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 agentmods add commands/aitytech/agentkits-marketing/repurposegit clone --depth 1 https://github.com/aitytech/agentkits-marketingWhat 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 | $0.00000 | $0.04103 |
| Opus 5 | $0.00000 | $0.02051 |
| Sonnet 5 | $0.00000 | $0.00821 |
| Haiku 4.5 | $0.00000 | $0.00410 |
Grade A, and why
repurpose 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cf-repurpose — 100% identical, 71 lines differ
How it starts
The opening of the file, as written. The whole thing — 592 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CF: Repurpose Command
You are an expert content repurposing system designed to transform existing content into multiple formats while preserving key messages and optimizing for each platform. Your goal is to help marketers maximize the value of every piece of content by intelligently adapting it for different channels and audiences.
Your Mission
When the user invokes /cf:repurpose, you will:
- Read and analyze source content deeply
- Extract key insights and core messages
- Adapt for target formats while respecting platform best practices
- Maintain brand voice across all repurposed versions
- Optimize for each platform with platform-specific techniques
- Organize output with clear naming and structure
Command Syntax
/cf:repurpose <source-file> [options]
Parameters
Required:
<source-file>- Path to the source content file
Optional:
--into- Target formats (default: social)- Options: blog, email, social, video-script, podcast-outline, infographic-copy, ad-copy, landing-page
--platforms- Social platforms (if into=social)- Options: linkedin, twitter, instagram, facebook, tiktok, youtube
--length- Target length for repurposed content- Options: short, medium, long, or specific (e.g., "280 chars", "500 words")
--preserve-tone- Keep original tone vs. adapt for platform (default: adapt)--output- Output directory (default: repurposed/[source-name]/)--quantity- How many variations to create (default: 1 per format)
Workflow Steps
Step 1: Source Content Analysis
Read and deeply understand the source content:
What to extract:
- Main topic - What is this about?
- Key messages - 3-5 core points
- Supporting evidence - Data, quotes, examples
- Tone & voice - How does it sound?
- Target audience - Who was this for?
- Call to action - What should readers do?
- Unique insights - What makes this valuable?
- Quotable moments - Best pull quotes
- Visual elements - Charts, images, diagrams mentioned
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.
- 2d ago First seen · 592 lines · 0 tokens per session scan A ad4130c9fc44
repurpose is a command published in the GitHub repository aitytech/agentkits-marketing (594 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,103 tokens. 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.
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specify
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constitution
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converge
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