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07 diff review

Skill FluxonLab/Skillry/plugins/core-operations/skills/07-diff-review

Installable, permission-bounded, multi-platform agent skills & subagents for Claude Code, Codex, Copilot & Gemini/Antigravity — 125 skills + 73 subagents across 18 departments, with a validation harness, native plugin marketplace, and full upstream attribution. by FluxonLab.

Install
npx -y skills add FluxonLab/Skillry --skill 07-diff-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when reviewing a code change before committing — e.g. the user says "review my diff", "karpathy check", "am I overcomplicating this", "check complexity before I commit", or when finalizing AI-generated code. Audits the staged diff against four principles (surface assumptions, keep it simple, surgical changes, verifiable goal) and returns a keep-or-fix verdict.

SKILL.md

4.8 KB, as published. Nobody here has run it

Diff Review (four-principle pre-commit check)

Purpose

Catch the failure modes that make AI-assisted changes risky before they land: unstated wrong assumptions, needless complexity, sprawling diffs, and "looks done" changes that were never verified. This skill reviews a concrete diff against four habits and returns a short, actionable verdict — not a style lecture.

The four principles below distill widely shared guidance on coding with LLMs popularized by Andrej Karpathy (https://karpathy.ai); the four-point framing is a common community distillation, not a verbatim quote.

When to use

  • Before committing, especially for AI-generated or AI-assisted changes.
  • When the user says "review my diff", "karpathy check", "check complexity", "am I overcomplicating this", or "is this change too big".
  • As a final gate after implementing a feature/fix, before opening a PR.

When not to use

  • For deep security review (use a dedicated security/secrets review skill).
  • For architecture-level decisions across many files (use architecture-review).
  • When there is no diff yet — this reviews concrete changes, not ideas.

Procedure

  1. Get the change. Inspect the actual diff, not the description:
    • Staged: git diff --staged
    • Working tree: git diff
    • Last commit: git show HEAD Note the number of files, hunks, and net lines changed.
  2. Principle 1 — Surface assumptions. List the inputs, invariants, and edge cases the change assumes (nullability, types, ordering, auth state, empty/large inputs, concurrency). For each, confirm it actually holds in the touched code paths. Flag any unstated assumption that isn't guaranteed.
  3. Principle 2 — Keep it simple. Look for complexity the change introduces on its own: new abstractions/indirection for a single caller, premature generalization, dead branches, clever one-liners, duplicated logic. Prefer the smallest solution that works; note what could be deleted.
  4. Principle 3 — Surgical changes. Check that every hunk is required by the task. Flag drive-by reformatting, unrelated renames, churned imports, and files that didn't need to change. Wide blast radius = harder review and higher regression risk.
  5. Principle 4 — Verifiable goal. Identify how this change is proven to work: a test, a command, an observable output. If there's no verification (or no new/updated test for new behavior), that is the top finding.
  6. Verdict. Summarize as keep (ship as-is), keep with nits (minor, non-blocking), or fix first (blocking issues). List blocking items with the exact file:line and a concrete fix.

Concrete checks

  • git diff --staged --stat — files and net lines; a "one-line fix" touching 12 files is a red flag.
  • New behavior has a matching new/changed test? (search the diff for test files)
  • Any TODO, FIXME, debug print/console.log, commented-out code, or leftover scaffolding in the diff?
  • Any new dependency added for a trivial need that the stdlib/existing utils already cover?
  • Does the diff reformat lines it didn't functionally change? (whitespace-only hunks)
  • Are assumptions about external input validated, or just trusted?

Commands

git diff --staged --stat        # blast radius at a glance
git diff --staged               # the actual change to review
git show HEAD                   # review the last commit instead
git diff --staged -- '*.test.*' '*_test.*' '*spec*'   # did tests change with the code?

Common issues & anti-patterns

  • "It looks right" ≠ verified. No test, no run, no proof → treat as unverified.
  • Refactor smuggled into a feature. Keep behavior-preserving refactors in a separate commit.
  • Over-abstraction for one caller. YAGNI — inline it until a second caller exists.
  • Silent assumption. "It'll always be non-null/sorted/small" without a guard or test.
  • Scope creep. The diff fixes three things the task didn't ask for; split them.

Required output

A short report:

  • Blast radius: files / hunks / net lines.
  • Per principle: ✓ or the specific finding (with file:line).
  • Verdict: keep / keep with nits / fix first.
  • Blocking fixes (if any): numbered, each with an exact, minimal fix.

Safety

Read-only review — never amend, commit, reset, or rewrite history as part of this skill. Suggest fixes; let the author apply them. Do not run formatters or git add/git commit automatically.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.