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Agent Skill · 研究检索

upgrade-analysis(升级分析)

upgrade-analysis 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。

upgrade-analysis 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 69,971。

总安装 214周安装 9GitHub Stars 11下载 75核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:upgrade-analysis(升级分析)
来源仓库:https://github.com/lobbi-docs/claude
仓库路径:skills/upgrade-analysis
安装命令:
npx skills add https://github.com/lobbi-docs/claude --skill upgrade-analysis
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/lobbi-docs/claude --skill upgrade-analysis

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。upgrade-analysis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合在需要根据关键词或任务场景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或文件读写。

注意该技能当前分类为研究检索,功能聚焦升级策略分析。

来源仓库内路径:skills/upgrade-analysis

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/lobbi-docs/claude --skill upgrade-analysis;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

upgrade-analysis 怎么安装?

在终端执行 npx skills add https://github.com/lobbi-docs/claude --skill upgrade-analysis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

upgrade-analysis 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

upgrade-analysis 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

upgrade-analysis 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

upgrade-analysis 用的人多吗?

公开数据是累计安装 214 次,近一周安装 9 次,下载 75 次,GitHub 11 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

upgrade-analysis 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
upgrade-analysis

升级分析 · 本页

21411需要联网未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Upgrade Analysis Skill

Core analysis patterns and algorithms powering the upgrade intelligence system. Used by both the quick-mode analyst and the full council of specialists.

Analysis Architecture

                    ┌─────────────────┐
                    │  Fingerprinting  │
                    │  (skill)         │
                    └────────┬────────┘
                             │
                    ┌────────▼────────┐
              ┌─────┤  Signal Sweep    ├─────┐
              │     │  (this skill)    │     │
              │     └─────────────────┘     │
              │                             │
     Quick Mode                        Council Mode
         │                                  │
    ┌────▼─────┐              ┌─────────────▼──────────────┐
    │ upgrade-  │              │  5 Specialist Agents       │
    │ analyst   │              │  (parallel analysis)       │
    │ (single)  │              └──────────┬────────────────┘
    └────┬─────┘                         │
         │                    ┌──────────▼────────────────┐
         │                    │  Council Synthesizer       │
         │                    │  (dedupe, vote, bundle)    │
         │                    └──────────┬────────────────┘
         │                               │
    ┌────▼───────────────────────────────▼──┐
    │         Dashboard Rendering            │
    │    (visual output with heatmaps)       │
    └────────────────────────────────────────┘

Signal Detection Checklist

Run these checks in order. For quick mode, stop at 6+ signals. For council mode, each specialist runs their domain-specific subset.

Phase 1: Project Health (Config Files)

# Package.json signals
cat package.json 2>/dev/null | python3 -c "
import sys, json
try:
    pkg = json.load(sys.stdin)
    scripts = pkg.get('scripts', {})
    deps = {**pkg.get('dependencies', {}), **pkg.get('devDependencies', {})}

    essential = ['test', 'lint', 'build', 'dev']
    missing = [s for s in essential if s not in scripts]
    if missing: print(f'MISSING_SCRIPTS: {missing}')

    print(f'DEP_COUNT: {len(pkg.get(\"dependencies\", {}))}')
    print(f'DEV_DEP_COUNT: {len(pkg.get(\"devDependencies\", {}))}')

    if 'typescript' not in deps and '@types/node' not in deps:
        print('NO_TYPESCRIPT')
except: pass
" 2>/dev/null

# TypeScript strictness
grep -E '"strict"\s*:\s*true' tsconfig.json 2>/dev/null && echo 'TS_STRICT' || echo 'TS_NOT_STRICT'

# Linting configured
ls .eslintrc* eslint.config.* biome.json 2>/dev/null | head -1 || echo 'NO_LINTER'

# Formatting configured
ls .prettierrc* prettier.config.* biome.json 2>/dev/null | head -1 || echo 'NO_FORMATTER'

# Pre-commit hooks
ls .husky/pre-commit 2>/dev/null || echo 'NO_PRE_COMMIT'

Signals per check:

