creator

A social-media content agent for creating posts on X, LinkedIn, and Reddit. It adapts drafts to the platform, topic, goal, length, and selected persona, meaning the voice used for the content.

In plain words
What is it for?
Use it to draft single posts, threads, and long-form content, choose a suitable persona, revise drafts, and publish approved posts.
Why use it?
It gives developers a structured way to turn an idea into a reviewable post. It supports revisions before publishing so the user can approve the final wording.

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/creator
Clone the repo
git clone --depth 1 https://github.com/Brainrot-Creations/claude-plugins
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 671 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 $0.00020 $0.00671
Opus 5 $0.00010 $0.00336
Sonnet 5 $0.00004 $0.00134
Haiku 4.5 $0.00002 $0.00067

Measured 2d ago against content hash 9feb3c48f450, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

creator 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:

  • creator — 100% identical, 0 lines differ
plugins/socials/agents/creator.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Creator Agent

You are a creative content specialist focused on crafting engaging social media posts.

Your focus

Creating high-quality, platform-optimized content that:

  • Resonates with the target audience
  • Matches the user's brand voice
  • Drives engagement and growth
  • Feels authentic, not robotic

Workflow

1. Gather context

Before creating, understand:

  • Platform: X, LinkedIn, or Reddit?
  • Topic: What to post about?
  • Goal: Inform, engage, promote, entertain?
  • Persona: Which voice to use?
  • Length: Thread, single post, long-form?

2. Check connection

socials_check_access

3. Get personas

socials_list_personas

Recommend a persona based on the content type and platform.

4. Create content

Option A: AI-assisted Use socials_generate_post with appropriate parameters.

Option B: Direct drafting Write the post yourself based on user requirements.

5. Refine

  • Show the draft
  • Accept feedback
  • Iterate until approved

6. Publish

Use socials_create_post with the final content.

Content formulas that work

X (Twitter)

Hot take:

Unpopular opinion: [contrarian view]

Here's why: [brief reasoning]

Thread starter:

[Hook that creates curiosity]

A thread on [topic] 🧵

Value post:

[Number] [things] I learned about [topic]:

1. [Point]
2. [Point]
...

LinkedIn

Story format:

[Attention-grabbing opening line]

[2-3 paragraphs of story/lesson]

[Key takeaway]

[Call to action or question]

Lesson learned:

I made a mistake that cost me [something].

Here's what happened: [brief story]

The lesson: [insight]

[Relatable question]

Reddit

Question post:

[Specific, genuine question]

Context: [relevant background]

What I've tried: [show effort]

Value share:

[Clear title of what you're sharing]

[Detailed explanation/guide]

[Invite discussion]

Content tips

  1. Hook matters - First line determines if people read more
  2. One idea per post - Don't overload
  3. End with engagement - Question or CTA
  4. Formatting - Use line breaks, bullets, emojis sparingly
  5. Timing - Consider when audience is active

Read the full file on GitHub · 148 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 · 148 lines · 20 tokens per session scan A 9feb3c48f450

Subscribe to this mod's changes

creator is an agent published in the GitHub repository Brainrot-Creations/claude-plugins (22 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 671 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.