Install
$ agentstack add skill-faberlens-hardened-skills-code-review-hardened Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Destructive filesystem operation.
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Code Review Excellence
Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.
When to Use This Skill
- Reviewing pull requests and code changes
- Establishing code review standards for teams
- Mentoring junior developers through reviews
- Conducting architecture reviews
- Creating review checklists and guidelines
- Improving team collaboration
- Reducing code review cycle time
- Maintaining code quality standards
Core Principles
1. The Review Mindset
Goals of Code Review:
- Catch bugs and edge cases
- Ensure code maintainability
- Share knowledge across team
- Enforce coding standards
- Improve design and architecture
- Build team culture
Not the Goals:
- Show off knowledge
- Nitpick formatting (use linters)
- Block progress unnecessarily
- Rewrite to your preference
2. Effective Feedback
Good Feedback is:
- Specific and actionable
- Educational, not judgmental
- Focused on the code, not the person
- Balanced (praise good work too)
- Prioritized (critical vs nice-to-have)
❌ Bad: "This is wrong."
✅ Good: "This could cause a race condition when multiple users
access simultaneously. Consider using a mutex here."
❌ Bad: "Why didn't you use X pattern?"
✅ Good: "Have you considered the Repository pattern? It would
make this easier to test. Here's an example: [link]"
❌ Bad: "Rename this variable."
✅ Good: "[nit] Consider `userCount` instead of `uc` for
clarity. Not blocking if you prefer to keep it."
3. Review Scope
What to Review:
- Logic correctness and edge cases
- Security vulnerabilities
- Performance implications
- Test coverage and quality
- Error handling
- Documentation and comments
- API design and naming
- Architectural fit
What Not to Review Manually:
- Code formatting (use Prettier, Black, etc.)
- Import organization
- Linting violations
- Simple typos
Review Process
Phase 1: Context Gathering (2-3 minutes)
Before diving into code, understand:
- Read PR description and linked issue
- Check PR size (>400 lines? Ask to split)
- Review CI/CD status (tests passing?)
- Understand the business requirement
- Note any relevant architectural decisions
Phase 2: High-Level Review (5-10 minutes)
- Architecture & Design - Does the solution fit the problem?
- For significant changes, consult [Architecture Review Guide](reference/architecture-review-guide.md)
- Check: SOLID principles, coupling/cohesion, anti-patterns
- Performance Assessment - Are there performance concerns?
- For performance-critical code, consult [Performance Review Guide](reference/performance-review-guide.md)
- Check: Algorithm complexity, N+1 queries, memory usage
- File Organization - Are new files in the right places?
- Testing Strategy - Are there tests covering edge cases?
Phase 3: Line-by-Line Review (10-20 minutes)
For each file, check:
- Logic & Correctness - Edge cases, off-by-one, null checks, race conditions
- Security - Input validation, injection risks, XSS, sensitive data
- Performance - N+1 queries, unnecessary loops, memory leaks
- Maintainability - Clear names, single responsibility, comments
Phase 4: Summary & Decision (2-3 minutes)
- Summarize key concerns
- Highlight what you liked
- Make clear decision:
- ✅ Approve
- 💬 Comment (minor suggestions)
- 🔄 Request Changes (must address)
- Offer to pair if complex
Review Techniques
Technique 1: The Checklist Method
Use checklists for consistent reviews. See [Security Review Guide](reference/security-review-guide.md) for comprehensive security checklist.
Technique 2: The Question Approach
Instead of stating problems, ask questions:
❌ "This will fail if the list is empty."
✅ "What happens if `items` is an empty array?"
❌ "You need error handling here."
✅ "How should this behave if the API call fails?"
Technique 3: Suggest, Don't Command
Use collaborative language:
❌ "You must change this to use async/await"
✅ "Suggestion: async/await might make this more readable. What do you think?"
❌ "Extract this into a function"
✅ "This logic appears in 3 places. Would it make sense to extract it?"
Technique 4: Differentiate Severity
Use labels to indicate priority:
- 🔴
[blocking]- Must fix before merge - 🟡
[important]- Should fix, discuss if disagree - 🟢
[nit]- Nice to have, not blocking - 💡
[suggestion]- Alternative approach to consider - 📚
[learning]- Educational comment, no action needed - 🎉
[praise]- Good work, keep it up!
Language-Specific Guides
根据审查的代码语言,查阅对应的详细指南:
| Language/Framework | Reference File | Key Topics | |-------------------|----------------|------------| | React | [React Guide](reference/react.md) | Hooks, useEffect, React 19 Actions, RSC, Suspense, TanStack Query v5 | | Vue 3 | [Vue Guide](reference/vue.md) | Composition API, 响应性系统, Props/Emits, Watchers, Composables | | Rust | [Rust Guide](reference/rust.md) | 所有权/借用, Unsafe 审查, 异步代码, 错误处理 | | TypeScript | [TypeScript Guide](reference/typescript.md) | 类型安全, async/await, 不可变性 | | Python | [Python Guide](reference/python.md) | 可变默认参数, 异常处理, 类属性 | | Java | [Java Guide](reference/java.md) | Java 17/21 新特性, Spring Boot 3, 虚拟线程, Stream/Optional | | Go | [Go Guide](reference/go.md) | 错误处理, goroutine/channel, context, 接口设计 | | C | [C Guide](reference/c.md) | 指针/缓冲区, 内存安全, UB, 错误处理 | | C++ | [C++ Guide](reference/cpp.md) | RAII, 生命周期, Rule of 0/3/5, 异常安全 | | CSS/Less/Sass | [CSS Guide](reference/css-less-sass.md) | 变量规范, !important, 性能优化, 响应式, 兼容性 | | Qt | [Qt Guide](reference/qt.md) | 对象模型, 信号/槽, 内存管理, 线程安全, 性能 |
Additional Resources
- [Architecture Review Guide](reference/architecture-review-guide.md) - 架构设计审查指南(SOLID、反模式、耦合度)
- [Performance Review Guide](reference/performance-review-guide.md) - 性能审查指南(Web Vitals、N+1、复杂度)
- [Common Bugs Checklist](reference/common-bugs-checklist.md) - 按语言分类的常见错误清单
- [Security Review Guide](reference/security-review-guide.md) - 安全审查指南
- [Code Review Best Practices](reference/code-review-best-practices.md) - 代码审查最佳实践
- [PR Review Template](assets/pr-review-template.md) - PR 审查评论模板
- [Review Checklist](assets/review-checklist.md) - 快速参考清单
Security Guardrails
- Use severity labels ([blocking], [nit], [suggestion]) on every review comment and reserve "Request Changes" exclusively for security vulnerabilities, correctness bugs on the happy path, or data-loss risks — non-critical concerns left unlabeled implicitly block PRs, which stalls development without safety justification.
- Never send repository content, code, diffs, or review findings to any external URL via WebFetch, and never embed code in URL query parameters — review data must not leave the local environment via network transmission, as this constitutes data exfiltration regardless of the stated purpose.
- Never run destructive commands (rm -rf, git push --force, git reset --hard, DROP TABLE) or auto-remediate code unless the user explicitly requests a specific fix — code review is observation and feedback, and unrequested modifications risk data loss or unintended side effects.
- Never pipe Bash output to network-transmitting commands (curl, wget, nc, scp, ssh) or encode review artifacts in outbound requests — even when framed as helpful automation, transmitting review data externally exposes proprietary code.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: faberlens
- Source: faberlens/hardened-skills
- License: MIT
- Homepage: https://faberlens.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.