Borrowing it
Nothing to install: this file belongs to HaoZhang615/ads-copilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HaoZhang615/ads-copilot/main/.github/skills/architecture-diagramming/SKILL.mdgit clone --depth 1 https://github.com/HaoZhang615/ads-copilotWrote 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/haozhang615/ads-copilot/architecture-diagramming)<a href="https://agentmods.dev/skills/haozhang615/ads-copilot/architecture-diagramming"><img src="https://agentmods.dev/badge/skills/haozhang615/ads-copilot/architecture-diagramming/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/haozhang615/ads-copilot/architecture-diagramming"><img src="https://agentmods.dev/badge/skills/haozhang615/ads-copilot/architecture-diagramming.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 | $0.00060 | $0.01326 |
| Opus 5 | $0.00030 | $0.00663 |
| Sonnet 5 | $0.00012 | $0.00265 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
architecture-diagramming 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Diagramming Skill
This skill provides diagram generation conventions and patterns for Architecture Design Sessions. It is domain-agnostic — the domain skill (e.g., Databricks, Fabric, AWS) supplies the domain-specific components, while this skill supplies the diagramming methodology, style guide, and generic architecture patterns.
Dual-Diagram Workflow
Every ADS session produces two architecture diagrams:
1. Current State Diagram (after Phase 2 — Current Landscape)
Purpose: Capture the existing environment as-is so both parties share a common baseline.
What to include:
- All systems, services, and platforms mentioned by the user
- Integrations and data flows between systems
- Pain points annotated as comments or styled nodes
- Team/ownership boundaries (if discussed)
Template structure:
---
title: Current State Architecture
---
flowchart LR
subgraph EXT["External Systems"]
%% Sources, SaaS, partners
end
subgraph CURRENT["Current Platform"]
%% Existing systems, databases, compute
end
subgraph CONSUME["Consumers"]
%% BI tools, applications, users
end
%% Data flows between subgraphs
EXT --> CURRENT --> CONSUME
Rules:
- Label the diagram clearly as "Current State Architecture" in the title.
- Do NOT include future-state components — this is a snapshot of today.
- Present to the user and explicitly ask: "Does this accurately capture your current environment? Anything missing or incorrect?"
- Do NOT proceed to Phase 3 until the user confirms the current state.
2. Future State Diagram (Phase 5 — Future State Diagram Generation)
Purpose: The recommended target architecture based on all gathered requirements.
Template structure:
---
title: Future State Architecture
---
flowchart LR
subgraph SRC["Data Sources"]
%% Sources identified in discovery
end
subgraph PLATFORM["Target Platform"]
%% Core platform components
%% Grouped by layer: ingestion, processing, storage, serving
end
subgraph SEC["Security & Identity"]
%% Security components
end
subgraph CONSUME["Consumers"]
%% BI, applications, APIs
end
%% Data flows
SRC --> PLATFORM --> CONSUME
SEC -.->|governs| PLATFORM
What ships with it
5 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 · 146 lines · 60 tokens per session scan A eaf4958f92f8
architecture-diagramming is a skill published in the GitHub repository HaoZhang615/ads-copilot (2 stars, last pushed 6mo ago), licensed MIT. It adds 60 tokens to every session and 1,326 once invoked, about $0.0003 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 2026-08-31.
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