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.
git clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/commands/brainbytes-dev/everything-claude-marketing/social-post)<a href="https://agentmods.dev/commands/brainbytes-dev/everything-claude-marketing/social-post"><img src="https://agentmods.dev/badge/commands/brainbytes-dev/everything-claude-marketing/social-post/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/commands/brainbytes-dev/everything-claude-marketing/social-post"><img src="https://agentmods.dev/badge/commands/brainbytes-dev/everything-claude-marketing/social-post.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 | $0.00028 | $0.01106 |
| Opus 5.5 | $0.00011 | $0.00442 |
| Sonnet 5.5 | $0.00006 | $0.00221 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
social-post 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 2mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/social-post
Create platform-native social media content that fits the conventions, algorithms, and audience expectations of each platform. Supports X, LinkedIn, Instagram, TikTok, YouTube, and more.
What This Command Does
The /social-post command generates ready-to-publish social media content adapted to each specified platform. It handles the nuances that matter — character limits, hashtag strategies, hook formats, content structure, and engagement patterns unique to each network. When you specify multiple platforms, each post is independently crafted rather than copy-pasted across channels.
The command delegates to the social-media-manager agent, which understands platform-specific best practices, algorithm preferences, and audience behavior patterns.
When to Use
- You are announcing company news, product launches, or milestones
- You need to promote blog posts, case studies, or other content
- You want to share thought leadership or industry insights
- You are building a content calendar and need draft posts
- You need to repurpose one piece of content across multiple platforms
- You want to create engagement-focused posts (polls, questions, threads)
- You are drafting posts for executives or team members
How It Works
- Platform Selection — Identifies which platforms to create content for
- Message Extraction — Distills the core message, news, or story from your input
- Format Optimization — Selects the best content format for each platform (thread, carousel outline, short-form video script, single post, etc.)
- Hook Engineering — Crafts attention-grabbing opening lines tuned to each platform's scroll behavior
- Content Structuring — Formats the body content using platform-native patterns (line breaks, emojis, bullet points as appropriate)
- CTA & Engagement — Adds platform-appropriate calls to action and engagement prompts
- Hashtag & Keyword Strategy — Includes relevant hashtags or keywords based on platform norms
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.
- 2mo ago First seen · 139 lines · 28 tokens per session scan A 717ccf5ce0df
social-post is a command published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 1,106 once invoked, about $0.0001 per session on Opus 5.5. 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.
social-post compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| social-postbrainbytes-dev/everything-claude-marketing | Command | 10 | 7mo ago | MIT | A | 28 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |