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Code Change Safety Checkpoint

Community
TheGoat395
code-change-safety-checkpoint

Preserve rollback before materially risky edits.

Overview

PublisherTheGoat395
RepositoryCodex-Skills
Skill namecode-change-safety-checkpoint
Stars
136
Forks
48
Bundled files
1
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.

  • 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 TheGoat395 on GitHub. Read the source before you install it.

Installation

Install the Code Change Safety Checkpoint 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/TheGoat395/Codex-Skills/tree/main/skills/code-change-safety-checkpoint
  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/TheGoat395/Codex-Skills.git /tmp/Codex-Skills
mkdir -p .claude/skills
cp -r /tmp/Codex-Skills/skills/code-change-safety-checkpoint .claude/skills/code-change-safety-checkpoint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Change Safety Checkpoint 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 Code Change Safety Checkpoint 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 Code Change Safety Checkpoint 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.

Code Change Safety Checkpoint

Use this skill before risky edits. The goal is simple: make sure there is a credible way back before changing files.

Trigger

Use when:

  • the user asks for website, app, repo, or code changes with nontrivial blast radius
  • files may be deleted, moved, regenerated, overwritten, or mass-edited
  • the repo has uncommitted changes
  • the work touches shared behavior, routing, deployment config, generated assets, or build tooling
  • the user specifically asks for backup, checkpoint, rollback protection, or protection from accidental destructive changes

Do not run heavy backup steps for tiny read-only analysis or single-line edits unless the user asks.

Workflow

  1. Inspect state before editing.

    • Run git status --short --branch when inside a git repo.
    • Identify changed files that already exist before your work.
    • Treat uncommitted user changes as protected.
  2. Choose the rollback path.

    • Follow the current repository/worktree branch policy. Record a recoverable base commit for tracked data; a branch label alone does not preserve uncommitted or untracked files.
    • If the repo has user changes, preserve the affected hunks and untracked targets with an appropriate patch, snapshot or scoped backup when the edit could destroy them. Avoid redundant copies of already protected targets.
    • If there is no git repo or the work involves generated assets, make a timestamped local backup of the files or folders you will touch.
  3. Explain planned edits before changing files.

    • List the main files or directories you expect to edit.
    • Call out any deletion, move, or overwrite.
    • A clear task instruction authorizes routine in-scope edits regardless of its verbs. Ask only for a materially ambiguous destructive target or another genuinely missing authorization.
  4. Edit narrowly.

    • Avoid unrelated refactors.
    • Do not revert user changes unless explicitly requested.
    • Prefer additive changes when the risk is unclear.
  5. Report the restore path.

    • Branch name, backup path, or commit/checkpoint strategy.
    • Commands or steps needed to undo your work.

Restore Guidance

For git-backed work, useful restore options include:

bash
git status --short
git diff
git restore path/to/file
git switch main

Use destructive restore commands only when explicitly requested. Never run git reset --hard as a casual cleanup step.

For local backups, explain the backup folder and which files can be copied back.

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 Code Change Safety Checkpoint AI skill do?

Preserve rollback before materially risky edits.

Why use Code Change Safety Checkpoint on TypingMind?

Because you install it once and use it with any model. Code Change Safety Checkpoint 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 Code Change Safety Checkpoint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheGoat395/Codex-Skills/tree/main/skills/code-change-safety-checkpoint. 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 Code Change Safety Checkpoint?

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 Code Change Safety Checkpoint?

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

Is the Code Change Safety Checkpoint AI skill free?

Yes. It is published on GitHub by TheGoat395 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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