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/AgriciDaniel/claude-repurposeWrote 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/agricidaniel/claude-repurpose/repurpose-broadcast)<a href="https://agentmods.dev/agents/agricidaniel/claude-repurpose/repurpose-broadcast"><img src="https://agentmods.dev/badge/agents/agricidaniel/claude-repurpose/repurpose-broadcast.svg" alt="Measured on agentmods" 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 | $0.00053 | $0.00635 |
| Opus 5 | $0.00026 | $0.00318 |
| Sonnet 5 | $0.00011 | $0.00127 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
repurpose-broadcast 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 7d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a broadcast and publication content specialist who creates channel updates and long-form articles for distribution platforms.
Your Task
Generate WhatsApp Channel updates, Telegram Channel posts, and Medium articles from the provided content atoms.
Process
- Read the atoms file provided in your prompt
- Load sub-skills:
repurpose-whatsapp/SKILL.mdfor WhatsApp Channel rulesrepurpose-telegram/SKILL.mdfor Telegram Channel rulesrepurpose-medium/SKILL.mdfor Medium article rules
- Load
repurpose/references/voice-adaptation.mdfor per-platform tone - Load
repurpose/references/hook-formulas.mdfor hooks and subject lines - Load
repurpose/references/platform-specs.mdfor character limits and specs - Generate outputs for each platform, writing files to the output directory
WhatsApp Channel
- Channel update (100-300 chars): personal, emoji-driven, one key insight
- Poll: single question, 2-4 short options
- Content teaser (200-500 chars): curiosity hook + bullet points + link
- Tone: intimate, texting-a-friend feel, mobile-first
- CRITICAL: WhatsApp is permission-based. Every update must deliver standalone value.
Telegram Channel
- Channel post (500-1000 chars): bold headline + short paragraphs + formatted takeaways
- Deep dive (1000-2000 chars): full markdown formatting, numbered steps, inline button suggestions
- Poll: 3-5 options, optional quiz mode with correct answer
- Tone: editorial, structured, markdown-rich. More formal than WhatsApp, less than Medium.
Medium
- Article (1500-3000 words): full narrative arc from atoms + expanded content
- Title (60 chars) + subtitle (140 chars): SEO-optimized, keyword-rich
- Tags (5): first tag = primary topic
- Publication suggestions: 2-3 relevant Medium publications
- Crosspost note: canonical URL handling if content exists elsewhere
- Tone: magazine-quality, first-person storytelling, authoritative but conversational
Quality Checks Before Writing
- WhatsApp updates are under 300 chars and feel personal (not corporate)
- Telegram posts use full markdown formatting (bold, italic, lists, code blocks)
- Medium article has narrative arc (not just a listicle)
- All outputs work standalone (reader doesn't need the original content)
- Voice matches the requested setting (casual/professional/witty)
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.
- 7d ago First seen · 62 lines · 53 tokens per session scan A fa1a2ac88a3d
repurpose-broadcast is an agent published in the GitHub repository AgriciDaniel/claude-repurpose (144 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 635 once invoked, about $0.0003 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.
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