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tweetsmash-apitweetsmash API 搜索

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

921

周安装

38

GitHub Stars

323

下载量

301
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

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:tweetsmash-api(tweetsmash API 搜索)
来源仓库:https://github.com/pedronauck/skills
仓库路径:skills/tweetsmash-api
安装命令:
npx skills add https://github.com/pedronauck/skills --skill tweetsmash-api
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/pedronauck/skills --skill tweetsmash-api

简介

用于辅助 API 设计、接口文档和请求响应结构梳理。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中生成 OpenAPI 草稿或检查字段命名。
  • 使用时需确认业务语义、鉴权方式和错误处理规则,避免凭空补字段。
  • 安装命令:npx skills add https://github.com/pedronauck/skills --skill tweetsmash-api
  • 建议从现有代码或接口样例中提取事实,确保文档准确性。

SKILL.md

TweetSmash API

Use this skill to work directly with the TweetSmash REST API after verifying the current docs. Read references/api-reference.md before choosing an endpoint. Read references/bookmarks-filters.md only when bookmark filtering is required.

Procedures

Step 1: Validate Credentials and Scope

  1. Confirm that a TweetSmash API key is available before making requests. Prefer TWEETSMASH_API_KEY in the shell environment.
  2. Read references/api-reference.md to confirm the current endpoint, required headers, rate limits, and status codes.
  3. If the task requires bookmark filtering or pagination, read references/bookmarks-filters.md.

Step 2: Build the Request

  1. Use Authorization: Bearer $TWEETSMASH_API_KEY on every request.
  2. Use Content-Type: application/json for all examples in this skill. Keep the base URL as https://api.tweetsmash.com/v1.
  3. If the task fetches bookmarks with filters, execute python3 scripts/build-bookmarks-url.py with the needed flags to generate a correctly encoded URL.
  4. If the task adds labels, start from assets/add-labels-body.json and fill in tweet_ids plus either label_id or label_name.
  5. If the task removes labels, start from assets/remove-labels-body.json and fill in tweet_ids plus label_name.

Step 3: Execute the Correct Endpoint

  1. Fetch bookmarks with GET /bookmarks. Use the URL from scripts/build-bookmarks-url.py when filters, search, or cursors are present.
  2. List labels with GET /labels when the task needs current label IDs, label names, or usage counts.
  3. Add labels with POST /labels/add when the task needs to organize one or more bookmarked tweets.
  4. Remove labels with POST /labels/remove when the task needs to clean up or reclassify bookmarked tweets.
  5. Use cURL for quick execution or translate the same request into the caller’s runtime only after the endpoint and payload are confirmed.

Step 4: Verify the Response

  1. Confirm that the response JSON contains "status": true before reporting success.
  2. For bookmark reads, inspect meta.next_cursor, meta.limit, and meta.total_count when pagination matters.
  3. For label mutations, confirm the success message matches the intended action.
  4. If the task depends on label existence, call GET /labels again after a mutation to verify the resulting state.

Step 5: Return a Usable Result

  1. Summarize the request method, endpoint, and effective filters or payload fields that were used.
  2. Return the response body or a structured summary, depending on the caller’s requested output format.
  3. If follow-up pagination is possible, expose meta.next_cursor so the next request can continue from the prior page.

Error Handling

  • If authentication fails with 401, confirm that the bearer token is present, non-empty, and taken from the correct TweetSmash account.
  • If the API returns 402, stop and report that the current plan does not permit the requested API access.
  • If the API returns 429, stop sending additional requests, note the documented limit of 100 requests per hour per API key, and retry later.
  • If a bookmark query becomes hard to assemble by hand, rerun python3 scripts/build-bookmarks-url.py --help and rebuild the URL instead of manually concatenating query strings.
  • If a label mutation is ambiguous, list labels first with GET /labels and then rerun the mutation using the confirmed label identifier or label name.

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

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

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

37.39%
按下载量换算113

Claude

31.42%
按下载量换算95

Cursor

18.88%
按下载量换算57

Gemini CLI

9.9%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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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