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Agent Skill · 研究检索

technical-analysis(技术分析)

technical-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。

technical-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,权限为只读;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 73,527。

总安装 22周安装 8GitHub Stars 公开资料未说明下载 65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
MIT

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:technical-analysis(技术分析)
来源仓库:https://github.com/doubleslashse/claude-marketplace
仓库路径:skills/technical-analysis
安装命令:
npx skills add doubleslashse/claude-marketplace --skill "technical-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。

AgentSkills.tonpx skills
npx skills add doubleslashse/claude-marketplace --skill "technical-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。

发现并安装AI代理的技能,支持Codex、Claude等主流宿主。适用于需要扩展Agent能力的开发场景,提升智能化水平。通过npx skills add命令从指定仓库安装,路径为skills/technical-analysis。需关注权限范围和潜在的文件系统访问行为。建议核对仓库维护状态后再部署到生产环境。

来源仓库内路径:skills/technical-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 doubleslashse/claude-marketplace --skill "technical-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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

technical-analysis 怎么安装?

在终端执行 npx skills add doubleslashse/claude-marketplace --skill "technical-analysis"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

technical-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。

technical-analysis 需要什么权限?

权限级别是只读。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。

technical-analysis 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

technical-analysis 用的人多吗?

公开数据是累计安装 22 次,近一周安装 8 次,下载 65 次。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。

technical-analysis 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 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
technical-analysis

技术分析 · 本页

22—只读MIT未收录

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

name
technical-analysis
description
Technical analysis capabilities for APIs, data models, integrations, and security requirements. Use when analyzing technical aspects of systems or documenting technical requirements.
allowed-tools
Read, Grep, Glob, LSP

Technical Analysis Skill

Overview

This skill provides techniques for analyzing technical aspects of software systems including APIs, data models, integrations, and security requirements.

API Analysis

REST API Analysis

Endpoint Discovery

Look for these patterns:

  • Route definitions
  • Controller classes
  • OpenAPI/Swagger specifications
  • API documentation
Endpoint Documentation Template
### Endpoint: {METHOD} {PATH}

**Purpose**: {DESCRIPTION}

**Authentication**: {AUTH_METHOD}

**Request**:
- Headers: {HEADERS}
- Parameters: {PARAMS}
- Body: {BODY_SCHEMA}

**Response**:
- Success (200): {SUCCESS_SCHEMA}
- Error (4xx/5xx): {ERROR_SCHEMA}

**Business Rules**:
- {RULE_1}
- {RULE_2}
API Quality Checklist
  • [ ] Consistent naming conventions
  • [ ] Proper HTTP methods used
  • [ ] Appropriate status codes
  • [ ] Error responses standardized
  • [ ] Pagination implemented for lists
  • [ ] Versioning strategy in place
  • [ ] Rate limiting configured
  • [ ] Authentication documented

GraphQL API Analysis

Schema Analysis
type Query {
  user(id: ID!): User
  orders(userId: ID!, status: OrderStatus): [Order]
}

type Mutation {
  createOrder(input: CreateOrderInput!): Order
  updateOrderStatus(id: ID!, status: OrderStatus!): Order
}
Document
  • Queries available (read operations)
  • Mutations available (write operations)
  • Types and their relationships
  • Required vs optional fields
  • Custom scalars
  • Directives used

Message/Event APIs

Event Schema Documentation
### Event: {EVENT_NAME}

**Topic/Queue**: {TOPIC}
**Producer**: {PRODUCER_SERVICE}
**Consumers**: {CONSUMER_LIST}

**Payload Schema**:
{JSON_SCHEMA}

**Business Trigger**: {WHEN_PUBLISHED}
**Expected Response**: {CONSUMER_BEHAVIOR}

Data Model Analysis

Entity Analysis

Entity Documentation Template
## Entity: {ENTITY_NAME}

### Description
{BUSINESS_DESCRIPTION}

### Attributes
| Name | Type | Required | Description | Constraints |
|------|------|----------|-------------|-------------|
| id | UUID | Yes | Primary key | Auto-generated |
| name | string | Yes | Display name | Max 100 chars |
| status | enum | Yes | Current state | Active, Inactive |

