luongnv89/claude-howto is a visual, example-based guide to Claude Code, a coding tool that supports agents, hooks, skills, slash commands, and MCP servers. Developers use it to learn Claude Code through practical workflows and copyable templates, including the commands, agents, skills, plugins, and instructions catalogued here.
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 luongnv89/claude-howto --skill code-review-specialistgit clone --depth 1 https://github.com/luongnv89/claude-howtoWrote 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/luongnv89/claude-howto/code-review-specialist)<a href="https://agentmods.dev/skills/luongnv89/claude-howto/code-review-specialist"><img src="https://agentmods.dev/badge/skills/luongnv89/claude-howto/code-review-specialist/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/luongnv89/claude-howto/code-review-specialist"><img src="https://agentmods.dev/badge/skills/luongnv89/claude-howto/code-review-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00671 |
| Opus 5.5 | $0.00018 | $0.00268 |
| Sonnet 5.5 | $0.00009 | $0.00134 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
code-review-specialist 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 1mo 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Skill
This skill provides comprehensive code review capabilities focusing on:
-
Security Analysis
- Authentication/authorization issues
- Data exposure risks
- Injection vulnerabilities
- Cryptographic weaknesses
- Sensitive data logging
-
Performance Review
- Algorithm efficiency (Big O analysis)
- Memory optimization
- Database query optimization
- Caching opportunities
- Concurrency issues
-
Code Quality
- SOLID principles
- Design patterns
- Naming conventions
- Documentation
- Test coverage
-
Maintainability
- Code readability
- Function size (should be < 50 lines)
- Cyclomatic complexity
- Dependency management
- Type safety
Reference Files
This skill includes supporting files that you should read when performing reviews:
templates/review-checklist.md— Structured checklist covering security, performance, quality, and testing. Read this file and use it as a guide to ensure no category is missed during review.templates/finding-template.md— Standard template for documenting individual findings with severity, location, code examples, and impact analysis. Read this file and use its format when reporting issues.scripts/analyze-metrics.py— Python script that calculates code metrics (function count, class count, average line length, complexity score). Run this on the file under review to gather quantitative data.scripts/compare-complexity.py— Python script that compares cyclomatic and cognitive complexity between two versions of a file. Run this with the before and after versions when reviewing refactoring changes.
Review Template
For each piece of code reviewed, provide:
Summary
- Overall quality assessment (1-5)
- Key findings count
- Recommended priority areas
Critical Issues (if any)
- Issue: Clear description
- Location: File and line number
- Impact: Why this matters
- Severity: Critical/High/Medium
- Fix: Code example
What ships with it
4 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.
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.
- 1mo ago First seen · 88 lines · 46 tokens per session scan A e0ebeb9f8cbc
code-review-specialist is a skill published in the GitHub repository luongnv89/claude-howto (45,056 stars, last pushed 6d ago), licensed MIT. It adds 46 tokens to every session and 671 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
docs-page
A long-form technical documentation page with a left navigation panel, a main article, and a right table of contents. A table of contents lists the page sections and links to them.
review
A code-review checklist for examining current changes file by file. It covers correctness, security, performance, style, and maintainability, then groups findings by severity.
review-agent-tools
Reviews agent tool implementations for idempotency, input validation, docstring quality and conventions. Use for "review agent tools" or "check tool idempotency".
review-workflow-management
Read-only audit of the HTTP management endpoints (start, status, terminate, pause, resume, raise-event, purge) an app exposes for Dapr Workflows, with DWF-MGT-NNN findings. Use for "review workflow management" or "check workflow HTTP endpoints". To operate runs on Diagrid Catalyst use the catalyst-ai plugin.
review-pubsub-components
Reviews Dapr pub/sub configuration (components, Subscription files, resiliency, dapr.yaml and Aspire wiring) for inline secrets, unsecured brokers, dead-letter topics without retry policies, scopes and app-id or port collisions. Use for "review my pub/sub components" or "audit Dapr pubsub YAML".
review-pubsub-publishing
Reviews Dapr pub/sub publishing code in .NET and Python for swallowed publish failures, wrong pub/sub names, content types, client lifetime, bulk-publish partial failures and payload size. Use for "review my pub/sub publishing code" or "audit Dapr publish calls".