parallel-review

parallel-review is a command for coding agents from ethanolivertroy/my-agent-stuff. It costs 4 tokens per session (685 once invoked), scanned A, original, MIT.

A command that starts several independent review agents to examine the current work and repository. Each reviewer receives a different review focus, such as correctness, tests, or maintainability.

In plain words
What is it for?
Use it after making code changes when you want parallel checks of behavior, validation, edge cases, and code quality.
Why use it?
It provides multiple fresh assessments of the changes and can reveal regressions, weak tests, or unnecessary complexity that one review might miss.

Command

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.

agentmods
npx agentmods add commands/ethanolivertroy/my-agent-stuff/parallel-review
Clone the repo
git clone --depth 1 https://github.com/ethanolivertroy/my-agent-stuff

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-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/ethanolivertroy/my-agent-stuff/parallel-review.svg)](https://agentmods.dev/commands/ethanolivertroy/my-agent-stuff/parallel-review)
Your own site
<a href="https://agentmods.dev/commands/ethanolivertroy/my-agent-stuff/parallel-review"><img src="https://agentmods.dev/badge/commands/ethanolivertroy/my-agent-stuff/parallel-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 4 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 685 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00004 $0.00685
Opus 5 $0.00002 $0.00342
Sonnet 5 $0.00001 $0.00137
Haiku 4.5 $0.00000 $0.00068

Measured 5d ago against content hash f16e680b7378, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

parallel-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 5d 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.

commands/parallel-review.md · 55 lines

What it actually says

Launch parallel reviewers for an adversarial review of the current work.

Use fresh context, not forked context, unless I explicitly ask for forked context. Reviewers should inspect the repository, relevant instructions, and current diff directly from files and commands. Do not rely on the main conversation history.

Give each reviewer a distinct angle. Generate the angles dynamically from the user's intent, the plan, the implemented code, and the current diff. If I specify angles, use mine. Otherwise, choose the highest-value review angles for this specific work.

These are examples, not fixed defaults:

  1. Correctness and regressions Check whether the change satisfies the request, preserves existing behavior, handles edge cases, and avoids hidden runtime failures.

  2. Tests and validation Check whether tests or validation were added at the right layer, whether assertions are meaningful, and whether the chosen verification commands are enough.

  3. Simplicity and maintainability Check for unnecessary complexity, duplicate structure, single-use wrappers, brittle abstractions, confusing names, verbosity, and cleanup that is clearly worth doing.

Choose or adapt angles when the work calls for it:

  • TypeScript-heavy changes: include type safety, source-of-truth types, casts, and error-boundary discipline.
  • UI-heavy changes: include UX, accessibility, copy, and visual quality.
  • Security-sensitive changes: include unsafe input/output handling, auth boundaries, privacy, and data exposure.
  • Docs-heavy changes: include clarity, accuracy, completeness, reader flow, and non-robotic prose.
  • Large multi-file changes: consider a fourth reviewer for structural friction, module boundaries, and testability.

Prefer three strong reviewers over many vague reviewers.

Give every reviewer a specific task prompt naming its angle. Ask reviewers to return concise, evidence-backed findings with file/line references and suggested fixes. The response should be review feedback, not a context summary. Reviewers must not edit files unless I explicitly ask for a writer pass.

While reviewers run, do your own narrow inspection if useful. After they return, synthesize the feedback into:

  • fixes worth doing now
  • optional improvements
  • feedback to ignore or defer, with a short reason

Do not blindly apply every reviewer suggestion.

Autofix mode: if the invocation contains the exact word autofix, treat it as workflow control, not review scope. Remove it before deciding the review target. After synthesis, apply only fixes worth doing now, validate, and summarize. Do not apply optional improvements unless explicitly requested. If there are no fixes worth doing now, do not edit.

Without autofix mode, ask before applying fixes unless I already told you to address review feedback. When you ask, end with a compact numbered menu so I can respond with a number. Use wording suited to the findings, but include these choices when applicable:

Reply with [1], [2], or further instructions:
[1] Apply only the fixes worth doing now.
[2] Apply the fixes worth doing now plus optional improvements.

Additional review target or focus from the slash command invocation:

$@

If the invocation provides a URL, issue link, file path, plan path, or freeform focus, treat it as the primary review scope. Read or fetch that target before assigning reviewer angles, and pass the target explicitly into each reviewer task.

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. 5d ago First seen · 55 lines · 4 tokens per session scan A f16e680b7378

Subscribe to this mod's changes

parallel-review is a command published in the GitHub repository ethanolivertroy/my-agent-stuff (11 stars, last pushed 1mo ago), licensed MIT. It adds 4 tokens to every session and 685 once invoked, about $0.0000 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.