### Relationships
| Related Entity | Type | Description |
|---------------|------|-------------|
| Order | 1:N | Customer has many orders |
| Address | 1:1 | Customer has one address |

### Business Rules
- {RULE_1}
- {RULE_2}

### Indexes
| Index Name | Columns | Purpose |
|------------|---------|---------|
| idx_email | email | Unique lookup |

Data Flow Analysis

Data Flow Documentation
## Data Flow: {FLOW_NAME}

### Overview
{DESCRIPTION}

### Source
- System: {SOURCE_SYSTEM}
- Entity: {SOURCE_ENTITY}
- Trigger: {TRIGGER_EVENT}

### Transformations
1. {TRANSFORMATION_1}
2. {TRANSFORMATION_2}

### Destination
- System: {DEST_SYSTEM}
- Entity: {DEST_ENTITY}
- Action: {CREATE/UPDATE/DELETE}

### Error Handling
- {ERROR_SCENARIO}: {HANDLING}

### Diagram
[Source] → [Transform] → [Destination]

Database Schema Analysis

Schema Documentation
## Table: {TABLE_NAME}

### Columns
| Column | Type | Nullable | Default | Description |
|--------|------|----------|---------|-------------|
| id | bigint | No | auto | Primary key |

### Constraints
| Name | Type | Definition |
|------|------|------------|
| pk_table | Primary Key | (id) |
| fk_user | Foreign Key | user_id → users(id) |
| chk_status | Check | status IN ('A', 'I') |

### Indexes
| Name | Columns | Unique | Purpose |
|------|---------|--------|---------|
| idx_email | email | Yes | Lookup |

Integration Analysis

Integration Point Documentation

## Integration: {INTEGRATION_NAME}

### Overview
| Attribute | Value |
|-----------|-------|
| External System | {SYSTEM_NAME} |
| Integration Type | API / File / Message Queue / Database |
| Direction | Inbound / Outbound / Bidirectional |
| Frequency | Real-time / Batch / Event-driven |
| Protocol | REST / SOAP / SFTP / MQ / etc. |

### Data Exchange
| Data Element | Source | Destination | Transform |
|--------------|--------|-------------|-----------|
| Customer ID | System A | System B | Direct map |
| Order Total | System A | System B | Convert currency |

### Authentication
- Method: {AUTH_METHOD}
- Credentials: {CREDENTIAL_LOCATION}
- Rotation: {ROTATION_POLICY}

### Error Handling
| Error Type | Detection | Response | Retry |
|------------|-----------|----------|-------|
| Timeout | 30s limit | Log + Alert | 3x exponential |
| 4xx Error | Response code | Log + Skip | No retry |
| 5xx Error | Response code | Log + Alert | 3x exponential |

### SLA
- Availability: {UPTIME_REQUIREMENT}
- Response Time: {LATENCY_REQUIREMENT}
- Throughput: {VOLUME_REQUIREMENT}

### Monitoring
- Health Check: {ENDPOINT}
- Metrics: {METRICS_COLLECTED}
- Alerts: {ALERT_CONDITIONS}

Integration Pattern Analysis

Synchronous Patterns
  • Request-Response: Direct API calls
  • API Gateway: Centralized routing
  • Service Mesh: Sidecar proxies
Asynchronous Patterns
  • Message Queue: Point-to-point messaging
  • Publish-Subscribe: Event distribution
  • Event Sourcing: Event log as source of truth
Data Integration Patterns
  • ETL: Extract, Transform, Load
  • Change Data Capture: Real-time sync
  • Data Virtualization: On-demand access

Security Analysis

Security Requirements Documentation

Authentication Analysis
## Authentication

### Current Implementation
- Method: {JWT / OAuth2 / SAML / etc.}
- Identity Provider: {IDP_NAME}
- Token Lifetime: {DURATION}
- Refresh Strategy: {STRATEGY}

