Agent skill · Backend & API

api-pattern-extractor

API 模式提取工具。从捕获的流量中自动提取 API 模式、参数规范、认证方式、数据结构，生成 OpenAPI 规范和可复用代码。

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill api-pattern-extractor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.0
Allowed tools: Bash(neo:*)Bash(jq:*)Bash(python:*)
Path: skills/api/api-pattern-extractor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# API Pattern Extractor 从网站流量中自动提取 API 模式： - **Endpoint 发现** - 识别所有 API 端点 - **参数推断** - 分析请求参数和响应结构 - **认证模式** - 识别认证方式（Cookie、Token、API Key） - **依赖分析** - 发现 API 之间的数据依赖关系 - **OpenAPI 生成** - 自动生成 API 规范 ## 核心功能 ### 1. 从 Neo 捕获中提取 ```bash # 使用 neo 捕获数据 neo capture list target-site.com --json > captures.json # 提取 API 模式 python ~/skills/api-pattern-extractor/tools/extract-patterns.py \ --captures captures.json \ --output patterns.yaml ``` ### 2. 从 HAR 文件提取 ```bash # 导出 HAR neo capture export target-site.com --format har > traffic.har # 提取模式 python ~/skills/api-pattern-extractor/tools/har-to-openapi.py \ --har traffic.har \ --output openapi.yaml ``` ### 3. 实时分析 ```bash # 监控模式 python ~/skills/api-pattern-extractor/tools/live-analyzer.py \ --domain target-site.com \ --watch ``` ## 模式类型 ### Endpoint 模式 ```yaml endpoints: - path: /api/v1/products method: GET parameters: - name: page type: integer default: 1 - name: limit type: integer default: 20 - name: category type: string required: false response: type: object properties: items: type: array items: $ref: "#/components/schemas/Product" total: type: integer page: type: integer ``` ### 认证模式 ```yaml authentication: type: bearer location: he

What's inside
Steps it walks through
  1. 核心功能
  2. 1. 从 Neo 捕获中提取
  3. 2. 从 HAR 文件提取
  4. 3. 实时分析
  5. 模式类型
  6. Endpoint 模式
  7. 认证模式
  8. 数据流模式
  9. 命令详解
  10. extract-patterns
  11. analyze-dependencies
  12. generate-openapi
  13. 使用示例
  14. 电商网站 API 分析
Ships with 1 file
  • metadata.json
Commands it runs
neo capture list target-site.com --json > captures.json
python ~/skills/api-pattern-extractor/tools/extract-patterns.py \
neo capture export target-site.com --format har > traffic.har
python ~/skills/api-pattern-extractor/tools/har-to-openapi.py \
python ~/skills/api-pattern-extractor/tools/live-analyzer.py \
python extract-patterns.py [options]
python analyze-dependencies.py [options]
python generate-openapi.py [options]
python ~/skills/api-pattern-extractor/tools/analyze-dependencies.py \
python ~/skills/api-pattern-extractor/tools/generate-openapi.py \
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About this skill
What does the api-pattern-extractor skill do?

API 模式提取工具。从捕获的流量中自动提取 API 模式、参数规范、认证方式、数据结构，生成 OpenAPI 规范和可复用代码。

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill api-pattern-extractor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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