Footgun Scan

CommunityPopular

maxrave-dev

footgun-scan

Scan a Kotlin or Compose Multiplatform diff for known footgun shapes and open the matching trap to confirm each hit. Use before committing, when reviewing a Kotlin change, or to audit a codebase.

Overview

Publisher	maxrave-dev
Repository	`kotlin-footguns`
Skill name	`footgun-scan`
Stars	1.2K
Forks	6
Bundled files	1
License	GPL-3.0
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by maxrave-dev on GitHub. Read the source before you install it.

Installation

Install the Footgun Scan 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.
https://github.com/maxrave-dev/kotlin-footguns/tree/main/skills/footgun-scan
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.

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/maxrave-dev/kotlin-footguns.git /tmp/kotlin-footguns
mkdir -p .claude/skills
cp -r /tmp/kotlin-footguns/skills/footgun-scan .claude/skills/footgun-scan

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

Use it in TypingMind

Enable Footgun Scan 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 Footgun Scan 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 Footgun Scan 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.

Footgun scan

scripts/scan.py matches 32 patterns against the lines a change adds. Each pattern is tied to one trap file in the kotlin-footguns area skills. It finds shapes, not bugs: every hit needs the trap's judgment before it becomes a finding.

Run it

From inside the user's git repository, with this skill's base directory as <skill>:

bash
python3 <skill>/scripts/scan.py                     # lines added in the working tree and index since HEAD
python3 <skill>/scripts/scan.py --base origin/main  # lines added on this branch since it left main
python3 <skill>/scripts/scan.py --all src/          # every line under a path: an audit, and noisier

Pick the scope from the request. Uncommitted work takes the default. A branch or pull request takes --base with its target branch. "Audit the codebase" takes --all, narrowed to the paths that matter. For a pre-commit hook or CI step, add --fail to exit 1 on any likely hit.

Triage every hit

Read the trap file the hit points to (the -> path).
Read the code around the hit and decide, by the trap's own conditions, whether it applies. A likely hit is wrong unless the exception the trap names holds. A look hit is a place the trap says to inspect before trusting it.
Report each confirmed problem with the trap's fix and its Verifying step. List dismissed hits one line each with the reason, for example "column is NOT NULL" or "the fade goes to black".

Hits of one detector in one file are grouped: triage the group once, then check the listed lines for exceptions.

When the scanner cannot run

It needs python3 and git. Without them, read scripts/scan.py: the DETECTORS list gives each pattern, its message and its trap. Run those patterns with the Grep tool over the changed files and triage the same way.

Bundled files

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

scripts/scan.py28 KB

Frequently asked questions

What does the Footgun Scan AI skill do?

Scan a Kotlin or Compose Multiplatform diff for known footgun shapes and open the matching trap to confirm each hit. Use before committing, when reviewing a Kotlin change, or to audit a codebase.

Why use Footgun Scan on TypingMind?

Because you install it once and use it with any model. Footgun Scan 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 Footgun Scan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/maxrave-dev/kotlin-footguns/tree/main/skills/footgun-scan. 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 Footgun Scan?

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 Footgun Scan?

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

Is the Footgun Scan AI skill free?

Yes. It is published on GitHub by maxrave-dev under the GPL-3.0 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

Footgun scan

Run it

Triage every hit

When the scanner cannot run

Bundled files

Frequently asked questions

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