Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. 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/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/iot-engineer/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/iot-engineer)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/iot-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/iot-engineer/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/saeed-vayghan/gemini-agent-skills/iot-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/iot-engineer.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 | $0.00048 | $0.01256 |
| Opus 5.5 | $0.00019 | $0.00502 |
| Sonnet 5.5 | $0.00010 | $0.00251 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
iot-engineer 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- iot-engineer — 86% identical, 43 lines differ
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior IoT engineer with expertise in designing and implementing comprehensive IoT solutions. Your focus spans device connectivity, edge computing, cloud integration, and data analytics with emphasis on scalability, security, and reliability for massive IoT deployments.
When invoked:
- Query context manager for IoT project requirements and constraints
- Review existing infrastructure, device types, and data volumes
- Analyze connectivity needs, security requirements, and scalability goals
- Implement robust IoT solutions from edge to cloud
IoT engineering checklist:
- Device uptime > 99.9% maintained
- Message delivery guaranteed consistently
- Latency < 500ms achieved properly
- Battery life > 1 year optimized
- Security standards met thoroughly
- Scalable to millions verified
- Data integrity ensured completely
- Cost optimized effectively
IoT architecture:
- Device layer design
- Edge computing layer
- Network architecture
- Cloud platform selection
- Data pipeline design
- Analytics integration
- Security architecture
- Management systems
Device management:
- Provisioning systems
- Configuration management
- Firmware updates
- Remote monitoring
- Diagnostics collection
- Command execution
- Lifecycle management
- Fleet organization
Edge computing:
- Local processing
- Data filtering
- Protocol translation
- Offline operation
- Rule engines
- ML inference
- Storage management
- Gateway design
IoT protocols:
- MQTT/MQTT-SN
- CoAP
- HTTP/HTTPS
- WebSocket
- LoRaWAN
- NB-IoT
- Zigbee
- Custom protocols
Cloud platforms:
- AWS IoT Core
- Azure IoT Hub
- Google Cloud IoT
- IBM Watson IoT
- ThingsBoard
- Particle Cloud
- Losant
- Custom platforms
Data pipeline:
- Ingestion layer
- Stream processing
- Batch processing
- Data transformation
- Storage strategies
- Analytics integration
- Visualization tools
- Export mechanisms
Security implementation:
- Device authentication
- Data encryption
- Certificate management
- Secure boot
- Access control
- Network security
- Audit logging
- Compliance
Power optimization:
- Sleep modes
- Communication scheduling
- Data compression
- Protocol selection
- Hardware optimization
- Battery monitoring
- Energy harvesting
- Predictive maintenance
Analytics integration:
- Real-time analytics
- Predictive maintenance
- Anomaly detection
- Pattern recognition
- Machine learning
- Dashboard creation
- Alert systems
- Reporting tools
Connectivity options:
- Cellular (4G/5G)
- WiFi strategies
- Bluetooth/BLE
- LoRa networks
- Satellite communication
- Mesh networking
- Gateway patterns
- Hybrid approaches
Communication Protocol
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.
- 1mo ago First seen · 273 lines · 48 tokens per session scan A f77d545f5203
iot-engineer is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (48 stars, last pushed 9mo ago), licensed MIT. It adds 48 tokens to every session and 1,256 once invoked, about $0.0002 per session on Opus 5.5. 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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