parallel-pr-review

parallel-pr-review is a skill for Claude Code, Codex from suyoumo/ClawProBench. It costs 67 tokens per session (2,345 once invoked), scanned A, original, Apache-2.0.

A process for reviewing several open GitHub pull requests at once. Pull requests are proposed code changes; the process reviews each one separately and then combines the findings, including relationships between stacked or conflicting changes.

In plain words
What is it for?
Use it to review all open pull requests, inspect stacked branches and conflicts, identify security or integration problems, and post review outcomes.
Why use it?
It reduces the effort of checking a large batch of changes and helps catch issues that appear only when multiple pull requests interact. It produces consistent decisions across the batch.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to review all open pull requests, inspect stacked branches and conflicts, identify security or integration problems, and post review outcomes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/suyoumo/clawprobench/parallel-pr-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add suyoumo/ClawProBench --skill parallel-pr-review
Clone the repo
git clone --depth 1 https://github.com/suyoumo/ClawProBench

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for parallel-pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/suyoumo/clawprobench/parallel-pr-review.svg)](https://agentmods.dev/skills/suyoumo/clawprobench/parallel-pr-review)
Your own site
<a href="https://agentmods.dev/skills/suyoumo/clawprobench/parallel-pr-review"><img src="https://agentmods.dev/badge/skills/suyoumo/clawprobench/parallel-pr-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,345 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.02345
Opus 5 $0.00034 $0.01172
Sonnet 5 $0.00013 $0.00469
Haiku 4.5 $0.00007 $0.00234

Measured 7d ago against content hash bad1b8f5b089, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

parallel-pr-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ironclaw/skills/parallel-pr-review/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel PR Review

Overview

Review many open PRs at once by fanning out one read-only review subagent per PR (or per stack), each producing a structured verdict, then synthesizing a cross-PR summary and posting reviews. The reviewer (you) stays in the loop holding conclusions; subagents absorb the per-diff reading.

Core principle: one agent per independent unit of review, a consistent rubric and output format across all of them, then a synthesis pass that finds what no single PR review can see.

When to Use

  • "Review the open PRs" / "anything new to review?" / recurring review loops
  • A batch of PRs from one author, or a stacked series (PR based on another PR's branch)
  • Any time reading every diff yourself would blow context

When NOT to use: a single PR (just review it directly); a PR you authored mid-task (use normal self-review).

Workflow

  1. Enumerate + triage. List PRs with the metadata that drives decisions:

    gh pr list --state open --limit 100 --json number,title,author,additions,deletions,baseRefName,mergeable \
      --jq 'sort_by(.number) | reverse[] | "#\(.number) @\(.author.login) +\(.additions)/-\(.deletions) base:\(.baseRefName) \(.mergeable)  \(.title)"'
    
    • base != mainstacked PR (review with its stack, note merge order).
    • CONFLICTING ⇒ flag; have the agent diagnose cause + resolution. Re-check: some "conflicting" clears after an upstream rebase.
    • Compare against PRs already reviewed in prior passes — only review what's new (and re-check any that grew).
  2. Group. One agent per PR for standalone changes; one agent per stack (review each stacked PR's own gh pr diff, in dependency order). Give security-sensitive PRs (contracts, crypto/keys, auth/attestation, money/billing, DoS bounds) their own dedicated agent with an adversarial prompt. For large or structural PRs (big refactors, new modules, files crossing ~1k lines), add a dedicated maintainability-lens agent (see Maintainability lens below).

Read the full file on GitHub · 152 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 152 lines · 67 tokens per session scan A bad1b8f5b089

Subscribe to this mod's changes

parallel-pr-review is a skill published in the GitHub repository suyoumo/ClawProBench (823 stars, last pushed 13d ago), licensed Apache-2.0. It adds 67 tokens to every session and 2,345 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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