跳到正文
cccskills
免费在 GitHub 公开

fresh-eyes-review

This skill should be used as a mandatory final sanity check before git commit, PR creation, or declaring work done. Triggers on "commit", "push", "PR", "pull request", "done", "finished", "complete", "ship", "deploy", "ready to merge". Catches security vulnerabilities, logic errors, and business rule bugs that slip through despite passing tests.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(2)

  • SKILL.md6.2 KB
  • skill-report.json20.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Fresh-Eyes Review

Core Principle

"NO COMMIT WITHOUT FRESH-EYES REVIEW FIRST"

This represents a final quality gate executed after implementation completion, passing tests, and peer review. The discipline applies universally, even without explicit skill activation.

Key Distinctions

Fresh-eyes review differs fundamentally from testing and code review:

ApproachFocusBlind Spots
TestingValidates expected behaviorCan't test for unknown edge cases
Code reviewPatterns and qualityReviewer trusts author's intent
Fresh-eyesDeliberate re-reading with psychological distanceCatches what you thought was correct

Critical insight: "100% test coverage and passing scenarios" can coexist with "critical bugs" waiting discovery.

Required Process

Step 1 - Announce Commitment

Explicitly declare: "Starting fresh-eyes review of [N] files. This will take 2-5 minutes."

This announcement creates accountability and reframes your mindset from implementation to audit.

Step 2 - Security Vulnerability Checklist

Review all touched files for security issues:

VulnerabilityWhat to Check
SQL InjectionAll database queries use parameterized statements, never string concatenation
XSSAll user-provided content is escaped before rendering in HTML
Path TraversalFile paths are validated, ../ sequences rejected or normalized
Command InjectionShell commands don't include unsanitized user input
IDORResources are access-controlled, not just unguessable IDs
Auth BypassEvery protected endpoint checks authentication and authorization

Example finding:

// Before: SQL injection vulnerability
const user = await db.query(`SELECT * FROM users WHERE id = '${userId}'`);

// After: Parameterized query
const user = await db.query('SELECT * FROM users WHERE id = $1', [userId]);

Step 3 - Logic Error Checklist

Error TypeWhat to Check
Off-by-oneArray indices, loop bounds, pagination limits
Race conditionsConcurrent access to shared state, async operations
Null/undefinedEvery . chain could throw; defensive checks present?
Type coercion== vs ===, implicit conversions
State mutationsUnexpected side effects on input parameters?
Error swallowingEmpty catch blocks, ignored promise rejections

Example finding:

// Before: Off-by-one in pagination
const hasMore = results.length < pageSize;

// After: Correct boundary
const hasMore = results.length === pageSize;

Step 4 - Business Rule Checklist

CheckQuestions
CalculationsDo formulas match requirements exactly? Currency rounding correct?
ConditionsAND vs OR logic correct? Negations applied properly?
Edge casesEmpty input, single item, maximum values, zero values?
Error messagesUser-friendly? Leak no sensitive information?
Default valuesSensible defaults when optional fields omitted?

Example finding:

// Before: Tax calculation uses wrong rounding
const tax = price * 0.08;

// After: Proper currency rounding
const tax = Math.round(price * 0.08 * 100) / 100;

Step 5 - Performance Checklist

IssueWhat to Check
N+1 queriesLoops that make database calls should be batched
Unbounded loopsMaximum iterations, timeout protection
Memory leaksEvent listeners removed, streams closed, references cleared
Missing indexesQueries filter/sort on indexed columns?
Large payloadsPagination implemented? Response size bounded?

Step 6 - Fix Immediately

Address findings before declaring completion:

  1. Make the fix
  2. Add test covering the issue (if not present)
  3. Re-run full test suite
  4. Re-run linter/type checker

Step 7 - Declare Results

Mandatory announcement:

Fresh-eyes complete. [N] issues found and fixed:
- [Brief description of each issue and fix]

Include this even for zero findings—it proves execution.

Time Commitment

File CountExpected Duration
1-3 files2 minutes
4-10 files3-4 minutes
10+ files5 minutes max

Warning signs:

  • Faster than 2 minutes suggests insufficient depth
  • More than 5 minutes indicates scope creep—stay focused on the changed code

Resistance Patterns to Reject

The following rationalizations must be explicitly rejected:

RationalizationReality
"Tests are comprehensive"Tests validate design, not correctness
"I'm confident it's correct"Confidence is inversely correlated with bugs
"Partner is waiting"3 minutes now saves 3 hours debugging later
"Production is blocked"Rushing causes the outages being rushed to fix
"Senior dev already approved"They reviewed intent, not implementation details
"It's just a small change"Small changes cause large outages

These circumstances represent precisely when critical bugs escape into production.

Example Workflow

User: "I'm done implementing the auth feature, let me commit"
Assistant: [Triggers fresh-eyes-review skill]

Starting fresh-eyes review of 4 files. This will take 2-5 minutes.

[Reviews auth.ts for security]
- Found: Missing input validation on email field
- Fixed: Added email format validation

[Reviews handler.ts for logic]
- Found: Off-by-one error in pagination
- Fixed: Changed < to <= in boundary check

[Reviews db.ts for performance]
- No issues found

[Reviews api.ts for business rules]
- No issues found

Re-running tests... All tests pass

Fresh-eyes complete. 2 issues found and fixed.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

中文简介正在准备中。当前显示原文说明。

aiskillstore/marketplace4432026年10月23日 更新

Trigger for: explaining current FAR, DFARS, or agency-supplement text; determining documented acquisition-policy status for an agency and FAR part; comparing codified text, RFO model text, and agency deviations; tracing acquisition rulemaking; finding procurement comment periods; analyzing public comments; refreshing prior policy analysis; or producing an Acquisition Policy Impact Brief. Use published federal sources and supplied policy documents without making legal or procurement-specific applicability determinations. Do not use for clause selection, market research execution, opportunities, pricing, grants, or cooperative agreements.

中文简介正在准备中。当前显示原文说明。

aiskillstore/marketplace4432026年10月23日 更新

Systematic framework for extracting actionable items from documents and organizing them into prioritized, trackable checklists. Use when converting reports, meeting notes, audits, or any document with embedded action items into structured TODO lists.

中文简介正在准备中。当前显示原文说明。

aiskillstore/marketplace4432026年10月23日 更新

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video

中文简介正在准备中。当前显示原文说明。

aiskillstore/marketplace4432026年10月23日 更新

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

中文简介正在准备中。当前显示原文说明。

aiskillstore/marketplace4432026年10月23日 更新

Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

中文简介正在准备中。当前显示原文说明。

aiskillstore/marketplace4432026年10月23日 更新

查看 aiskillstore 的全部技能

报告此技能的问题