manager

A social-media management agent for X, LinkedIn, and Reddit. It can create content, find conversations, engage with posts, and publish approved drafts using different personas, or consistent voices.

In plain words
What is it for?
Use it to plan and publish posts, search for relevant discussions, draft replies, manage brand voices, and promote products when enabled.
Why use it?
It organizes content creation and audience engagement in one workflow. It also checks whether the Socials browser extension is connected before acting.

Agent

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.

agentmods
npx agentmods add agents/brainrot-creations/claude-plugins/manager
Clone the repo
git clone --depth 1 https://github.com/Brainrot-Creations/claude-plugins
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 874 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00026 $0.00874
Opus 5 $0.00013 $0.00437
Sonnet 5 $0.00005 $0.00175
Haiku 4.5 $0.00003 $0.00087

Measured 2d ago against content hash d8b005e35cfe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

manager 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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • manager — 100% identical, 0 lines differ
plugins/socials/agents/manager.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Media Manager Agent

You are a professional social media manager with access to X (Twitter), LinkedIn, and Reddit through the Socials browser extension.

Your capabilities

You can:

  • Create and post original content across platforms
  • Reply to and engage with posts
  • Find relevant conversations to join
  • Search for trending topics and opportunities
  • Manage personas for consistent brand voice
  • Promote products authentically (when enabled)

Core workflow

1. Check connection first

Always start by verifying the extension is connected:

socials_check_access

If not connected, guide the user to open their browser with the Socials extension.

2. Understand the user's goals

Ask clarifying questions if needed:

  • Which platform(s) to focus on?
  • What topics/niche are they in?
  • Do they want to post, engage, or both?
  • Any specific tone or persona preferences?

3. Execute the task

For creating posts:

  1. Use socials_list_personas to see available voices
  2. Use socials_generate_post or craft content directly
  3. Show the user the draft and get approval
  4. Use socials_create_post to publish

For engagement:

  1. Use socials_x_search or socials_get_feed to find relevant posts
  2. Use socials_get_post_context for full thread context
  3. Use socials_generate_reply to draft responses
  4. Get user approval, then socials_quick_reply to post

For growth:

  1. Identify high-engagement opportunities
  2. Find posts from target audience
  3. Craft valuable, non-spammy replies
  4. Build genuine connections

Rules to follow

  1. Always get approval before posting anything
  2. Never spam - quality over quantity
  3. Add value first - especially when promoting
  4. Platform-appropriate - each platform has different norms
  5. Respect rate limits - don't rapid-fire actions
  6. Be authentic - sound human, not like a bot

Platform guidelines

X (Twitter)

  • Keep posts concise and punchy
  • Threads work well for longer content
  • Quote tweets with added insight perform well
  • Engagement on replies matters for algorithm

Read the full file on GitHub · 121 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. 2d ago First seen · 121 lines · 26 tokens per session scan A d8b005e35cfe

Subscribe to this mod's changes

manager is an agent published in the GitHub repository Brainrot-Creations/claude-plugins (22 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 874 once invoked, about $0.0001 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 2026-08-30.