  • Missing test or lint script → DX upgrade (impact: 7)
  • strict: false or missing → Architecture upgrade (impact: 6)
  • No linter → DX upgrade (impact: 7)
  • No formatter → DX upgrade (impact: 5)
  • No pre-commit hooks → DX upgrade (impact: 7)

Phase 2: Code Patterns (Source Files)

# Large files (>300 lines)
find src/ -name '*.ts' -o -name '*.tsx' -o -name '*.py' 2>/dev/null | xargs wc -l 2>/dev/null | sort -rn | head -10

# TODO/FIXME density
grep -rn 'TODO\|FIXME\|HACK\|XXX' src/ --include='*.ts' --include='*.tsx' --include='*.py' 2>/dev/null | wc -l

# Console.log in production code
grep -rn 'console\.log' src/ --include='*.ts' --include='*.tsx' 2>/dev/null | grep -v test | grep -v spec | wc -l

# any type usage
grep -rn ': any\b' src/ --include='*.ts' --include='*.tsx' 2>/dev/null | grep -v test | grep -v '.d.ts' | wc -l

# Deep nesting (4+ levels)
grep -rn '^\s\{16,\}' src/ --include='*.ts' --include='*.tsx' 2>/dev/null | grep -v test | wc -l

# Duplicated patterns (similar exports)
grep -rn 'export.*function\|export.*const.*=' src/ --include='*.ts' 2>/dev/null | cut -d: -f3 | sort | uniq -d | head -5

Signals:

  • Files >300 lines → Architecture: split file (impact: 5-7 based on size)
  • 10 TODOs → Feature: resolve TODOs (impact: 4-6)
  • 5 console.logs in src → DX: add proper logging (impact: 4)
  • 5 any types → Architecture: type safety (impact: 6)
  • Deep nesting → Architecture: refactor (impact: 5)

Phase 3: Test Coverage

# Count source vs test files
src_count=$(find src/ -name '*.ts' -not -name '*.test.*' -not -name '*.spec.*' -not -name '*.d.ts' -not -path '*/__tests__/*' 2>/dev/null | wc -l)
test_count=$(find src/ -name '*.test.*' -o -name '*.spec.*' 2>/dev/null | wc -l)
echo "SOURCE: $src_count TESTS: $test_count RATIO: $(echo "scale=2; $test_count/$src_count" | bc 2>/dev/null)"

# Critical untested files (API routes, auth, database)
for f in $(find src/ -path '*/api/*' -o -path '*/auth/*' -o -path '*/db/*' -name '*.ts' -not -name '*.test.*' 2>/dev/null); do
  base="${f%.ts}"
  [ ! -f "${base}.test.ts" ] && [ ! -f "${base}.spec.ts" ] && echo "UNTESTED_CRITICAL: $f"
done

Signals:

  • Test ratio < 0.3 → DX: add tests for critical paths (impact: 7)
  • Untested API/auth files → Security + DX: add tests (impact: 8)

Phase 4: Security Quick-Scan

# Hardcoded secrets
grep -rn 'password\s*=\|secret\s*=\|api[_-]key\s*=' src/ --include='*.ts' --include='*.py' 2>/dev/null | grep -v test | grep -v 'process\.env\|os\.environ' | head -5

# Missing input validation at API boundaries
grep -rn 'req\.body\|request\.json' src/ --include='*.ts' --include='*.py' 2>/dev/null | grep -v 'validate\|schema\|zod\|joi\|pydantic' | head -10

# XSS risk indicators
grep -rn 'dangerouslySetInnerHTML\|innerHTML' src/ --include='*.tsx' --include='*.ts' 2>/dev/null | head -5

# JWT in localStorage
grep -rn 'localStorage.*token\|localStorage.*jwt' src/ --include='*.ts' --include='*.tsx' 2>/dev/null | head -5

Signals:

  • Hardcoded secrets → Security: use env vars (impact: 9, severity: critical)
  • Unvalidated input → Security: add schema validation (impact: 8)
  • XSS risk → Security: sanitize output (impact: 8)
  • JWT in localStorage → Security: use httpOnly cookies (impact: 7)

