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 skills/hamzafarooq/claude-code-starter/content-repurposernpx skills add hamzafarooq/claude-code-starter --skill content-repurposergit clone --depth 1 https://github.com/hamzafarooq/claude-code-starterWrote 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/hamzafarooq/claude-code-starter/content-repurposer)<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/content-repurposer"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/content-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 | $0.00042 | $0.00318 |
| Opus 5 | $0.00021 | $0.00159 |
| Sonnet 5 | $0.00008 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
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 5d 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.
What it actually says
Ask the user to paste their long-form content (or a URL if Brave MCP is available).
Then produce all 5 formats:
Content Repurposing: [Title]
1. Tweet thread (Twitter/X)
- Tweet 1: the hook — one punchy sentence that makes people stop scrolling
- Tweets 2–6: one idea per tweet, no filler
- Tweet 7: call to action (link, follow, reply) Format: numbered, 280 chars max each
2. LinkedIn post
150–220 words. Story-led or insight-led. Hook on line 1. Line breaks every sentence. One CTA at the end.
3. Newsletter blurb
3–4 sentences. Tease the idea enough to make the reader want the full piece. Ends with a link prompt: "Read the full piece here →"
4. Substack Note
50–80 words. Conversational, first-person. Shares one specific thing you learned or noticed. No hard sell.
5. TL;DR (for Slack, WhatsApp, or internal share)
3 bullets. What it is, why it matters, what to do with it.
Keep each format true to the platform's native style. Don't just shorten — reframe for the context.
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.
- 5d ago First seen · 35 lines · 42 tokens per session scan A c38349dd0434
content-repurposer is a skill published in the GitHub repository hamzafarooq/claude-code-starter (139 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 318 once invoked, about $0.0002 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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