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api-integrationAPI 集成

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

1,885

周安装

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4

下载量

610
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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:api-integration(API 集成)
来源仓库:https://github.com/autumnsgrove/groveengine
仓库路径:skills/api-integration
安装命令:
npx skills add https://github.com/autumnsgrove/groveengine --skill api-integration
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/autumnsgrove/groveengine --skill api-integration

简介

api-integration 用于辅助 API 设计、接口文档、请求响应结构和服务集成说明,适合梳理 endpoint 和生成 OpenAPI 草稿。

  • 支持 OpenAPI 规范、字段命名检查、错误码整理和前后端联调支持,提升接口一致性。
  • 可处理鉴权方式、分页策略和缓存机制,帮助构建健壮的服务间通信模式。
  • 使用时需确认真实业务语义和现有代码样例,避免凭空补字段或假设未定义的接口行为。
  • 涉及密钥或敏感信息时,应遵循 secrets 管理规范,确保凭据不泄露到版本控制系统。

SKILL.md

API Integration Skill

When to Activate

Activate this skill when:

  • Integrating external APIs
  • Building API clients or wrappers
  • Handling API authentication
  • Implementing rate limiting
  • Caching API responses

Core Principles

  1. Respect rate limits - APIs are shared resources
  2. Secure authentication - Keys in secrets.json, never in code
  3. Handle errors gracefully - Implement retries and backoff
  4. Cache responses - Reduce redundant requests

Authentication Setup

secrets.json

{
  "github_token": "ghp_your_token_here",
  "openweather_api_key": "your_key_here",
  "comment": "Never commit this file"
}

Python Loading

import os
import json
from pathlib import Path

def load_secrets():
    secrets_path = Path(__file__).parent / "secrets.json"
    try:
        with open(secrets_path) as f:
            return json.load(f)
    except (FileNotFoundError, json.JSONDecodeError):
        return {}

secrets = load_secrets()
API_KEY = secrets.get("github_token", os.getenv("GITHUB_TOKEN", ""))

if not API_KEY:
    raise ValueError("No API key found")

Request Patterns

Basic GET (Python)

import requests

def api_request(url: str, api_key: str) -> dict:
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Accept": "application/json"
    }
    response = requests.get(url, headers=headers, timeout=10)
    response.raise_for_status()
    return response.json()

With Retry and Backoff

import time
from typing import Optional

def api_request_with_retry(
    url: str,
    api_key: str,
    max_retries: int = 3
) -> Optional[dict]:
    headers = {"Authorization": f"Bearer {api_key}"}
    wait_time = 1

    for attempt in range(max_retries):
        try:
            response = requests.get(url, headers=headers, timeout=10)

            if response.status_code == 200:
                return response.json()
            elif response.status_code == 429:
                print(f"Rate limited. Waiting {wait_time}s...")
                time.sleep(wait_time)
                wait_time *= 2
            else:
                print(f"Error: HTTP {response.status_code}")
                return None
        except requests.exceptions.RequestException as e:
            print(f"Request failed: {e}")
            time.sleep(wait_time)
            wait_time *= 2

    return None

Bash Request

#!/bin/bash
API_KEY=$(python3 -c "import json; print(json.load(open('secrets.json'))['github_token'])")

curl -s -H "Authorization: Bearer $API_KEY" \
  -H "Accept: application/json" \
  "https://api.github.com/user" | jq '.'

Error Handling

try:
    response = requests.get(url, headers=headers, timeout=10)
    response.raise_for_status()
    data = response.json()
except requests.exceptions.HTTPError as e:
    if e.response.status_code == 429:
        print("Rate limited - waiting")
    elif e.response.status_code == 401:
        print("Unauthorized - check API key")
    else:
        print(f"HTTP error: {e}")
except requests.exceptions.ConnectionError:
    print("Connection error")
except requests.exceptions.Timeout:
    print("Request timeout")

HTTP Status Codes

CodeMeaningAction
200SuccessProcess response
401UnauthorizedCheck API key
403ForbiddenCheck permissions
404Not foundVerify endpoint
429Rate limitedWait and retry
5xxServer errorRetry with backoff

Caching

import time

cache = {}
CACHE_TTL = 3600  # 1 hour

def cached_request(url: str, api_key: str) -> dict:
    now = time.time()

    if url in cache:
        data, timestamp = cache[url]
        if now - timestamp < CACHE_TTL:
            return data

    data = api_request(url, api_key)
    cache[url] = (data, now)
    return data

Rate Limiting

Check Headers

curl -I -H "Authorization: Bearer $API_KEY" "https://api.github.com/user" | grep -i rate
# x-ratelimit-limit: 5000
# x-ratelimit-remaining: 4999

Implement Delays

import time

def bulk_requests(urls: list, api_key: str, delay: float = 1.0):
    results = []
    for url in urls:
        result = api_request(url, api_key)
        results.append(result)
        time.sleep(delay)
    return results

Pagination

def fetch_all_pages(base_url: str, api_key: str) -> list:
    all_items = []
    page = 1

    while True:
        url = f"{base_url}?page={page}&per_page=100"
        data = api_request(url, api_key)

        if not data:
            break

        all_items.extend(data)
        page += 1
        time.sleep(1)  # Respect rate limits

    return all_items

Best Practices

DO ✅

  • Store keys in secrets.json
  • Implement retry with exponential backoff
  • Cache responses when appropriate
  • Respect rate limits
  • Handle errors gracefully
  • Log requests (without sensitive data)

DON'T ❌

  • Hardcode API keys
  • Ignore rate limits
  • Skip error handling
  • Make requests in tight loops
  • Log API keys

API Etiquette Checklist

  • Read API documentation and ToS
  • Check rate limits
  • Store keys securely
  • Implement rate limiting
  • Add error handling
  • Cache appropriately
  • Monitor usage

Grove API Error Responses (MANDATORY)

When building API routes in Grove applications, all error responses MUST use Signpost error codes. Never return ad-hoc JSON error shapes.

import {
  API_ERRORS,
  buildErrorJson,
  logGroveError,
} from "@autumnsgrove/lattice/errors";
import { json } from "@sveltejs/kit";

export const POST: RequestHandler = async ({ request, locals }) => {
  if (!locals.user) {
    logGroveError("Engine", API_ERRORS.UNAUTHORIZED, { path: "/api/resource" });
    return json(buildErrorJson(API_ERRORS.UNAUTHORIZED), { status: 401 });
  }

  const body = schema.safeParse(await request.json());
  if (!body.success) {
    return json(buildErrorJson(API_ERRORS.INVALID_REQUEST_BODY), {
      status: 400,
    });
  }

  // ... business logic
};

Client-side, use apiRequest() (handles CSRF + credentials) and show toast feedback:

import { toast } from "@autumnsgrove/lattice/ui";

try {
  await apiRequest("/api/resource", { method: "POST", body });
  toast.success("Created!");
} catch (err) {
  toast.error(err instanceof Error ? err.message : "Something went wrong");
}

See AgentUsage/error_handling.md for the complete Signpost error code reference.

Related Resources

See AgentUsage/api_usage.md for complete documentation including:

  • Bash request patterns
  • Conditional requests (ETags)
  • Advanced caching strategies
  • Specific API examples (GitHub, OpenWeather)

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

能力概览

能力 1

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能力 2

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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

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

33.81%
按下载量换算206

Claude

31.85%
按下载量换算194

Cursor

17.86%
按下载量换算109

Gemini CLI

9.55%
按下载量换算58

安全审计

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可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。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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