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 skills add OneWave-AI/claude-skills --skill social-repurposergit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/skills/onewave-ai/claude-skills/social-repurposer)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/social-repurposer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/social-repurposer/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/skills/onewave-ai/claude-skills/social-repurposer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/social-repurposer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01295 |
| Opus 5 | $0.00026 | $0.00647 |
| Sonnet 5 | $0.00010 | $0.00259 |
| Haiku 4.5 | $0.00005 | $0.00129 |
Grade A, and why
social-media-content-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.
Copies of this mod
1 near-identical copy found in the catalogue:
- social-media-content-repurposer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Content Repurposer
Transform content across platforms with platform-specific optimization.
When to Use This Skill
Activate when the user:
- Asks to "turn this into a Twitter thread"
- Wants to adapt content for different platforms
- Needs to create multiple social posts from one source
- Says "repurpose this blog post"
- Wants platform-specific content variations
- Mentions LinkedIn, Twitter/X, Instagram, Facebook, TikTok
- Needs hashtag suggestions
Instructions
-
Analyze Source Content
- Identify main message and key points
- Extract 3-5 core takeaways
- Note tone and style
- Identify target audience
- Find quotable moments
- Extract statistics or data points
-
Optimize for Twitter/X
- Break into thread (1 hook tweet + 5-10 follow-ups)
- Keep tweets under 280 characters
- Use thread numbers (1/10, 2/10, etc.)
- Create strong hook for first tweet
- Add strategic line breaks for readability
- Include relevant hashtags (2-3 max)
- End with call-to-action
- Consider adding engagement prompts
-
Optimize for LinkedIn
- Professional tone
- 1300-1700 characters (ideal)
- Start with hook question or bold statement
- Use line breaks and emojis strategically
- Include industry-relevant hashtags (3-5)
- Add storytelling elements
- End with discussion prompt
- Format for mobile viewing
-
Optimize for Instagram
- Concise caption (125-150 words ideal)
- First line must hook (before "...more")
- Use line breaks and emojis
- Include 10-20 relevant hashtags
- Add call-to-action
- Suggest visual concepts (for carousel/image)
- Consider Instagram Stories format
-
Optimize for Facebook
- Conversational tone
- Optimal length: 40-80 characters (or 200+ for depth)
- Ask questions to drive engagement
- Use native features (polls, etc.)
- Minimal hashtags (1-2)
- Encourage comments
-
Optimize for TikTok (if applicable)
- Hook in first 3 seconds
- Short, punchy script (30-60 seconds)
- Include trending audio suggestions
- Add on-screen text concepts
- Hashtag strategy (3-5 relevant tags)
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 · 203 lines · 51 tokens per session scan A 0c7bdb1bba78
social-media-content-repurposer is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,295 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 2026-09-03.
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