Minutes Verify

CommunityPopular

silverstein

minutes-verify

Verify that Minutes is properly set up and working — model downloaded, mic accessible, directories exist, no stale state. Use when the user says "is minutes working", "check my setup", "verify minutes", "test recording setup", "why isn't minutes working", "minutes health check", or after running setup for the first time.

Overview

Publisher	silverstein
Repository	`minutes`
Skill name	`minutes-verify`
Stars	1.5K
Forks	163
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by silverstein on GitHub. Read the source before you install it.

Installation

Install the Minutes Verify AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/silverstein/minutes/tree/main/tooling/skills/goldens/claude/minutes-verify

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/silverstein/minutes.git /tmp/minutes
mkdir -p .claude/skills
cp -r /tmp/minutes/tooling/skills/goldens/claude/minutes-verify .claude/skills/minutes-verify

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minutes Verify in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Minutes Verify on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Minutes Verify is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/minutes-verify

Run a health check on the Minutes installation to confirm everything is working.

How to verify

Run the verification script included with this skill:

bash
bash "${CLAUDE_PLUGIN_ROOT}/skills/minutes-verify/scripts/verify-setup.sh"

The script checks each component and outputs a pass/fail status for each. Read the output and report results to the user.

What gets checked

Check	What it verifies
Binary	`minutes` command exists on PATH
Model	At least one whisper model downloaded in `~/.minutes/models/` or `~/.cache/whisper/`
Meetings dir	`~/meetings/` directory exists
Memos dir	`~/meetings/memos/` directory exists
PID state	No stale PID file in `~/.minutes/recording.pid`
Audio input	CLI-context audio input visibility (macOS only; desktop readiness is authoritative for the signed app)
Config	`~/.config/minutes/config.toml` exists (optional — defaults work fine)
Spotlight privacy	macOS `.metadata_never_index` markers exist for `~/.minutes` and `~/meetings` when those directories exist

After verification

If any checks fail, tell the user exactly what to do:

Binary missing → cargo build --release in the minutes repo, then add to PATH
No model → minutes setup --model small (recommended) or --model tiny (faster, lower quality)
No meetings dir → mkdir -p ~/meetings/memos — will also be created on first recording
Stale PID → rm ~/.minutes/recording.pid — previous recording crashed without cleanup
Audio input warning → Treat as CLI-context-only. If the signed desktop app's Readiness Center shows Audio input/Microphone as ready, trust the desktop app identity.
Spotlight privacy warning → Open the desktop app or run minutes setup so Minutes can recreate the .metadata_never_index markers.

Gotchas

The script is macOS-specific for the audio input check (uses system_profiler). On Linux, that check will be skipped. On macOS, shell-context checks can disagree with the signed desktop app; use the desktop Readiness Center for TCC-sensitive truth.
"Model not found" is the #1 setup issue — most people forget to run minutes setup after building.
Config file is optional — if ~/.config/minutes/config.toml doesn't exist, that's fine. Minutes uses compiled defaults. Only flag it as "not configured" (informational), not as an error.
Spotlight privacy uses folder markers — Minutes verifies .metadata_never_index; it does not disable Spotlight indexing for the whole user volume.

Frequently asked questions

What does the Minutes Verify AI skill do?

Why use Minutes Verify on TypingMind?

Because you install it once and use it with any model. Minutes Verify is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Minutes Verify in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/silverstein/minutes/tree/main/tooling/skills/goldens/claude/minutes-verify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Minutes Verify?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Minutes Verify?

As many as you like. As long as a model supports skills, you can use Minutes Verify with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Minutes Verify AI skill free?

Yes. It is published on GitHub by silverstein under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

/minutes-verify

How to verify

What gets checked

After verification

Gotchas

Frequently asked questions

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