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 athola/claude-night-market --skill architecture-diagramgit clone --depth 1 https://github.com/athola/claude-night-marketWrote 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/athola/claude-night-market/architecture-diagram)<a href="https://agentmods.dev/skills/athola/claude-night-market/architecture-diagram"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/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/athola/claude-night-market/architecture-diagram"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/architecture-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00711 |
| Opus 5 | $0.00014 | $0.00356 |
| Sonnet 5 | $0.00005 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Diagram
Generate a Mermaid flowchart showing high-level component relationships in a codebase.
When To Use
- Visualizing how plugins/modules relate to each other
- Onboarding to understand system structure
- Documenting architecture for PR reviews
- Answering "how does this system fit together?"
When NOT To Use
- Import-level coupling (use
cartograph:dependency-graph) - Runtime call paths (use
cartograph:call-chain)
Workflow
Step 1: Explore the Codebase
Dispatch the codebase explorer agent to analyze the scope:
Agent(cartograph:codebase-explorer)
Prompt: Explore [scope] and return a structural model.
Focus on packages, modules, and their relationships
for an architecture diagram.
If no scope is provided, use the project root.
Step 2: Generate Mermaid Syntax
Transform the structural model into a Mermaid flowchart.
Rules for architecture diagrams:
- Use
flowchart TD(top-down) for hierarchical systems - Use
flowchart LR(left-right) for pipeline/flow systems - Group related modules into subgraphs by package
- Use descriptive edge labels for relationships
- Limit to 15-20 nodes maximum (aggregate small modules)
- Use shapes to distinguish component types:
[Rectangle]for modules/packages([Stadium])for entry points/commands[(Database)]for data stores{Diamond}for decision points
Example output:
flowchart TD
subgraph sanctum[Sanctum Plugin]
commit[Commit Messages]
pr[PR Preparation]
workspace[Workspace Review]
end
subgraph leyline[Leyline Plugin]
git[Git Platform]
patterns[Error Patterns]
end
commit --> git
pr --> workspace
pr --> git
workspace --> patterns
Step 3: Render via MCP
Call the Mermaid Chart MCP to render:
mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
prompt: "Architecture diagram of [scope]"
mermaidCode: [generated syntax]
diagramType: "flowchart"
clientName: "claude-code"
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.
- 9d ago First seen · 108 lines · 27 tokens per session scan A cf0e917320b0
architecture-diagram is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 711 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
Other skills, from other repositories
chameleon
Match the house style when adding code to an existing codebase. Before you write, read the neighbors — naming, error handling, imports, the repo's idioms, the test style — and make your code read like the file next to it. Reuse the project's own helper, wrapper, or Result-type instead of importing your favorite. New…
explainer
Reviewable git hygiene for work you're about to commit or open a PR for. Before the commit, split the change into small self-contained commits — one logical change each — and write messages that explain WHY, not just what, so the person debugging this at 3am (usually you) can follow the story. Structure the diff so a…
fact-checker
Anti-hallucination discipline for any code that names an external symbol you aren't certain exists — a library function, method, config key, package version, CLI flag, env var, or endpoint. Before you call it, cite it, or import it, confirm it's real: grep the codebase, read the installed package's actual signature…
historian
Chesterton's Fence for code you're about to delete or refactor. Before you rip out a weird retry, a seemingly dead branch, an ugly workaround, or a "redundant" check whose purpose isn't obvious — find out why it exists first. git blame it, find the callers, read the linked issue/PR/commit. If you can't explain why the…
claudex-second-opinion
Suggests a cross-model second opinion after substantial or risky code changes. Use when a significant implementation, refactor, security-sensitive change, or uncertain bug fix has just been completed and is about to be committed or shipped. Advisory only — it recommends running /claudex:verdict; it never invokes Codex…
code-quality
Multi-language code quality standards and review for TypeScript, Python, Go, and Rust. Enforces type safety, security, performance, and maintainability. Use when writing, reviewing, or refactoring code. Includes review process, checklist, and Python PEP 8 deep-dive.