### Multi-Factor Authentication
- Required For: {USER_TYPES}
- Methods: {MFA_METHODS}
- Bypass Conditions: {EXCEPTIONS}

### Session Management
- Timeout: {IDLE_TIMEOUT}
- Concurrent Sessions: {ALLOWED / PREVENTED}
- Session Storage: {MECHANISM}
Authorization Analysis
## Authorization

### Access Control Model
- Type: RBAC / ABAC / ACL / Custom

### Roles
| Role | Description | User Count |
|------|-------------|------------|
| Admin | Full access | 5 |
| Manager | Department access | 20 |
| User | Limited access | 500 |

### Permissions Matrix
| Resource | Admin | Manager | User |
|----------|-------|---------|------|
| Users | CRUD | R | - |
| Orders | CRUD | CRUD | CRU |
| Reports | CRUD | R | R |

### Business Rules
- {RULE_1}
- {RULE_2}
Data Protection Analysis
## Data Protection

### Sensitive Data Inventory
| Data Element | Classification | Protection |
|--------------|----------------|------------|
| Password | Secret | Hashed (bcrypt) |
| SSN | PII | Encrypted at rest |
| Credit Card | PCI | Tokenized |

### Encryption
- At Rest: {METHOD}
- In Transit: {METHOD}
- Key Management: {STRATEGY}

### Data Masking
| Field | Mask Type | Example |
|-------|-----------|---------|
| SSN | Partial | ***-**-1234 |
| Email | Partial | j***@***.com |

Compliance Analysis

## Compliance Requirements

### Applicable Regulations
| Regulation | Scope | Requirements |
|------------|-------|--------------|
| GDPR | EU users | Consent, Right to erasure |
| HIPAA | Health data | PHI protection |
| PCI-DSS | Payment data | Card data security |

### Compliance Controls
| Control | Implementation | Evidence |
|---------|----------------|----------|
| Access logging | Audit table | Logs |
| Encryption | AES-256 | Config |
| Retention | 7 years | Policy doc |

### Audit Requirements
- Audit logging enabled: {YES/NO}
- Retention period: {DURATION}
- Access review frequency: {FREQUENCY}

Infrastructure Analysis

Infrastructure Documentation

## Infrastructure Overview

### Environments
| Environment | Purpose | URL |
|-------------|---------|-----|
| Development | Dev testing | dev.app.com |
| Staging | Pre-prod testing | staging.app.com |
| Production | Live system | app.com |

### Compute
| Component | Type | Specs | Count |
|-----------|------|-------|-------|
| Web Server | VM/Container | 4 CPU, 8GB | 3 |
| API Server | Container | 2 CPU, 4GB | 5 |
| Database | RDS | db.r5.large | 2 |

### Networking
- VPC/VNET: {NETWORK_ID}
- Subnets: {SUBNET_LIST}
- Load Balancer: {LB_TYPE}
- CDN: {CDN_PROVIDER}

### Storage
| Type | Purpose | Size | Backup |
|------|---------|------|--------|
| RDS | Primary DB | 500GB | Daily |
| S3 | File storage | 1TB | Cross-region |
| Redis | Cache | 10GB | None |

Analysis Output Summary

After technical analysis, document:

  1. API Contracts: All endpoints with schemas
  2. Data Models: Entities, relationships, constraints
  3. Integrations: External systems, data flows
  4. Security: Auth, authorization, data protection
  5. Infrastructure: Compute, storage, networking
  6. Technical Debt: Issues and recommendations

See integration-patterns.md for common integration patterns.

平台分布

windsurf

31.93%
按下载量换算21

OpenCode

24.3%
按下载量换算16

Codex

17.07%
按下载量换算11

Claude Code

12.61%
按下载量换算8

Antigravity

8.03%
按下载量换算5

Gemini CLI

3.83%
按下载量换算2

安全审计

暂无安全审计结果可展示。

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

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。目前只有一个公开来源,建议同时核对源仓库。

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