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 boshi-xixixi/TraeSkill --skill architecture-diagramgit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/architecture-diagram)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/architecture-diagram"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/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/boshi-xixixi/traeskill/architecture-diagram"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/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 | $0.00037 | $0.02419 |
| Opus 5 | $0.00018 | $0.01210 |
| Sonnet 5 | $0.00007 | $0.00484 |
| Haiku 4.5 | $0.00004 | $0.00242 |
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 10d 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
100% identical to architecture-diagram — 0 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Diagram Skill
Create professional technical architecture diagrams as self-contained HTML files with inline SVG graphics and CSS styling.
Version 1.1 · MIT License · Authored by Cocoon AI
Design System
Color Palette
Use these semantic colors for component types:
| Component Type | Fill (rgba) | Stroke |
|---|---|---|
| Frontend | rgba(8, 51, 68, 0.4) |
#22d3ee (cyan-400) |
| Backend | rgba(6, 78, 59, 0.4) |
#34d399 (emerald-400) |
| Database | rgba(76, 29, 149, 0.4) |
#a78bfa (violet-400) |
| AWS/Cloud | rgba(120, 53, 15, 0.3) |
#fbbf24 (amber-400) |
| Security | rgba(136, 19, 55, 0.4) |
#fb7185 (rose-400) |
| Message Bus | rgba(251, 146, 60, 0.3) |
#fb923c (orange-400) |
| External/Generic | rgba(30, 41, 59, 0.5) |
#94a3b8 (slate-400) |
Typography
Use JetBrains Mono for all text (monospace, technical aesthetic):
<link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500;600;700&display=swap" rel="stylesheet">
Font sizes: 12px for component names, 9px for sublabels, 8px for annotations, 7px for tiny labels.
Visual Elements
Background: #020617 (slate-950) with subtle grid pattern:
<pattern id="grid" width="40" height="40" patternUnits="userSpaceOnUse">
<path d="M 40 0 L 0 0 0 40" fill="none" stroke="#1e293b" stroke-width="0.5"/>
</pattern>
Component boxes: Rounded rectangles (rx="6") with 1.5px stroke, semi-transparent fills.
Security groups: Dashed stroke (stroke-dasharray="4,4"), transparent fill, rose color.
Region boundaries: Larger dashed stroke (stroke-dasharray="8,4"), amber color, rx="12".
Arrows: Use SVG marker for arrowheads:
<marker id="arrowhead" markerWidth="10" markerHeight="7" refX="9" refY="3.5" orient="auto">
<polygon points="0 0, 10 3.5, 0 7" fill="#64748b" />
</marker>
Arrow z-order: Draw connection arrows early in the SVG (after the background grid) so they render behind component boxes. SVG elements are painted in document order, so arrows drawn first will appear behind shapes drawn later.
What ships with it
2 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.
- 10d ago First seen · 178 lines · 37 tokens per session scan A a8dc11b2a648
architecture-diagram is a skill published in the GitHub repository boshi-xixixi/TraeSkill (262 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 2,419 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to architecture-diagram, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
<skill-name>
A template for defining a coding-agent skill, including its title, trigger situations, overview, workflow, common mistakes, and optional references.
spec-writing
A method for writing a software specification: a document that records decisions, reasons, boundaries, and ways to judge whether implementation succeeded. It first checks whether important unknowns require user clarification or technical research.
onboarding-unknown-codebase
A method for quickly understanding an unfamiliar codebase, meaning a software project whose structure and behavior you do not yet know. It builds a project map by examining overview files, directories, and one main execution path.
commit-message
A guide for writing clear, traceable Git commit messages using the Conventional Commits format, which labels changes such as features, bug fixes, documentation, and refactoring.
clarifying-questions
Guidance for clarifying vague or assumption-heavy requests before making changes.
debugging
A systematic method for finding the underlying cause of a software bug by observing the failure, forming a hypothesis, and testing it.