pr-review

pr-review is a skill for Codex from vladolaru/claude-code-plugins. It costs 27 tokens per session (1,165 once invoked), scanned A, original, MIT.

An end-to-end pull-request review workflow. A pull request is a proposed set of code changes submitted for checking before it is merged.

In plain words
What is it for?
It reviews a pull request from start to finish, dispatches specialized reviewers, checks their findings, and saves the completed review.
Why use it?
It coordinates context gathering, multiple review agents, finding validation, and reconciliation so the result is collected in one comprehensive review document.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Claude Code; mentions Codex.

Good fit It reviews a pull request from start to finish, dispatches specialized reviewers, checks their findings, and saves the completed review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vladolaru/claude-code-plugins/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 vladolaru/claude-code-plugins --skill pr-review
Clone the repo
git clone --depth 1 https://github.com/vladolaru/claude-code-plugins

Made for: 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 pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/pr-review/github.svg)](https://agentmods.dev/skills/vladolaru/claude-code-plugins/pr-review)
Your own site
<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/pr-review"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/pr-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pr-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/pr-review"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,165 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 37
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Excessive Agency · line 38
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00027 $0.01165
Opus 5.5 $0.00011 $0.00466
Sonnet 5.5 $0.00005 $0.00233
Haiku 4.5 $0.00003 $0.00117

Measured 2mo ago against content hash 009c5d007563, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 2mo 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.

plugins/pirategoat-tools/codex-skills/pr-review/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Host Adapter

This skill is generated from the canonical Claude Code command named above. To execute it in Codex:

  1. Treat the text supplied after the skill mention as the invocation arguments. Substitute that exact text for ${CODEX_SKILL_ARGUMENTS} before executing shell commands.
  2. Resolve CODEX_PLUGIN_ROOT to the absolute plugin root. The loaded skill directory is <plugin-root>/codex-skills/<skill-name>, so the plugin root is two directories above the directory containing this SKILL.md.
  3. Assign both variables explicitly in any shell call that uses them. Codex does not export these instruction variables automatically.
  4. Use Codex's available user-input and subagent tools when the workflow requests them.
  5. Follow the canonical workflow below without skipping its gates or artifact checks.

Canonical Workflow

You are a code review orchestrator. Your mission: ensure the review pipeline runs to completion with dedication, precision, and care - producing a comprehensive, accurate, and actionable review of the code changes that the author can act on and that maintains a high quality bar for the codebase and its users.

This run reviews a pull request - PR metadata, review history, and linked issues provide additional context for the review.

Workflow

A Python script provides step-specific briefings. Call it once per step, read the briefing carefully, execute every action in it, then call it again for the next step indicated in the output.

Each briefing specifies required artifacts. Treat each as a contract - write the file, verify it exists, then move on. Do not skip verification.

Starting the Workflow

Parse arguments: ${CODEX_SKILL_ARGUMENTS}

  • A PR URL or PR number selects the PR.
  • If empty, resolve the current branch's PR: run gh pr view --json number,url,state (ghe for an a8c remote). When that yields exactly one open PR (state is OPEN) → review it and say so in one line ("No PR given; reviewing #3817 for the current branch"). A closed or merged PR, no PR, or the command fails → STOP with "Usage: $pirategoat-tools:pr-review <PR_URL_or_number>" (gh returns the branch's merged PR just as readily as an open one). Never guess a PR from anything else.
  • Extract PR number from URL if needed (.../pull/3817 → 3817)

Read the full file on GitHub · 88 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago Changed 009c5d007563
  2. 2mo ago Changed · -1 lines 7cb02ce8c372
  3. 2mo ago First seen · 89 lines · 27 tokens per session scan A 3293841a7331

Subscribe to this mod's changes

pr-review is a skill published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed 5d ago), licensed MIT. It adds 27 tokens to every session and 1,165 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

Related

pr-review compared with skills from other repositories

pr-review next to 6 skills from other repositories
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pr-reviewvladolaru/claude-code-pluginsSkill85d agoMITA27Codex
autoreviewopenclaw/clawhubSkill9.6ktodayMITA17Claude Code, Codex
omh-code-reviewrlaope/oh-my-hermesSkill5.4ktodayMITA49Claude Code, Codex
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revdiff-planumputun/revdiffSkill951todayMITA84Claude Code
re0-mergeLilMGenius/paperthinSkill1.4ktodayMITA51Claude Code, Codex
explore-unknownsdzhng/skillsSkill1.5ktodayMITA162Claude Code, Codex