aidelly-social-autopilot

aidelly-social-autopilot is a skill for Claude Code from Aidelly/claude-plugin. It costs 34 tokens per session (1,879 once invoked), scanned A, original, MIT.

A Claude Code skill for managing social-media posts through Aidelly, an online content-management service. It covers creating, scheduling, approving, and reviewing posts and their results.

In plain words
What is it for?
Use it to publish posts immediately, schedule them, check approval status, and retrieve analytics summaries for connected social accounts.
Why use it?
It removes the need to switch between separate social-media publishing screens for routine content work. It also documents the account access needed to connect Claude Code to Aidelly.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the aidelly plugin — 1 skill, 1 MCP server shipped together

Good fit Use it to publish posts immediately, schedule them, check approval status, and retrieve analytics summaries for connected social accounts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aidelly/claude-plugin/aidelly-social
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Aidelly/claude-plugin --skill aidelly-social
Clone the repo
git clone --depth 1 https://github.com/Aidelly/claude-plugin

Made for: Claude Code.

Or install aidelly, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for aidelly-social-autopilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/aidelly/claude-plugin/aidelly-social/github.svg)](https://agentmods.dev/skills/aidelly/claude-plugin/aidelly-social)
Your own site
<a href="https://agentmods.dev/skills/aidelly/claude-plugin/aidelly-social"><img src="https://agentmods.dev/badge/skills/aidelly/claude-plugin/aidelly-social/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for aidelly-social-autopilot

Your own site · 80×15
<a href="https://agentmods.dev/skills/aidelly/claude-plugin/aidelly-social"><img src="https://agentmods.dev/badge/skills/aidelly/claude-plugin/aidelly-social.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,879 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.01879
Opus 5 $0.00017 $0.00940
Sonnet 5 $0.00007 $0.00376
Haiku 4.5 $0.00003 $0.00188

Measured 9d ago against content hash 2f97255a0efd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

aidelly-social-autopilot scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/aidelly-social/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Aidelly Social Autopilot — Claude Code Skill

Automate social content workflows in Aidelly via Claude Code. This skill documents the Aidelly MCP server endpoints for creating/scheduling posts, checking approval status, and pulling analytics summaries.

Authentication

Set up environment variables before using:

export AIDELLY_API_KEY=your_api_key_here
export AIDELLY_WORKSPACE_ID=your_workspace_id  # optional; required if managing multiple workspaces

The MCP server (https://app.aidelly.ai/api/mcp/public-api) will use these headers:

  • Authorization: Bearer ${AIDELLY_API_KEY}
  • x-aidelly-workspace-id: ${AIDELLY_WORKSPACE_ID} (if set)

Core Tools

1. Create a Post (Instant Publish)

Tool: aidelly_create_post

Create and publish a post immediately across one or more social platforms.

Parameters:

  • text (string, required): Post content (max 63,206 chars; platform-specific limits enforced)
  • content.media (array, optional): List of media objects
    • media.id (string): Media ID from aidelly_upload_media or aidelly_create_media_upload_url
    • media.type (string): 'image' or 'video'
  • accounts (array, required): List of account IDs or connection IDs to post to
  • scheduled_for (string, optional): ISO 8601 timestamp for scheduled publish

Example:

{
  "text": "New blog post is live!",
  "content": {
    "media": [{ "id": "media_abc123", "type": "image" }]
  },
  "accounts": ["account_123", "account_456"]
}

Returns: Post object with id, status, accounts, created_at


2. Schedule a Post

Tool: aidelly_create_scheduled_post

Schedule a post for future publish (with optional approval workflow).

Parameters:

  • text (string, required): Post content
  • content.media (array, optional): Media objects (same as create_post)
  • accounts (array, required): Account IDs to post to
  • scheduled_for (string, required): ISO 8601 timestamp for publish
  • platform_specific (object, optional): Platform-specific settings
    • platform_specific.comments (array): First-comment blocks (LinkedIn, Facebook, Twitter support)
    • platform_specific.linkedInAuthorTarget (object): LinkedIn org/member routing
  • approval_required (boolean, optional): Require approval before publishing

Read the full file on GitHub · 269 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 269 lines · 34 tokens per session scan A 2f97255a0efd

Subscribe to this mod's changes

aidelly-social-autopilot is a skill published in the GitHub repository Aidelly/claude-plugin (0 stars, last pushed 7d ago), licensed MIT. It adds 34 tokens to every session and 1,879 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens