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Agent skill

Parallel Review

by Porabuild in Porabuild/Poracode

Get independent reviews of the same work from several agents, then reconcile their findings into one verified verdict.

Apache-2.0Auto-check passed

Install Parallel Review

skills CLI
$ npx skills add Porabuild/Poracode --skill parallel-review -a claude-code

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

GitHub CLI
$ gh skill install Porabuild/Poracode parallel-review --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/Porabuild/Poracode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/plugins/subagent-delegation/skills/parallel-review .claude/skills/parallel-review && 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
parallel-review
GitHub stars
114
Token cost
~546 tokens
SKILL.md length
320 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
Apache-2.0

At a glance

Get independent reviews of the same work from several agents, then reconcile their findings into one verified verdict.

  • SKILL.md covers Split by dimension, not by file, Brief them independently, Reconcile what returns and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Parallel Review is an agent skill from Porabuild/Poracode. Get independent reviews of the same work from several agents, then reconcile their findings into one verified verdict.

Its SKILL.md is about 550 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: One window for all your AI coding agents. Run Claude, Codex, OpenCode, Gemini, Antigravity, Cursor, and Copilot side-by-side. Terminal and chat, any layout. The licence is Apache-2.0.

Example prompts

  • “/parallel-review”

What it can do on your machine

Read from SKILL.md and the folder at commit bffd89d. 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

Parallel Review loads about 546 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 320 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~546

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

The full file from Porabuild/Poracode at commit bffd89d, republished under its Apache-2.0 licence (© Porabuild). 320 words, ~546 tokens.

Download SKILL.mdSave it as .claude/skills/parallel-review/SKILL.md (or your agent's skills folder).
name
parallel-review
description
Get independent reviews of the same work from several agents, then reconcile their findings into one verified verdict.

Parallel Review

Several agents reading the same diff for different risks catch more than one agent reading it once. The value comes from independence — separate lanes, separate prompts, no shared conclusions — and from you verifying what comes back.

Split by dimension, not by file

Give each reviewer one lens: correctness and regressions, security and trust boundaries, performance, tests, API or schema compatibility. Overlapping lenses produce three copies of the same easy finding and no coverage of the hard one.

Pick lenses that fit the change. A migration deserves a compatibility reviewer; a parser deserves an input-handling one.

Brief them independently

Every prompt is self-contained: what changed, where to look, which lens is theirs, and what a finding must include — file, line, concrete failure scenario, not a style preference. Do not paste your own conclusions; a reviewer told what you already believe will agree with you.

Keep review lanes read-only. Reviewers report; they do not edit the tree, and their prompt must not authorize writes.

Submit the lanes together in one spawn_agent call so they actually run in parallel, and tag them for review so routing can pick suitable providers.

Reconcile what returns

Wait once at the synchronization point, then treat every finding as a claim to check, not a fact. Open the file and confirm the failure is real and reachable. Confident agents report bugs that the surrounding code already prevents.

Two reviewers agreeing is not evidence — they may share a blind spot or a wrong assumption. Two disagreeing is useful: work out which one read the code correctly.

Drop what does not survive verification. A review that forwards every claim wastes the user's time more than no review.

Output

One ranked list of verified findings, most severe first, each with the file, the failure it causes, and the evidence you checked yourself. Say which dimensions were covered and which reviewer came back empty — an empty lane is a result.

© Porabuild, Apache-2.0. 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 resources/plugins/subagent-delegation/skills/parallel-review of Porabuild/Poracode.

Open the folder on GitHubat commit bffd89d

Compare with similar skills

Parallel Review 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.

Parallel Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Parallel Review this skillPorabuild/Poracode114—~546Automated safety check: PassApache-2.0
Parallels Discord Roundtripopenclaw/openclaw392k—~788Automated safety check: PassMIT
Openclaw Parallels Smokeopenclaw/openclaw392k—~8.4kAutomated safety check: NotesMIT
Parallel Execution Optimizeraffaan-m/ECC275k1 repos~712Automated safety check: PassMIT
Parallel AutomationComposioHQ/awesome-claude-skills77k3 repos~734Automated safety check: PassNone
Parallel WebK-Dense-AI/scientific-agent-skills48k1 repos~2.2kAutomated safety check: NotesMIT

Similar skills

  • Parallels Discord Roundtrip

    openclaw/openclaw

    Run macOS Parallels smoke with Discord send, host verification, host reply, and guest readback proof.

    392k GitHub stars~788 tokensUpdated today
    Auto-check passed

  • Openclaw Parallels Smoke

    openclaw/openclaw

    Prepare, snapshot, run, rerun, debug, or interpret OpenClaw Parallels guest install, onboarding, gateway smoke, and upgrade checks across macOS, Windows, and Linux.

    392k GitHub stars~8.4k tokensUpdated today
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  • Parallel Execution Optimizer

    affaan-m/ECC

    Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final…

    275k GitHub starsUsed in 1 repo~712 tokens
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  • Parallel Automation

    ComposioHQ/awesome-claude-skills

    Automate Parallel tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.

    77k GitHub starsUsed in 3 repos~734 tokens
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  • Parallel Web

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    Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring.

    48k GitHub starsUsed in 1 repo~2.2k tokens
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  • Parallel Debugging

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    40k GitHub starsUsed in 1 repo~1.2k tokens
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  • App Controls

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  • Chrome Control

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    Use the user's real Chrome tabs and signed-in sessions for visible browser workflows.

    114 GitHub stars~691 tokensUpdated today
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  • Computer Use

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    Inspect and operate native Windows, macOS, or Linux applications through Poracode's desktop-control tools.

    114 GitHub stars~718 tokensUpdated today
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Questions about Parallel Review

What does Parallel Review do?

Get independent reviews of the same work from several agents, then reconcile their findings into one verified verdict. Parallel Review is an agent skill from Porabuild/Poracode. Get independent reviews of the same work from several agents, then reconcile their findings into one verified verdict.

How do I install Parallel Review in Claude Code?

Run `npx skills add Porabuild/Poracode --skill parallel-review -a claude-code`. Or copy the skill folder (resources/plugins/subagent-delegation/skills/parallel-review in Porabuild/Poracode) into .claude/skills/parallel-review in your project. Claude Code loads it when a task matches its description.

How do I install Parallel Review in Codex?

Run `npx skills add Porabuild/Poracode --skill parallel-review -a codex`. Or copy the skill folder (resources/plugins/subagent-delegation/skills/parallel-review in Porabuild/Poracode) into .agents/skills/parallel-review in your project. Codex loads it when a task matches its description.

Can I use Parallel Review 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 Porabuild/Poracode --skill parallel-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parallel-review, .gemini/skills/parallel-review, .github/skills/parallel-review and .opencode/skills/parallel-review in your project.

What does Parallel Review need to run?

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

Does Parallel Review 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 Parallel Review 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 Parallel Review use?

Parallel Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Parallel Review use?

About 546 tokens (SKILL.md is roughly 2.2k 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 Parallel Review?

Skills that share tags, products or a category with Parallel Review: Parallels Discord Roundtrip (openclaw/openclaw, 392k stars), Openclaw Parallels Smoke (openclaw/openclaw, 392k stars), Parallel Execution Optimizer (affaan-m/ECC, 275k stars) and Parallel Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parallel Review?

Porabuild (a GitHub organization) maintains it in Porabuild/Poracode, which has 114 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 8, 2026.

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