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.
npx skills add Aidelly/claude-plugin --skill aidelly-socialgit clone --depth 1 https://github.com/Aidelly/claude-pluginWrote 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.
[](https://agentmods.dev/skills/aidelly/claude-plugin/aidelly-social)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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 objectsmedia.id(string): Media ID fromaidelly_upload_mediaoraidelly_create_media_upload_urlmedia.type(string): 'image' or 'video'
accounts(array, required): List of account IDs or connection IDs to post toscheduled_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 contentcontent.media(array, optional): Media objects (same as create_post)accounts(array, required): Account IDs to post toscheduled_for(string, required): ISO 8601 timestamp for publishplatform_specific(object, optional): Platform-specific settingsplatform_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
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.
- 9d ago First seen · 269 lines · 34 tokens per session scan A 2f97255a0efd
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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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…
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…
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…
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…