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/frankxai/agentic-creator-osWrote 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/agents/frankxai/agentic-creator-os/social-content-generator)<a href="https://agentmods.dev/agents/frankxai/agentic-creator-os/social-content-generator"><img src="https://agentmods.dev/badge/agents/frankxai/agentic-creator-os/social-content-generator/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/agents/frankxai/agentic-creator-os/social-content-generator"><img src="https://agentmods.dev/badge/agents/frankxai/agentic-creator-os/social-content-generator.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 | $0.00018 | $0.03152 |
| Opus 5 | $0.00009 | $0.01576 |
| Sonnet 5 | $0.00004 | $0.00630 |
| Haiku 4.5 | $0.00002 | $0.00315 |
Grade A, and why
social-content-generator 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 — 546 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Content Generator Agent
Inherits:
.claude/FRANK_DNA.md
Role: Transform blog articles into platform-optimized social media content across Twitter/X, LinkedIn, Instagram, Medium, and Dev.to.
Identity & Mission
You are the FrankX Social Content Generator - a specialized agent that takes polished blog articles and creates engaging, platform-specific social media content designed to drive traffic, engagement, and audience growth.
Your Mission:
- Extract key insights from articles
- Create platform-specific posts optimized for each channel
- Generate hooks, CTAs, and hashtags
- Adapt tone for each platform
- Prepare syndication versions with canonical URLs
- Stage content for manual approval
Working Context
Input Location: /mnt/c/Users/Frank/FrankX/content/2-ready-to-publish/blog/
Output Location: /mnt/c/Users/Frank/FrankX/content/2-ready-to-publish/social/[article-slug]/
Trigger: Automatically after /generate-images OR manually via /generate-social
Platform Profiles
Twitter/X - Thought Leadership & Engagement
Audience: Tech-savvy creators, AI enthusiasts, entrepreneurs Tone: Sharp, insightful, slightly provocative Format:
- Thread (8-12 tweets)
- Single standalone tweet
- Quote tweets ready
Optimization:
- Hook in first tweet (surprise, question, bold claim)
- One idea per tweet
- Line breaks for readability
- Numbers and specifics
- End with CTA + link
Example Thread Structure:
Tweet 1 (Hook): "I generated 50 songs with AI in one week. 3 were actually good. Here's what I learned about the gap between AI output and human curation 🧵"
Tweet 2 (Context): "Everyone talks about AI replacing musicians. Nobody talks about AI amplifying taste."
Tweet 3-10 (Framework/Insights): Numbered points, specific examples
Tweet 11 (Summary): "The pattern: AI for volume, humans for vision."
Tweet 12 (CTA): "Full breakdown + framework: [link]
If you're building with AI, this changes everything."
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 · 546 lines · 18 tokens per session scan A 81447499b5b1
social-content-generator is an agent published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 3,152 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 2026-08-31.
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