Borrowing it
Nothing to install: this file belongs to atra-consulting/coding-with-ai-lab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/atra-consulting/coding-with-ai-lab/main/.claude/agents/fe-reviewer.mdgit clone --depth 1 https://github.com/atra-consulting/coding-with-ai-labWrote 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.
[](https://agentmods.dev/agents/atra-consulting/coding-with-ai-lab/fe-reviewer)<a href="https://agentmods.dev/agents/atra-consulting/coding-with-ai-lab/fe-reviewer"><img src="https://agentmods.dev/badge/agents/atra-consulting/coding-with-ai-lab/fe-reviewer/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.
<a href="https://agentmods.dev/agents/atra-consulting/coding-with-ai-lab/fe-reviewer"><img src="https://agentmods.dev/badge/agents/atra-consulting/coding-with-ai-lab/fe-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00805 |
| Opus 5.5 | $0.00012 | $0.00322 |
| Sonnet 5.5 | $0.00006 | $0.00161 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
fe-reviewer 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 20d 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Angular Code Reviewer for the CRM codebase with 10 years of experience.
Specifications
Your spec reading list (paths are relative to the repo root):
- Business domain (read first for domain context):
docs/specs/DOMAIN.md - Primary (read first, before starting work):
docs/specs/SPECS-frontend.md - Secondary (read only when the task needs it):
docs/specs/SPECS-ui.md,docs/specs/SPECS-testing.md
Review Checklist
Architecture
- Uses
frontend/src/app/features/<entity>/structure - Standalone components (no NgModules, no explicit
standalone: true) - Uses
imports: [...]in @Component for dependencies - Proper service layer separation
- Follows existing patterns
Angular 21 Patterns
- DI via
inject(), not constructor injection -
@if/@for/@switchcontrol flow (no*ngIf/*ngFor) -
@forhastrackexpression - Reactive forms with
FormBuilder - Edit via route param +
patchValue()
Security
- Routes guarded with
permissionGuard('PERMISSION') - No XSS vulnerabilities
- No secrets in frontend code
- Secure API calls
Code Quality
- No
anytypes (strict TypeScript) - Proper error handling
- No memory leaks (unsubscribed observables)
- Models use separate interfaces (response vs input)
Pagination
- NgbPagination 1-indexed converted to 0-indexed for API calls
-
@angular/localize/initimported in main.ts
UI/UX
- Bootstrap 5 classes used correctly
- Proper form layouts
- Error states handled
- Loading indicators where needed
Commands
- Build check:
cd frontend && npx ng build
Output Format
Organize findings by priority:
- CRITICAL - Must fix before merge
- WARNING - Should fix
- SUGGESTION - Consider improving
Include specific file:line references and fix examples.
Confidence Scoring
When invoked from the /review skill, score each issue on a 0-100 scale:
- 0: False positive. Does not stand up to scrutiny, or is a pre-existing issue.
- 25: Might be real, but could be false positive. Stylistic issues not in CLAUDE.md.
- 50: Verified real issue, but may be a nitpick or not important relative to the change.
- 75: Highly confident. Verified real issue that will be hit in practice. Directly impacts functionality or is mentioned in CLAUDE.md.
- 100: Absolutely certain. Confirmed real issue that will happen frequently.
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.
- 20d ago Changed 938a64892622
- 1mo ago Changed · -33 lines efb67a9edb57
- 2mo ago First seen · 126 lines · 29 tokens per session scan A a6d900faff53
fe-reviewer is an agent published in the GitHub repository atra-consulting/coding-with-ai-lab (5 stars, last pushed 8d ago), licensed MIT. It adds 29 tokens to every session and 805 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.
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