claude-skills: Skill for Gemini CLI

.gemini/skills/embedded-iot-mentor/SKILL.md

embedded-iot-mentor is a skill for Gemini CLI from alirezarezvani/claude-skills. It costs 0 tokens per session (15 once invoked), scanned A, original, MIT.

A skill entry named embedded IoT mentor, referring to guidance for small connected devices and their software.

In plain words
What is it for?
It may help with embedded-device or IoT work, but the available details do not state which tasks it supports.
Why use it?
The supplied information only identifies its name and file path, so its mentoring topics are not described.

Skill for Gemini CLI

Written for Gemini CLI: installed under .gemini/.

This is alirezarezvani/claude-skills's own configuration. It tells Gemini CLI how to work on claude-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-skills configures →

About the project

claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.

alirezarezvani/claude-skills · 28,607 stars · on GitHub · alirezarezvani.medium.com

Reuse

Borrowing it

Nothing to install: this file belongs to alirezarezvani/claude-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.

Copy the file
curl -O https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/.gemini/skills/embedded-iot-mentor/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/alirezarezvani/claude-skills

Made for: Gemini CLI.

Wrote 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.

agentmods badge for embedded-iot-mentor

README.md
[![agentmods](https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/embedded-iot-mentor/github.svg)](https://agentmods.dev/skills/alirezarezvani/claude-skills/embedded-iot-mentor)
Your own site
<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/embedded-iot-mentor"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/embedded-iot-mentor/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.

agentmods 80×15 button for embedded-iot-mentor

Your own site · 80×15
<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/embedded-iot-mentor"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/embedded-iot-mentor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00015
Opus 5.5 $0.00000 $0.00006
Sonnet 5.5 $0.00000 $0.00003
Haiku 4.5 $0.00000 $0.00002

Measured 2d ago against content hash 8587524c41d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

embedded-iot-mentor 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 2d 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.

.gemini/skills/embedded-iot-mentor/SKILL.md · 1 lines

What it actually says

../../../engineering-team/skills/embedded-iot-mentor/SKILL.md

Changes

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.

  1. 2d ago First seen · 1 lines · 0 tokens per session scan A 8587524c41d4

Subscribe to this mod's changes

embedded-iot-mentor is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 15 tokens. 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 2026-10-22.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens