Atlas / Skills / sangrokjung / Frontend Code Review

Frontend Code ReviewSAFE

skills/sangrokjung/frontend-code-review

oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
855
01

Overview

oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.

Read from source at commit 31c3d29836edOBSERVED · 2026-10-12
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: frontend-code-review
description: "Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules."
---

# Frontend Code Review

## Intent
Use this skill whenever the user asks to review frontend code (especially `.tsx`, `.ts`, or `.js` files). Support two review modes:

1. **Pending-change review** – inspect staged/working-tree files slated for commit and flag checklist violations before submission.
2. **File-targeted review** – review the specific file(s) the user names and report the relevant checklist findings.

Stick to the checklist below for every applicable file and mode.

## Checklist
See [references/code-quality.md](references/code-quality.md), [references/performance.md](references/performance.md), [references/business-logic.md](references/business-logic.md) for the living checklist split by category—treat it as the canonical set of rules to follow.

Flag each rule violation with urgency metadata so future reviewers can prioritize fixes.

## Review Process
1. Open the relevant component/module. Gather lines that relate to class names, React Flow hooks, prop memoization, and styling.
2. For each rule in the review point, note where the code deviates and capture a representative snippet.
3. Compose the review section per the template below. Group violations first by **Urgent** flag, then by category order (Code Quality, Performance, Business Logic).

## Required output
When invoked, the response must exactly follow one of the two templates:

### Template A (any findings)
```
# Code review
Found <N> urgent issues need to be fixed:

## 1 <brief description of bug>
FilePath: <path> line <line>
<relevant code snippet or pointer>


### Suggested fix
<brief description of suggested fix>

---
... (repeat for each urgent issue) ...

Found <M> suggestions for improvement:

## 1 <brief description of suggestion>
FilePath: <path> line <line>
<relevant code snippet or pointer>


### Suggested fix
<brief description of suggested fix>

---

... (repeat for each suggestion) ...
```

If there are no urgent issues, omit that section. If there are no suggestions, omit that section.

If the issue number is more than 10, summarize as "10+ urgent issues" or "10+ suggestions" and just output the first 10 issues.

Don't compress the blank lines between sections; keep them as-is for readability.

If you use Template A (i.e., there are issues to fix) and at least one issue requires code changes, append a brief follow-up question after the structured output asking whether the user wants you to apply the suggested fix(es). For example: "Would you like me to use the Suggested fix section to address these issues?"

### Template B (no issues)
```
## Code review
No issues found.
```
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-12 · audit v0.4.1 · source sha 31c3d29836edfull audit observations/trust-audit/skill/sangrokjung__frontend-code-review.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-1231c3d29836edSAFEB89first audit
05

Questions

What does the Frontend Code Review skill do?

oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.

Is Frontend Code Review safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Frontend Code Review access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (31c3d29836ed), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.

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