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.
npx skills add peterblazejewicz/claude-plugins --skill code-review-and-qualitygit clone --depth 1 https://github.com/peterblazejewicz/claude-pluginsWrote 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/skills/peterblazejewicz/claude-plugins/code-review-and-quality)<a href="https://agentmods.dev/skills/peterblazejewicz/claude-plugins/code-review-and-quality"><img src="https://agentmods.dev/badge/skills/peterblazejewicz/claude-plugins/code-review-and-quality/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/skills/peterblazejewicz/claude-plugins/code-review-and-quality"><img src="https://agentmods.dev/badge/skills/peterblazejewicz/claude-plugins/code-review-and-quality.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 | $0.00068 | $0.04682 |
| Opus 5 | $0.00034 | $0.02341 |
| Sonnet 5 | $0.00014 | $0.00936 |
| Haiku 4.5 | $0.00007 | $0.00468 |
Grade A, and why
code-review-and-quality 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 9d 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 — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review and Quality
Overview
Multi-dimensional code review with quality gates. Every change gets reviewed before merge — no exceptions. Review covers five axes: correctness, readability, architecture, security, and performance.
The approval standard: Approve a change when it definitely improves overall code health, even if it isn't perfect. Perfect code doesn't exist — the goal is continuous improvement. Don't block a change because it isn't exactly how you would have written it. If it improves the codebase and follows the project's conventions, approve it.
When to Use
- Before merging any PR or change
- After completing a feature implementation
- When another agent or model produced code you need to evaluate
- When refactoring existing code
- After any bug fix (review both the fix and the regression test)
The Five-Axis Review
Host-model lens. The five axes apply universally. Individual bullets sometimes anchor on a specific host model — server-side (ASP.NET Core) items like N+1 EF Core patterns,
FromSqlRaw, antiforgery tokens, and[Authorize]policy checks won't apply to a pure Avalonia/MAUI client; client-side (Avalonia / MAUI / Blazor WebAssembly) items like dispatcher marshalling andlocalStoragediscipline won't apply to an ASP.NET Core API. Where a bullet is host-specific, the host is named inline.
Every review evaluates code across these dimensions:
1. Correctness
Does the code do what it claims to do?
- Does it match the spec or task requirements?
- Are edge cases handled (null, empty, boundary values,
default(T))? - Are error paths handled (not just the happy path)?
- Are
asyncmethods correctly awaited? No sync-over-async (.Result/.Wait()) on I/O paths? - Does it pass all tests (
dotnet test)? Are the tests actually testing the right things? - Are there off-by-one errors, race conditions, or state inconsistencies?
- Is
CancellationTokenthreaded through I/O methods? - For library code (NuGet packages, class libraries that may be consumed from non-ASP.NET-Core hosts — WPF, WinForms, MAUI, Avalonia UI thread), do public
awaitexpressions use.ConfigureAwait(false)to avoid capturing the caller'sSynchronizationContext? (Not needed for code that only runs under ASP.NET Core — it has noSynchronizationContextsince .NET Core 2.1.)
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.
- 9d ago First seen · 390 lines · 68 tokens per session scan A dd22b2db8cd3
code-review-and-quality is a skill published in the GitHub repository peterblazejewicz/claude-plugins (7 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 4,682 once invoked, about $0.0003 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.
Other skills, from other repositories
github-review-pr
Review GitHub pull requests with detailed, multi-perspective code analysis using parallel subagents. Use this skill whenever the user wants to review a PR, asks for code review on a pull request, mentions "review PR", "check this PR", "look at pull request", or references a PR number or GitHub PR URL. Do NOT use for…
github-review-pr
Review GitHub pull requests with evidence-backed, multi-perspective analysis and false-positive filtering. Use when the user asks to review, inspect, or check a GitHub pull request by number or URL. Default to reporting findings locally; publish comments, submit reviews, or approve only when the user explicitly…
respond-to-pr-comments
Respond to pull request review comments on GitHub or Azure DevOps Services. Reads review threads, validates each, proposes fixes or explanations, applies changes with user confirmation, and updates thread status via the platform's API. Use when the user wants to address PR feedback or resolve review threads.
github-operations
WORKFLOW SKILL — Full GitHub contribution lifecycle: branches, conventional commits, issues, PRs, Actions, releases. gh CLI-first with MCP fallback. WHEN: "commit", "push", "open PR", "create branch", "create issue", "cut release", "GitHub operation". DO NOT USE FOR: Azure infrastructure, Bicep/Terraform code…
codex
Delegate coding tasks to the OpenAI Codex CLI for features, refactoring, PR reviews, and batch fixes. Requires the codex CLI and typically a git repository.
validate-pr-review-comments
Inspect and evaluate GitHub PR review comments, respond with a clear technical position, and implement only valid feedback. Use when asked to review PR comments, respond to reviewers, address reviewer feedback, or make changes based on PR feedback.