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Agent skill

Review Sweep

by udecode in udecode/plate

Mine review comments for broader diff-wide fixes instead of handling each line in isolation

Custom licenceAuto-check passed

Install Review Sweep

skills CLI
$ npx skills add udecode/plate --skill review-sweep -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install udecode/plate review-sweep --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/udecode/plate.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/review-sweep .claude/skills/review-sweep && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
review-sweep
GitHub stars
17k
Token cost
~711 tokens
SKILL.md length
383 words
Files
1
Skills in repo
78
Repo updated
First seen
Licence
Custom licence

At a glance

Mine review comments for broader diff-wide fixes instead of handling each line in isolation

  • Works in 8 steps: Read the review comment and classify it → Write down the inferred rule in one… → Search the rest of the current diff for… → …
  • SKILL.md covers Goal, Core Rules, Good Sweep Targets and Bad Sweep Targets, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Sweep is an agent skill from udecode/plate. Mine review comments for broader diff-wide fixes instead of handling each line in isolation

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Rich-text editor with AI and shadcn/ui.

Example prompts

  • “/review-sweep”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Read the review comment and classify it
  2. Write down the inferred rule in one sentence.
  3. Search the rest of the current diff for the same pattern.
  4. Split findings into
  5. Apply only the clear set automatically.
  6. For the maybe set, make one explicit decision with reasoning.
  7. Verify the changed seam directly.
  8. In your handoff, separate

What it can do on your machine

Read from SKILL.md and the folder at commit 6f3815d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review Sweep loads about 711 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 383 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~711

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 383 words (~711 tokens).

“Use this when handling PR review feedback and you want to reduce repeated follow-up review on the same branch.”

— opening of SKILL.md by udecode, Custom licence
name
review-sweep

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/review-sweep of udecode/plate.

Open the folder on GitHubat commit 6f3815d

Compare with similar skills

Review Sweep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review Sweep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Sweep this skilludecode/plate17k—~711Automated safety check: PassCustom licence
Diffsopenclaw/openclaw392k4 repos~461Automated safety check: PassMIT
Comment MiningScrapeCreators/social-media-research-skills3.3k—~1kAutomated safety check: NotesMIT
Fix PR Commentspydantic/monty8.6k—~552Automated safety check: PassMIT
Logic Fix Allsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Fixalirezarezvani/claude-skills28k1 repos~765Automated safety check: PassMIT

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Questions about Review Sweep

What does Review Sweep do?

Mine review comments for broader diff-wide fixes instead of handling each line in isolation. Review Sweep is an agent skill from udecode/plate.

How do I install Review Sweep in Claude Code?

Run `npx skills add udecode/plate --skill review-sweep -a claude-code`. Or copy the skill folder (.agents/skills/review-sweep in udecode/plate) into .claude/skills/review-sweep in your project. Claude Code loads it when a task matches its description.

How do I install Review Sweep in Codex?

Run `npx skills add udecode/plate --skill review-sweep -a codex`. Or copy the skill folder (.agents/skills/review-sweep in udecode/plate) into .agents/skills/review-sweep in your project. Codex loads it when a task matches its description.

Can I use Review Sweep in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add udecode/plate --skill review-sweep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-sweep, .gemini/skills/review-sweep, .github/skills/review-sweep and .opencode/skills/review-sweep in your project.

What does Review Sweep need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Sweep is instructions for the agent only.

Does Review Sweep access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review Sweep safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review Sweep use?

Review Sweep has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Review Sweep use?

About 711 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Review Sweep?

Skills that share tags, products or a category with Review Sweep: Diffs (openclaw/openclaw, 392k stars), Comment Mining (ScrapeCreators/social-media-research-skills, 3.3k stars), Fix PR Comments (pydantic/monty, 8.6k stars) and Logic Fix All (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Sweep?

udecode (a GitHub organization) maintains it in udecode/plate, which has 16,642 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 8, 2026.

Source: udecode/plate on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.