this skill can also serve as a general SVG diagram fallback — the output will just carry the dark tech aesthetic described below.
Based on Cocoon AI's architecture-diagram-generator (MIT).
Workflow
- User describes their system architecture (components, connections, technologies)
- Generate the HTML file following the design system below
- Save with
write_fileto a.htmlfile (e.g.~/architecture-diagram.html) - User opens in any browser — works offline, no dependencies
Output Location
Save diagrams to a user-specified path, or default to the current working directory:
./[project-name]-architecture.html
Preview
After saving, suggest the user open it:
# macOS
open ./my-architecture.html
# Linux
xdg-open ./my-architecture.html
Design System & Visual Language
Color Palette (Semantic Mapping)
Use specific rgba fills and hex strokes to categorize components:
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 · 144 lines · 163 tokens per session scan A a487e767a30b
architecture-diagram is a skill published in the GitHub repository moltis-org/moltis (2,925 stars, last pushed 4d ago), licensed MIT. It adds 163 tokens to every session and 1,631 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to architecture-diagram, differing in 15 lines, and is treated as a copy.
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