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low-complexity低复杂度

Agent Skill

low-complexity 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

514

周安装

21

GitHub Stars

1

下载量

165
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:low-complexity(低复杂度)
来源仓库:https://github.com/mryll/skills
仓库路径:skills/low-complexity
安装命令:
npx skills add https://github.com/mryll/skills --skill low-complexity
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/mryll/skills --skill low-complexity

简介

low-complexity 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于复杂度分析、算法优化线索查询等研究场景。
  • 通过关键词、任务或来源仓库进行信息筛选,需结合原始 README 确认具体用法。
  • 安装命令为 npx skills add https://github.com/mryll/skills --skill low-complexity。
  • 使用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操作。

SKILL.md

Low Complexity Code

Every function/method written or modified MUST target:

  • Cognitive Complexity <= 5 (SonarSource metric). Acceptable up to 10 for inherently complex logic. Never exceed 15.
  • Cyclomatic Complexity <= 5. Acceptable up to 10. Never exceed 15.

For full scoring rules, see cognitive-complexity-spec.md.

Cognitive Complexity Quick Reference

+1 for each: if, ternary (?:), switch (whole), for, while, do while, catch, else if, else, goto LABEL, break/continue LABEL, each method in a recursion cycle, each sequence of like boolean operators (&& / ||).

+1 nesting penalty on top of structural increment for: if, ternary, switch, for, while, catch — when nested inside another flow-break structure.

Free (no increment): method calls, try, finally, case labels, null-coalescing (?., ??), early return, simple break/continue, lambdas (but lambdas increase nesting level).

Cyclomatic Complexity Quick Reference

+1 for the method entry, +1 for each: if, else if, for, while, do while, case, catch, &&, ||, ternary ?. Core definition; some analyzers may vary by language.

Mandatory Reduction Techniques

Apply these in order of preference:

  1. Extract method/function — Move a coherent block into a named function. Resets nesting to 0. First choice when the extracted block forms a coherent unit.
  2. Early return / guard clause — Invert condition, return early, reduce nesting by 1 level.
  3. Replace nested conditions with flat logicif A {if B { becomes if A && B { (saves nesting penalty).
  4. Replace if/else chains with polymorphism, strategy pattern, or lookup table — Eliminates branching entirely.
  5. Replace loop + condition with declarative pipelinefilter/map/reduce or LINQ or streams instead of for + if.
  6. Decompose boolean expressions — Extract complex conditions into named boolean variables or predicate functions.
  7. Replace flag variables with early exit — Eliminate boolean flags that control flow later.
  8. Use language idioms — Null-coalescing, optional chaining, pattern matching, destructuring. These are often lower-cost than equivalent if/else chains (destructuring is free; pattern matching is +1 for the whole match vs +1 per branch in if/else).

How to Apply

When writing any function/method:

  1. Write the logic
  2. Mentally count: each if/else if/else/for/while/switch/catch/ternary = +1, each nesting level on structural ones = +1 more, each boolean operator sequence = +1
  3. If score > 5, refactor using the techniques above before finalizing
  4. Prefer multiple small functions over one large function
  5. Nesting depth > 2 is a smell — extract immediately

Bad vs Good Examples

Bad: Nested conditionals (CogC = 9)

def process(user, order):
    if user.is_active:                    # +1
        if order.is_valid:                # +2 (nesting=1)
            if order.total > 100:         # +3 (nesting=2)
                apply_discount(order)
            else:                         # +1
                charge_full(order)
        else:                             # +1
            raise InvalidOrder()
    else:                                 # +1
        raise InactiveUser()              # Total: 1+2+3+1+1+1 = 9

Good: Guard clauses + extraction (process CogC=2, charge CogC=2)

def process(user, order):               # CogC = 2
    if not user.is_active:                # +1
        raise InactiveUser()
    if not order.is_valid:                # +1
        raise InvalidOrder()
    charge(order)

def charge(order):                       # CogC = 2
    if order.total > 100:                 # +1
        apply_discount(order)
    else:                                 # +1
        charge_full(order)

Bad: Loop with nested conditions (CogC = 10)

function findFirst(items, criteria) {
  for (const item of items) {              // +1
    if (item.active) {                     // +2 (nesting=1)
      if (item.type === criteria.type) {   // +3 (nesting=2)
        if (item.score > criteria.min) {   // +4 (nesting=3)
          return item;
        }
      }
    }
  }                                        // Total: 1+2+3+4 = 10
  return null;
}

Good: Flat filter + early continue (findFirst CogC=5, matches CogC=1)

function findFirst(items, criteria) {      // CogC = 5
  for (const item of items) {              // +1
    if (!item.active) continue;            // +2 (nesting=1)
    if (matches(item, criteria)) return item; // +2 (nesting=1)
  }
  return null;
}

function matches(item, criteria) {         // CogC = 1
  return item.type === criteria.type       // +1 (&& sequence)
    && item.score > criteria.min;
}

适合场景

01

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02

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03

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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

35.72%
按下载量换算59

Claude

29.92%
按下载量换算49

Cursor

18.76%
按下载量换算31

Gemini CLI

7.67%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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