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sc-analyzeSC 分析

Agent Skill

sc-analyze 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

649

周安装

26

GitHub Stars

公开资料未说明

下载量

210
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

MIT

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:sc-analyze(SC 分析)
来源仓库:https://github.com/tony363/superclaude
仓库路径:skills/sc-analyze
安装命令:
npx skills add tony363/superclaude --skill "sc-analyze"
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。

AgentSkills.tonpx skills
npx skills add tony363/superclaude --skill "sc-analyze"

简介

sc-analyze 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。

SKILL.md

Analysis & Troubleshooting Skill

Multi-domain code analysis with issue diagnosis and resolution capabilities.

Quick Start

# Quality analysis
/sc:analyze [target] --focus quality|security|performance|architecture

# Troubleshooting mode
/sc:analyze [issue] --troubleshoot --focus bug|build|performance|deployment

# With auto-fix
/sc:analyze "TypeScript errors" --troubleshoot --focus build --fix

Behavioral Flow

  1. Discover - Categorize source files, detect languages
  2. Scan - Apply domain-specific analysis techniques
  3. Evaluate - Generate prioritized findings with severity
  4. Recommend - Create actionable recommendations
  5. Report - Present comprehensive analysis with metrics

Flags

FlagTypeDefaultDescription
--focusstringqualityquality, security, performance, architecture, bug, build, deployment
--troubleshootboolfalseEnable issue diagnosis mode
--traceboolfalseDetailed trace analysis for debugging
--fixboolfalseAuto-apply safe fixes
--depthstringstandardquick, standard, deep
--formatstringtexttext, json, report

Analysis Domains

Quality Analysis

  • Code smells and maintainability issues
  • Pattern violations and anti-patterns
  • Technical debt assessment

Security Analysis

  • Vulnerability scanning
  • Compliance validation
  • Authentication/authorization review

Performance Analysis

  • Bottleneck identification
  • Resource utilization patterns
  • Optimization opportunities

Architecture Analysis

  • Component coupling assessment
  • Dependency analysis
  • Design pattern evaluation

Troubleshooting Mode

When --troubleshoot is enabled:

FocusBehavior
bugError analysis, stack traces, code inspection
buildBuild logs, dependencies, config validation
performanceMetrics analysis, bottleneck identification
deploymentEnvironment analysis, service validation

Examples

Security Deep Dive

/sc:analyze src/auth --focus security --depth deep

Build Failure Fix

/sc:analyze "compilation errors" --troubleshoot --focus build --fix

Performance Diagnosis

/sc:analyze "slow API response" --troubleshoot --focus performance --trace

MCP Integration

PAL MCP (Always Use)

ToolWhen to UsePurpose
mcp__pal__thinkdeepComplex issuesMulti-stage investigation with hypothesis testing
mcp__pal__debugBug troubleshootingSystematic root cause analysis
mcp__pal__codereviewQuality analysisComprehensive code quality, security, performance review
mcp__pal__consensusCritical findingsMulti-model validation of security/architecture issues
mcp__pal__challengeUncertain findingsForce critical thinking on ambiguous issues
mcp__pal__apilookupDependency issuesGet current API docs for version conflicts

PAL Usage Patterns

# Deep investigation (--depth deep)
mcp__pal__thinkdeep(
    step="Investigating performance bottleneck in API layer",
    hypothesis="Database queries lack proper indexing",
    confidence="medium",
    relevant_files=["/src/api/users.py"]
)

# Security analysis (--focus security)
mcp__pal__codereview(
    review_type="security",
    findings="Authentication, authorization, injection vectors",
    issues_found=[{"severity": "high", "description": "SQL injection risk"}]
)

# Critical finding validation
mcp__pal__consensus(
    models=[
        {"model": "gpt-5.2", "stance": "for"},
        {"model": "gemini-3-pro", "stance": "against"}
    ],
    step="Evaluate: Is this a critical security vulnerability?"
)

Rube MCP (When Needed)

ToolWhen to UsePurpose
mcp__rube__RUBE_SEARCH_TOOLSExternal analysisFind security scanners, linters
mcp__rube__RUBE_MULTI_EXECUTE_TOOLIssue trackingCreate tickets for findings
mcp__rube__RUBE_REMOTE_WORKBENCHBulk analysisProcess large codebases

Rube Usage Patterns

# Find and create Jira tickets for findings
mcp__rube__RUBE_SEARCH_TOOLS(queries=[
    {"use_case": "create jira issue", "known_fields": "project:SECURITY"}
])

# Notify team of critical findings
mcp__rube__RUBE_MULTI_EXECUTE_TOOL(tools=[
    {"tool_slug": "SLACK_SEND_MESSAGE", "arguments": {"channel": "#security", "text": "Critical finding..."}}
])

Flags (Extended)

FlagTypeDefaultDescription
--pal-deepboolfalseUse PAL thinkdeep for multi-stage analysis
--pal-reviewboolfalseUse PAL codereview for comprehensive review
--consensusboolfalseUse PAL consensus for critical findings
--notifystring-Notify via Rube (slack, jira, email)
--create-ticketsboolfalseCreate tickets for findings via Rube

Tool Coordination

  • Glob - File discovery and structure analysis
  • Grep - Pattern analysis and code search
  • Read - Source inspection and config analysis
  • Bash - External tool execution
  • Write - Report generation
  • PAL MCP - Multi-model analysis, debugging, code review
  • Rube MCP - External notifications, ticket creation

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

29.22%
按下载量换算61

Claude Code

25.23%
按下载量换算53

windsurf

17.4%
按下载量换算37

trae

13.58%
按下载量换算29

OpenCode

6.94%
按下载量换算15

Cursor

3.48%
按下载量换算7

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。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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