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Golang Cli Review

Organization
asteroid-belt
golang-cli-review

Comprehensive code review for Golang CLI applications. Produces an actionable checklist covering error handling, CLI framework patterns (Cobra/urfave), testing, performance, security, and Go idioms. TRIGGERS: Review Go CLI, review golang command-line, code review .go CLI, audit CLI application, check golang tool, review cobra app

Overview

Publisherasteroid-belt
Repositoryskulto
Skill namegolang-cli-review
Stars
51
Forks
2
Bundled files
2
LicenseMIT
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by asteroid-belt on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/asteroid-belt/skulto/tree/main/.claude/skills/golang-cli-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/asteroid-belt/skulto.git /tmp/skulto
mkdir -p .claude/skills
cp -r /tmp/skulto/.claude/skills/golang-cli-review .claude/skills/golang-cli-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Cli Review 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 Golang Cli Review 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 Golang Cli Review 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.

Go CLI Code Review

Review Go CLI applications and produce an actionable checklist of findings.

Review Workflow

  1. Gather code - Read all Go files in the CLI project
  2. Analyze - Evaluate against review categories (see below)
  3. Produce checklist - Use template from references/review-checklist.md

Review Categories

Evaluate each area systematically:

CLI Structure & Framework

  • Framework usage (prefer Cobra for complex CLIs)
  • Command hierarchy and discoverability
  • Help text quality with examples
  • Version command following semver

Error Handling

  • RunE vs Run (must return errors)
  • Error wrapping with %w and context
  • User-facing error actionability
  • Meaningful exit codes (0=success, 1=error, 2=usage)
  • No panics in normal paths

Flag & Argument Design

  • Lowercase-kebab-case naming
  • Short flags for common options (-v, -o, -q)
  • Required flags marked and validated early
  • Sensible defaults
  • Clear descriptions

Input/Output

  • stderr for errors/progress, stdout for data
  • Machine-readable output support (--json, --format)
  • Quiet and verbose mode support
  • Non-TTY mode handling (no prompts)

Security

  • Secrets via env vars or files, never flags
  • Path traversal prevention
  • No shell injection
  • URL scheme validation
  • No sensitive data in logs

Testing

  • Command-level unit tests
  • Error path coverage
  • Integration tests for critical flows

Performance & Resources

  • Context-based cancellation
  • Signal handling (SIGINT/SIGTERM)
  • Proper resource cleanup (defer)
  • No goroutine leaks

Go Idioms

  • Effective Go style compliance
  • Immediate error handling
  • Package naming conventions
  • Interface/struct patterns

Reference Material

For patterns and examples, see references/cli-patterns.md.

Output Format

Use the checklist template from references/review-checklist.md:

## Critical Issues
- [ ] **[C1]** `file.go:123` - Description
  - **Impact:** ...
  - **Fix:** ...

## Warnings
- [ ] **[W1]** `file.go:45` - Description
  - **Why:** ...
  - **Fix:** ...

## Suggestions
- [ ] **[S1]** `file.go:78` - Description
  - **Consider:** ...

## Positive Patterns
- **[P1]** `file.go:90` - What was done well

Severity levels:

  • Critical: Security issues, crashes, data loss - must fix
  • Warning: Bugs, anti-patterns, maintenance concerns - should fix
  • Suggestion: Style, optimization, minor improvements - nice to have
  • Positive: Good practices worth highlighting

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Golang Cli Review AI skill do?

Comprehensive code review for Golang CLI applications. Produces an actionable checklist covering error handling, CLI framework patterns (Cobra/urfave), testing, performance, security, and Go idioms. TRIGGERS: Review Go CLI, review golang command-line, code review .go CLI, audit CLI application, check golang tool, review cobra app

Why use Golang Cli Review on TypingMind?

Because you install it once and use it with any model. Golang Cli Review 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 Golang Cli Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/asteroid-belt/skulto/tree/main/.claude/skills/golang-cli-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Golang Cli Review?

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 Golang Cli Review?

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

Is the Golang Cli Review AI skill free?

Yes. It is published on GitHub by asteroid-belt 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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