Phase 5: UX/Accessibility

# Missing alt text
grep -rn '<img' src/ --include='*.tsx' --include='*.jsx' 2>/dev/null | grep -v 'alt=' | head -5

# Missing loading states
grep -rn 'isLoading\|loading\|Spinner\|Skeleton' src/ --include='*.tsx' 2>/dev/null | wc -l

# Missing error boundaries
grep -rn 'ErrorBoundary' src/ --include='*.tsx' 2>/dev/null | wc -l

# Missing keyboard accessibility
grep -rn 'onClick' src/ --include='*.tsx' 2>/dev/null | wc -l
grep -rn 'onKeyDown\|onKeyUp' src/ --include='*.tsx' 2>/dev/null | wc -l

Signals:

  • Images without alt → UX: accessibility fix (impact: 6, severity: high)
  • No error boundaries → UX: add graceful error handling (impact: 7)
  • No loading states → UX: add skeleton screens (impact: 7)
  • Many onClick without onKeyDown → UX: keyboard accessibility (impact: 6)

Scoring Algorithms

Quick Mode Score

QuickScore = (Impact * 0.40) + (Effort * 0.30) + (Relevance * 0.30)

Council Mode Score

CouncilScore = (Impact * 0.30)
             + (Effort * 0.20)
             + (Confidence * 10 * 0.25)
             + (Relevance * 0.15)
             + (Innovation * 0.10)

Confidence Boosting

base_confidence = individual_agent_confidence  # 0.0-1.0

FOR each additional agent that flags the same issue:
  base_confidence += 0.15

confidence = min(0.99, base_confidence)

Bundle Synergy Score

individual_sum = impact_A + impact_B
bundle_impact = individual_sum * synergy_multiplier

WHERE synergy_multiplier:
  prerequisites:   1.20  (20% bonus — they naturally chain)
  amplifiers:      1.30  (30% bonus — combined effect is greater)
  same_module:     1.10  (10% bonus — less context switching)
  independent:     1.00  (no bonus)

Suggestion Quality Checklist

Before presenting any suggestion, verify:

  • References specific files and line numbers from the actual codebase
  • Includes before/after code showing the concrete change
  • Impact is quantified (latency, bundle size, query count, or similar)
  • Effort estimate is realistic for a single developer session
  • Category is accurate and not duplicated excessively in results
  • Implementation hint is concrete enough to start immediately
  • Tags enable cross-referencing with related findings
  • No generic advice — every word is specific to this codebase

Anti-Patterns to Avoid

Anti-PatternWhy It's BadInstead
"Add more tests"Too vague, not actionable"Add tests for createUser() in auth.ts — untested critical path"
"Improve error handling"No specific location"Add try/catch in fetchProducts() at api.ts:42 — unhandled promise rejection"
"Refactor this file"No clear outcome"Extract auth middleware from 4 route handlers into middleware/auth.ts"
"Use TypeScript"Already using TS"Enable strict: true in tsconfig — currently 23 implicit any types"
"Add caching"Where? What? How?"Add SWR cache to /api/products — 2400 identical DB queries/min, data changes every 5min"
3 architecture suggestionsLacks diversityMix categories: 1 performance + 1 security + 1 ux
Suggesting >1 day effortToo large for quick winsBreak into session-sized chunks or flag as "strategic"

Visual Output Templates

Health Bar (0-100)

████████░░ 78/100    (78% filled, 10 chars total)
██████░░░░ 55/100
███████░░░ 68/100
█████░░░░░ 48/100

Impact/Effort Bar (1-10)

▰▰▰▰▰▰▰▰▱▱ 8/10
▰▰▰▰▰▰▰▱▱▱ 7/10
▰▰▰▰▰▱▱▱▱▱ 5/10

Confidence Dots

●●●●○ 92% (4/5 filled for 80-99%)
●●●○○ 65% (3/5 for 60-79%)
●●○○○ 45% (2/5 for 40-59%)

Heatmap Row

src/api/        ██████████ Perf ████░░░░░░ Sec  ██████░░░░ Arch

These visual elements combine into the full dashboard rendered by the command.

平台分布

Codex

38.16%
按下载量换算29

Claude

29.79%
按下载量换算22

Cursor

19.76%
按下载量换算15

Gemini CLI

9.84%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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