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threads-publisher线程发布者

Agent Skill

threads-publisher 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

总安装

5,198

周安装

221

GitHub Stars

1

下载量

1,821
OpenClaw

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

MIT-0

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:threads-publisher(线程发布者)
来源仓库:https://github.com/snoopyrain/threads-publisher
安装命令:
openclaw skills install threads-publisher
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install threads-publisher

简介

threads-publisher 用于发布帖子和主题到 Threads 平台,支持创建和回复内容。

  • 适用于社交媒体运营和内容分发等自动化场景。
  • 可通过 clawhub 安装,具体功能参考 GitHub 仓库文档。
  • 使用前应确认账号权限和发布内容的合规边界。
  • 注意检查是否会触发网络请求或第三方接口调用。

SKILL.md

name
threads-publisher
description
Publish posts and threads to Threads (by Meta). Use when the user says 'post to Threads', 'create a thread', 'publish thread', 'write a Threads post', 'reply on Threads', or wants to create text posts, photo/video posts, carousels, or multi-post threads on Threads.
version
1.0.0
metadata
openclaw
emoji
🧵
homepage
https://boring-doc.aiagent-me.com/getting-started/mcp.html
requires
config

Boring Threads Publisher

Publish posts, multi-post threads, and replies on Threads. Powered by Boring.

Security & Data Handling

  • MCP link is a credential: Your MCP Server URL (https://boring.aiagent-me.com/mcp/t/xxxxx...) contains an embedded authentication token. Treat it like a password — do not share it publicly.
  • Token scope: The embedded token grants publish access to your connected social media accounts. It can create posts, upload media, and manage scheduled posts on the platforms you have connected. It cannot access your social media passwords or modify account settings.
  • Token storage: The token is stored server-side in Boring's database (MongoDB on DigitalOcean). It is never written to your local filesystem. You can regenerate or revoke it anytime at boring.aiagent-me.com/settings.
  • Data flow: Analytics queries are sent from Boring's server (Google Cloud, us-central1) to the platform's API on your behalf. Only performance metrics are retrieved — no content is uploaded or modified.
  • No local credentials: No local API keys, environment variables, or secrets are needed. All auth is embedded in the MCP link.
  • Third-party service: This skill relies on Boring, an open-source social media management tool. Source code: github.com/snoopyrain.

Prerequisites

  1. Sign up at boring.aiagent-me.com with Google
  2. Connect Threads account via OAuth
  3. Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token — treat it like a password)
  4. Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Workflow

Step 1: List Accounts

Call boring_list_accounts and filter for threads platform. Show connected accounts.

Step 2: Determine Post Type

Threads supports multiple content types:

TypeDescriptionLimit
TextText-only post500 characters
PhotoSingle imageJPG/PNG/WEBP, max 8MB
CarouselMulti-image2-20 images (more than other platforms!)
VideoSingle videoMP4/MOV, max 512MB, 5 min
ThreadMulti-post threadArray of text posts, each up to 500 chars

Step 3: Choose the Right Tool

Single post (text, photo, carousel, video) → use boring_publish_post:

boring_publish_post(
  account_id="<threads_account_id>",
  platform="threads",
  text="Your post content",
  media_urls=["https://..."]  (optional)
)

Multi-post thread (long-form content split into connected posts) → use boring_publish_thread:

boring_publish_thread(
  account_id="<threads_account_id>",
  platform="threads",
  texts=["First post in thread", "Second post continues...", "Third post wraps up"],
  media_urls=["https://..."]  (optional, added to first post only)
)

Reply to existing post → use boring_reply_to_post_threads:

boring_reply_to_post_threads(
  account_id="<threads_account_id>",
  reply_to_id="<original_post_id>",
  text="Your reply here",
  media_urls=["https://..."]  (optional, first URL only)
)

Step 4: Handle Long Content

If the user provides content longer than 500 characters:

  1. Automatically split into multiple posts for a thread
  2. Split at sentence boundaries when possible
  3. Use boring_publish_thread with the array of texts
  4. Inform the user: "Your content was split into X connected posts"

Step 5: Prepare Media

  • Local files: boring_upload_file with file_path
  • URLs: boring_upload_from_url to re-host
  • Google Drive: Pass directly

Step 6: Publish and Report

Show results:

  • Post ID(s) for each published post
  • Thread URL if it was a multi-post thread
  • Any errors encountered

Scheduling

Add scheduled_at in ISO 8601 format to schedule:

boring_publish_post(..., scheduled_at="2025-12-25T10:00:00Z")
boring_publish_thread(..., scheduled_at="2025-12-25T10:00:00Z")

Threads-Specific Notes

  • Text-only posts: Threads is one of the few platforms that supports pure text posts
  • Carousel limit: Up to 20 images (vs 10 on Instagram/Facebook)
  • Token: 60-day expiration with auto-refresh 5 days before expiry
  • Rate Limit: 250 calls/hour per user
  • Permissions: threads_basic, threads_content_publish, threads_manage_replies

Error Handling

ErrorSolution
TextTooLongSplit into thread using boring_publish_thread
InvalidCarouselSizeCarousel needs 2-20 images
TokenExpiredReconnect at boring.aiagent-me.com (rare due to auto-refresh)
MediaTooLargeImages max 8MB, videos max 512MB

Documentation

Full API docs: boring-doc.aiagent-me.com

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

按任务关键词查找相关 Skills

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

76.31%
按下载量换算1,390

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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