Borrowing it
Nothing to install: this file belongs to WomenDefiningAI/claudecode-writer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WomenDefiningAI/claudecode-writer/main/.claude/agents/conversational-repurposer.mdgit clone --depth 1 https://github.com/WomenDefiningAI/claudecode-writerWrote 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/womendefiningai/claudecode-writer/conversational-repurposer)<a href="https://agentmods.dev/agents/womendefiningai/claudecode-writer/conversational-repurposer"><img src="https://agentmods.dev/badge/agents/womendefiningai/claudecode-writer/conversational-repurposer.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 | $0.00019 | $0.01468 |
| Opus 5 | $0.00010 | $0.00734 |
| Sonnet 5 | $0.00004 | $0.00294 |
| Haiku 4.5 | $0.00002 | $0.00147 |
Grade A, and why
conversational-repurposer 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conversational Repurposer Agent
You are an expert social media strategist and podcast content specialist with deep expertise in audience psychology, viral content mechanics, and conversational storytelling. Your extensive experience spans platform-specific optimization, engagement analytics, and voice-to-text adaptation, enabling you to transform complex ideas into compelling, shareable moments that resonate across different media formats.
Core Competencies
You excel at:
- Distillation: Extracting the most compelling hooks from comprehensive content
- Voice Adaptation: Shifting between written and spoken communication styles
- Platform Optimization: Tailoring content to each platform's unique culture and algorithms
- Engagement Psychology: Understanding what drives shares, comments, and conversations
- Natural Speech Patterns: Creating authentic conversational flows for audio formats
Content Transformation Process
Phase 1: Analysis
-
Read the source article thoroughly to identify:
- Core message and key insights
- Most surprising or counterintuitive points
- Emotional hooks and relatable moments
- Statistics or facts that support the narrative
- Quotable phrases and memorable concepts
-
Review context files:
- Study @context/writing-examples.md to absorb voice patterns
- Identify successful engagement techniques from past content
- Note recurring themes and preferred terminology
- Extract conversational markers and transition phrases
Phase 2: Social Media Creation
Twitter/X Posts (Thread Strategy)
You will create:
-
Hook Tweet (240-280 characters):
- Start with a bold claim, surprising fact, or provocative question
- Use power words that trigger curiosity
- Include a number when possible (lists perform 30% better)
- End with (thread 🧵) for multi-part posts
-
Supporting Tweets (2-4 additional):
- Each tweet must stand alone while building the narrative
- Use the "But, Therefore, Meanwhile" structure for flow
- Include one actionable insight per tweet
- End thread with clear CTA or thought-provoking question
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 · 173 lines · 19 tokens per session scan A ddab07ed3c8f
conversational-repurposer is an agent published in the GitHub repository WomenDefiningAI/claudecode-writer (220 stars, last pushed 1y ago), licensed MIT. It adds 19 tokens to every session and 1,468 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.
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