panel-review

panel-review is a skill for Claude Code, Codex from mollyretter/forward-deployed-engineer-toolkit. It costs 116 tokens per session (7,397 once invoked), scanned A, original, MIT.

A multi-agent review of a pull request or the current branch's changes. It asks three models to check bugs, security, regressions, code conventions, naming, dead code, and comments.

In plain words
What is it for?
Use it before or during a pull request review to produce findings, a structured review comment, and a durable audit log.
Why use it?
It combines several review perspectives and records the findings before a developer decides whether a review should be posted.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions Claude Code.

Good fit Use it before or during a pull request review to produce findings, a structured review comment, and a durable audit log.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mollyretter/forward-deployed-engineer-toolkit/panel-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 mollyretter/forward-deployed-engineer-toolkit --skill panel-review
Clone the repo
git clone --depth 1 https://github.com/mollyretter/forward-deployed-engineer-toolkit

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 panel-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/mollyretter/forward-deployed-engineer-toolkit/panel-review.svg)](https://agentmods.dev/skills/mollyretter/forward-deployed-engineer-toolkit/panel-review)
Your own site
<a href="https://agentmods.dev/skills/mollyretter/forward-deployed-engineer-toolkit/panel-review"><img src="https://agentmods.dev/badge/skills/mollyretter/forward-deployed-engineer-toolkit/panel-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,397 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 $0.00116 $0.07397
Opus 5 $0.00058 $0.03698
Sonnet 5 $0.00023 $0.01479
Haiku 4.5 $0.00012 $0.00740

Measured 8d ago against content hash 79bcd414f083, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

panel-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 8d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (evals/precision.eval.ts, schema.test.ts, schema.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/panel-review/SKILL.md · 384 lines

How it starts

The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/panel-review — multi-agent code review with a dev approval gate

When to use

Open a PR. Run /panel-review <PR-number> from inside the consumer repo to fan three model agents over the diff and produce a structured, dev-approved review comment plus a durable audit-trail build log.

No-arg invocation (/panel-review) reviews the current branch's diff vs main. Useful when you want a panel pass before opening a PR.

Skip for: trivial doc-only PRs (overhead exceeds value), out-of-band reviews where you just want a quick scan rather than a posted review.

What it produces

Two artifacts:

  1. <consumer-repo>/docs/build-logs/panel-review-pr-{N}.md — durable build log. PR metadata, all three agents' raw findings, the Sonnet confidence recheck adjustments, the polished comment, the dev decision, and a Retro section. Committed to the PR's head branch so it merges with the PR. If a review is rerun on the same PR, append -{ISO-date} to the filename rather than overwriting (e.g. panel-review-pr-5-2026-05-10.md).

  2. A posted PR review comment via gh pr review, gated on explicit dev approval. One of two shapes only: an approve-with-summary (no blockers) or a request-changes-with-blockers. Questions and nits stay in the build log; they are not posted publicly by default.

Hard rules

  1. Worktree on entry. The skill creates an isolated worktree on a new branch off the PR's head, then runs gh pr checkout {N} inside it. Build log accumulates inside the worktree during the run and is committed to that branch before exit.

  2. 3-agent fan-out, parallel. Spawn Opus, Sonnet, Haiku in parallel via the Task / Agent tool. Wait for all three before synthesizing.

  3. Different prompts for the cheap model. Opus and Sonnet share a prompt focused on regression risk, security issues, and bugs. Haiku gets a different prompt focused on convention drift, naming, dead code, comment quality, and "does the diff match the PR description." This split keeps Opus and Sonnet's context free of style nits and gives Haiku a scope it handles well.

Read the full file on GitHub · 384 lines

Files

What ships with it

7 files 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. 8d ago First seen · 384 lines · 116 tokens per session scan A 79bcd414f083

Subscribe to this mod's changes

panel-review is a skill published in the GitHub repository mollyretter/forward-deployed-engineer-toolkit (9 stars, last pushed 16d ago), licensed MIT. It adds 116 tokens to every session and 7,397 once invoked, about $0.0006 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 2026-08-31.

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