Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AgriciDaniel/claude-repurposenpx agentmods add skills/agricidaniel/claude-repurpose/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/skills/agricidaniel/claude-repurpose/repurpose)<a href="https://agentmods.dev/skills/agricidaniel/claude-repurpose/repurpose"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose/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/agricidaniel/claude-repurpose/repurpose"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00179 | $0.05120 |
| Opus 5.5 | $0.00072 | $0.02048 |
| Sonnet 5.5 | $0.00036 | $0.01024 |
| Haiku 4.5 | $0.00018 | $0.00512 |
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 1mo 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 — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Repurposing Engine
Transform any content into platform-optimized outputs across 17+ channels.
Quick Reference
| Command | Description |
|---|---|
/repurpose <url-or-file> |
Full repurpose pipeline (all platforms) |
/repurpose <input> --platforms twitter,linkedin |
Repurpose to specific platforms only |
/repurpose <input> --voice casual |
Override brand voice (casual/professional/witty) |
/repurpose <input> --brief |
Quick mode: 1 post per platform, no calendar |
/repurpose <input> --images |
Generate image prompts (or /banana images if available) |
/repurpose analyze <input> |
Atomize content only, no platform outputs |
/repurpose calendar <input> |
Generate 7-day publishing calendar only |
Step 1: Input Detection
Detect the input type and extract raw content accordingly.
Detection patterns (check in order):
| Pattern | Type | Extraction Method |
|---|---|---|
youtube\.com/watch|youtu\.be/|youtube\.com/shorts |
YouTube video | Run scripts/extract_transcript.py <url> |
https?:// (any other URL) |
Blog/article | Run scripts/extract_article.py <url> |
Path ending in .mp3, .wav, .m4a, .ogg, .flac |
Audio file | Run scripts/transcribe_audio.py <path> |
Path ending in .md, .txt, .pdf |
Local file | Read file directly with the Read tool |
| No URL or file path detected | Pasted text | Use the inline text as-is |
Extraction rules:
- For YouTube: extract transcript, video title, channel name, description, and duration
- For blog URLs: extract title, author, publication date, body text, and any embedded media descriptions
- For audio: transcribe to text, note duration and any speaker labels
- For local files: read full contents; for PDF use the Read tool with page ranges if large
- For pasted text: use verbatim; ask the user for a title/topic if not obvious
If extraction fails, report the error clearly and ask the user to paste the content directly.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/engagement-benchmarks.md 7.2 KB
- references/hook-formulas.md 9.5 KB
- references/image-sourcing.md 7.0 KB
- references/mistakes-to-avoid.md 4.0 KB
- references/platform-specs.md 7.3 KB
- references/poll-strategy.md 4.2 KB
- references/repurposing-frameworks.md 8.1 KB
- references/voice-adaptation.md 8.5 KB
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.
- 1mo ago First seen · 465 lines · 179 tokens per session scan A 838700c169b9
repurpose is a skill published in the GitHub repository AgriciDaniel/claude-repurpose (162 stars, last pushed 6mo ago), licensed MIT. It adds 179 tokens to every session and 5,120 once invoked, about $0.0007 per session on Opus 5.5. 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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