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研究检索执行命令github未标认证来源可访问许可证需确认审计异常

tidy-code整洁的代码

Agent Skill

tidy-code 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

198

周安装

8

GitHub Stars

1

下载量

62
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tidy-code(整洁的代码)
来源仓库:https://github.com/ggwicz/skills
仓库路径:skills/tidy-code
安装命令:
npx skills add https://github.com/ggwicz/skills --skill tidy-code
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ggwicz/skills --skill tidy-code

简介

用于查找、检索和筛选相关信息。tidy-code 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写。
  • 安装方式:通过 npx 从指定 GitHub 仓库添加技能。

SKILL.md

tidy-code Review

Review source code against 10 language-agnostic structural quality principles and produce a findings report with concrete refactoring suggestions.

Important: This skill produces a report. Do not modify any reviewed files.


Review Workflow

  1. Select files — Use the user's specified files. If none specified, run scripts/scan-source-files.sh <project-directory> to discover source files. The <project-directory> argument is required — it must be the root of the user's project, NOT the skill's own directory.
  2. Load rules — Read references/principles-quick-ref.md for the full checklist with detection signals and thresholds.
  3. Review files in parallel — Spawn parallel sub-agents (via the Task tool, model sonnet, effort medium) to review files concurrently. Batch files into groups of 3–5 per sub-agent, grouping related files (same module or directory) together when possible so sub-agents can detect cross-file violations within their batch. Each sub-agent receives: its file list, the principles from references/principles-quick-ref.md, and instructions to produce findings in the Output Format below, loading detailed reference files on demand as violations are detected. Run up to 5 sub-agents concurrently. Once all complete, collect their findings. If a sub-agent fails, log the error and continue — do not block the rest of the review.
  4. Collect and deduplicate findings — Gather findings from all sub-agents. Remove exact duplicates if file batches shared related files. Check for cross-file violations that individual sub-agents may have missed (e.g., a dependency injected in one file but hardcoded in another within a different batch).
  5. Classify severity — Use references/severity-rubric.md to assign high/medium/low.
  6. Verify suggestions — For each suggested rewrite, confirm it resolves the flagged violation, does not introduce a new violation of any other principle, and preserves the original behavior. If a suggestion introduces a new violation, revise it before including it.
  7. Assemble report — Write findings to .agents/tidy/code/tidy-code-findings-YYYYMMDD.md (create the directory if it doesn't exist; use today's date). Group findings by file, then by severity (high first). End with the summary block.

Model & Effort Guidance

This skill does not require frontier-class reasoning for typical codebases. The 10 principles have concrete detection signals and named refactorings that reduce the task to structured pattern matching. Use a mid-tier model (e.g., Claude Sonnet) at high effort for orchestration, and the same model at medium effort for file-review sub-agents. For very large or architecturally complex codebases, upgrading the orchestrator to a frontier model (e.g., Claude Opus) may surface subtler cross-file violations.


Output Format

Use this exact structure for each finding:

## [file path]

### Finding [N] — [Smell name] [ID] (severity: [high|medium|low])
- **Line [N]:** `[original code snippet]`
- **Principle:** [One-sentence explanation of the violated principle]
- **Refactoring:** [Named refactoring technique]
- **Suggested:**
  [concrete rewrite as a fenced code block]

Example:

## src/services/order_service.py

### Finding 1 — Hidden Dependency TC-02 (severity: high)
- **Line 8:** `self.db = PostgresConnection("prod:5432")`
- **Principle:** Dependencies created internally are invisible, untestable, and tightly coupled to a specific implementation.
- **Refactoring:** Inject via constructor parameter
- **Suggested:**

class OrderService: def __init__(self, db, mailer): self.db = db self.mailer = mailer


### Finding 2 — Nested Pyramid TC-03 (severity: medium)
- **Line 34:** 3 levels of nesting in `process_order()`
- **Principle:** Each nesting level forces the reader to maintain a mental stack. Guard clauses flatten the logic.
- **Refactoring:** Replace Nested Conditional with Guard Clauses
- **Suggested:**

def process_order(order): if not order: return None if not order.items: return None if not order.payment: raise ValueError("Missing payment") # happy path — no nesting

If a file has no findings, omit it from the report entirely.

End the report with:

## Summary
- **Files reviewed:** [N]
- **Total findings:** [N] ([N] high, [N] medium, [N] low)
- **Top issues:** [List the 2-3 most frequent violations]
- **Highest-leverage fix:** [The single change that would most improve the codebase]

When to Load Reference Files

Load references on demand to conserve context:

FileWhen to load
references/principles-quick-ref.mdAlways — load at start of every review
references/severity-rubric.mdWhen classifying findings
references/composition-over-inheritance.mdInheritance depth > 1 or base class used only for code reuse
references/dependency-injection.mdimport + instantiate inside business logic
references/guard-clauses.mdNesting depth > 2 or pyramid-shaped conditionals
references/single-responsibility.mdFunction > 25 lines or class name contains "Manager", "Handler", "Utils"
references/fail-fast.mdBare except:/catch {}, silent None returns, or swallowed errors
references/least-surprise.mdget_* function has side effects, or boolean params at call sites
references/tell-dont-ask.mdExternal code reads 2+ fields from an object to make a decision
references/immutability.mdvar, let (JS) where const works, argument mutation, shared mutable state
references/naming.mdVague names (data, info, result) or abbreviations (usr, mgr)
references/functional-core-imperative-shell.mdBusiness logic contains I/O calls (db, http, file, print)

Scope Rules

  • Review: application source code — functions, classes, modules, components
  • Skip: test fixtures/factories, generated code, migration files, configuration files (JSON/YAML/TOML), vendor/third-party code, single-use scripts under 20 lines, type declaration files (.d.ts)
  • Light touch: test files — apply naming (TC-09) and guard clauses (TC-03) but do not enforce DI (TC-02) or functional core (TC-10), since test setup is inherently side-effectful
  • Do not modify reviewed files — produce recommendations only

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.4%
按下载量换算23

Claude

29.47%
按下载量换算18

Cursor

18.15%
按下载量换算11

Gemini CLI

9.51%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ggwicz/skills --skill tidy-code 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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