Agent skill

Review Sweep

by rlaope in rlaope/oh-my-hermes

Review oh-my-hermes pull requests that have not been reviewed at their current head commit.

MITAuto-check: notesDevelopment

Install Review Sweep

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill review-sweep -a claude-code

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

GitHub CLI
$ gh skill install rlaope/oh-my-hermes 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/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/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
3.2k
Token cost
~389 tokens
SKILL.md length
181 words
Files
1
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

Review oh-my-hermes pull requests that have not been reviewed at their current head commit.

  • Tasks that involve Technical documentation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Pull requests

What it does

Review Sweep is an agent skill from rlaope/oh-my-hermes. Review oh-my-hermes pull requests that have not been reviewed at their current head commit. Run manually to sweep the open backlog, or pass a number to review one PR. Applies the repository's REVIEW.md policy and posts findings as a GitHub review with inline comments.

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Technical documentation and Pull requests. It works with GitHub. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.

When your agent uses it

  • Tasks that involve Technical documentation
  • Tasks that involve Pull requests

Example prompts

  • “/review-sweep”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Grep, Glob, Edit, Write

What it can do on your machine

Read from SKILL.md and the folder at commit 7cd0d02. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Grep
    • Glob
    • Edit
    • Write

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    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 389 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~389

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Grep, Glob, Edit, Write

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

The full file from rlaope/oh-my-hermes at commit 7cd0d02, republished under its MIT licence (© rlaope). 181 words, ~389 tokens.

Download SKILL.mdSave it as .claude/skills/review-sweep/SKILL.md (or your agent's skills folder).
name
review-sweep
description
Review oh-my-hermes pull requests that have not been reviewed at their current head commit. Run manually to sweep the open backlog, or pass a number to review one PR. Applies the repository's REVIEW.md policy and posts findings as a GitHub review with inline comments.
allowed-tools
Bash, Read, Grep, Glob, Edit, Write

Review sweep

The procedure lives in docs/REVIEW-SWEEP.md. Read that file and follow it.

It is kept there rather than here because Codex, Hermes handoffs, and generic executor profiles run the same sweep, and AGENTS.md requires that no single executor own a shared surface. This file exists so the procedure is reachable as /review-sweep; it deliberately holds no rules of its own, so there is nothing here to drift out of sync with the real one.

Start by reading, in this order:

sh
cat docs/REVIEW-SWEEP.md
cat REVIEW.md

Two things worth knowing before you open the procedure, because they are what the sweep gets wrong most often:

  • Never review from the diff alone. This repo's defects are about consistency with code that is not in the diff, so the procedure checks the PR out into a worktree and runs the gates.
  • The default is a dry run. A review is a public, notifying write to someone else's work; print the findings and stop for confirmation unless the invocation carried --apply.

Arguments pass through verbatim: a bare number reviews one PR, --drafts and --mine widen the sweep, --apply posts.

© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/review-sweep of rlaope/oh-my-hermes.

Open the folder on GitHubat commit 7cd0d02

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 skillrlaope/oh-my-hermes3.2k—~389Automated safety check: NotesMIT
Post Draft Reviewagent-substrate/substrate4.8k—~2.8kAutomated safety check: PassApache-2.0
Review Kedro PRkedro-org/kedro11k—~2.8kAutomated safety check: PassCustom licence
Review PRjavierbrea/eslint-plugin-boundaries997—~2.9kAutomated safety check: PassMIT
Human Writingkylesnowschwartz/SimpleClaude114—~3.6kAutomated safety check: PassNone
Inline PR Commentshyperlane-xyz/hyperlane-explorer102—~1.1kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Review Sweep

What does Review Sweep do?

Review oh-my-hermes pull requests that have not been reviewed at their current head commit. Review Sweep is an agent skill from rlaope/oh-my-hermes. Review oh-my-hermes pull requests that have not been reviewed at their current head commit.

When should I use Review Sweep?

Review Sweep fits situations like: tasks that involve Technical documentation; tasks that involve Pull requests.

How do I install Review Sweep in Claude Code?

Run `npx skills add rlaope/oh-my-hermes --skill review-sweep -a claude-code`. Or copy the skill folder (.claude/skills/review-sweep in rlaope/oh-my-hermes) 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 rlaope/oh-my-hermes --skill review-sweep -a codex`. Or copy the skill folder (.claude/skills/review-sweep in rlaope/oh-my-hermes) 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 rlaope/oh-my-hermes --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. Its frontmatter pre-approves these tools: Bash, Read, Grep, Glob, Edit, Write.

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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Review Sweep use?

Review Sweep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review Sweep use?

About 389 tokens (SKILL.md is roughly 1.6k 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: Post Draft Review (agent-substrate/substrate, 4.8k stars), Review Kedro PR (kedro-org/kedro, 11k stars), Review PR (javierbrea/eslint-plugin-boundaries, 997 stars) and Human Writing (kylesnowschwartz/SimpleClaude, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Sweep?

rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,243 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 10, 2026.

Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.