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annatchijovaannatchijova/SKILLS/git-discipline/SKILL.md

git-discipline

Skill9 starsChanged 4 months agoLicence not identifiedView on GitHub

Protect repository history during AI-assisted and agentic coding by tagging a restore point before each session, forbidding history-rewriting operations, and verifying actual repo state before claiming anything about it. Use this whenever an AI agent (Claude Code or similar) is about to make changes to a git repository, whenever you are about to run or recommend git operations that could lose work, and whenever you are about to document or report the state of a repo. Triggers — "start a coding session", "let the agent edit", "rebase", "squash", "force push", "clean up history", "what's the state of the repo", "commit these changes". Push to use this whenever an autonomous tool has write access to a repository, even for a small change.

  • Deletes or force-pushes
  • Commits and pushes

13 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use security-audit.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • CloudflareSkill

    security-audit

    Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests. Run the complete workflow only for explicit codebase audit or pen-test requests, full/comprehensive/end-to-end reviews, or requested report artifacts.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 11 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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