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-smart-city-iot-solution-buildergit 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-smart-city-iot-solution-builder)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/azure-smart-city-iot-solution-builder"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/azure-smart-city-iot-solution-builder/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-smart-city-iot-solution-builder"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/azure-smart-city-iot-solution-builder.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 | $0.00043 | $0.01119 |
| Opus 5 | $0.00022 | $0.00560 |
| Sonnet 5 | $0.00009 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
azure-smart-city-iot-solution-builder 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Smart City IoT Solution Builder
Use this skill to rebuild and standardize a complete workflow for Azure IoT and Smart City solutions.
When to use it
Use this skill when the user asks for things like:
- "I want to build an IoT solution on Azure"
- "Smart City architecture for traffic, lighting, or waste"
- "How do I connect devices, analytics, and alerts?"
- "I need a roadmap and backlog for an urban platform"
Objectives
- Convert a high-level idea into a deployable architecture.
- Reuse existing Azure-focused skills whenever possible.
- Produce concrete artifacts the team can implement.
Workflow
0) Mandatory documentation review (before any architecture)
Before proposing architecture or technology decisions that involve edge computing, review Azure IoT Edge documentation first:
Minimum pages to review:
- What is Azure IoT Edge
- Runtime architecture
- Supported systems
- Version history/release notes
- Relevant Linux/Windows quickstarts for the scenario
If documentation cannot be consulted, state this explicitly and continue with clearly marked assumptions.
1) Scope and constraints
Collect and confirm:
- City domain: mobility, parking, air quality, water, energy, public safety, waste, etc.
- Scale: number of devices, telemetry frequency, retention, regions.
- Latency and availability objectives.
- Regulatory and privacy constraints.
- Existing systems to integrate (SCADA, GIS, ERP, ticketing, APIs).
2) Capability map
Split the platform into layers:
- Device and edge: onboarding, identity, firmware, OTA, edge processing.
- Ingestion and messaging: command and control, event routing, buffering.
- Data and analytics: hot path vs cold path, dashboards, historical analysis.
- Operations: observability, incident flow, SLOs.
- Governance: RBAC, secrets, policies, network isolation.
3) Azure service selection (reference)
- Device connectivity: Azure IoT Hub, Azure IoT Operations, IoT Edge.
- Event streaming: Event Hubs, Service Bus, Event Grid.
- Storage: Blob Storage, Data Lake, Cosmos DB, SQL.
- Analytics: Azure Data Explorer, Stream Analytics, Fabric/Synapse.
- APIs and applications: API Management, App Service, Container Apps, Functions.
- Monitoring: Azure Monitor, Application Insights, Log Analytics.
- Security: Key Vault, Defender for IoT, Private Endpoints, Managed Identity.
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.
- 11d ago First seen · 157 lines · 43 tokens per session scan A ed187e6a2b25
azure-smart-city-iot-solution-builder is a skill published in the GitHub repository boshi-xixixi/TraeSkill (263 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 1,119 once invoked, about $0.0002 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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