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 azure-architecture-autopilotgit 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/azure-architecture-autopilot)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/azure-architecture-autopilot"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/azure-architecture-autopilot/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/azure-architecture-autopilot"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/azure-architecture-autopilot.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 | $0.00150 | $0.01744 |
| Opus 5 | $0.00075 | $0.00872 |
| Sonnet 5 | $0.00030 | $0.00349 |
| Haiku 4.5 | $0.00015 | $0.00174 |
Grade A, and why
azure-architecture-autopilot 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.
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Architecture Builder
A pipeline that designs Azure infrastructure using natural language, or analyzes existing resources to visualize architecture and proceed through modification and deployment.
The diagram engine is embedded within the skill (scripts/ folder).
No pip install needed — it directly uses the bundled Python scripts
to generate interactive HTML diagrams with 605+ official Azure icons.
Ready to use immediately without network access or package installation.
Automatic User Language Detection
🚨 Detect the language of the user's first message and provide all subsequent responses in that language. This is the highest-priority principle.
- If the user writes in Korean → respond in Korean
- If the user writes in English → respond in English (ask_user, progress updates, reports, Bicep comments — all in English)
- The instructions and examples in this document are written in English, and all user-facing output must match the user's language
⚠️ Do not copy examples from this document verbatim to the user. Use only the structure as reference, and adapt text to the user's language.
Tool Usage Guide (GHCP Environment)
| Feature | Tool Name | Notes |
|---|---|---|
| Fetch URL content | web_fetch |
For MS Docs lookups, etc. |
| Web search | web_search |
URL discovery |
| Ask user | ask_user |
choices must be a string array |
| Sub-agents | task |
explore/task/general-purpose |
| Shell command execution | powershell |
Windows PowerShell |
All sub-agents (explore/task/general-purpose) cannot use
web_fetchorweb_search. Fact-checking that requires MS Docs lookups must be performed directly by the main agent.
External Tool Path Discovery
az, python, bicep, etc. are often not on PATH.
Discover once before starting a Phase and cache the result. Do not re-discover every time.
⚠️ Do not use
Get-Command python— risk of Windows Store alias. Direct filesystem discovery ($env:LOCALAPPDATA\Programs\Python) takes priority.
What ships with it
17 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.
- .gitignore 508 B
- assets/06-architecture-diagram.png 327 KB
- assets/07-azure-portal-resources.png 171 KB
- assets/08-deployment-succeeded.png 41 KB
- references/ai-data.md 7.1 KB
- references/architecture-guidance-sources.md 6.9 KB
- references/azure-common-patterns.md 4.2 KB
- references/azure-dynamic-sources.md 4.7 KB
- references/bicep-generator.md 20 KB
- references/bicep-reviewer.md 7.1 KB
- references/phase0-scanner.md 25 KB
- references/phase1-advisor.md 47 KB
- references/phase4-deployer.md 12 KB
- references/service-gotchas.md 6.4 KB
- scripts/cli.py 5.7 KB runs code
- scripts/generator.py 137 KB runs code
- scripts/icons.py 2094 KB runs 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.
- 11d ago First seen · 171 lines · 150 tokens per session scan A 2e8c7088c3df
azure-architecture-autopilot is a skill published in the GitHub repository boshi-xixixi/TraeSkill (263 stars, last pushed 4mo ago), licensed MIT. It adds 150 tokens to every session and 1,744 once invoked, about $0.0007 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 2026-08-30.
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