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 ItamarZand88/awesome-agent-conventions --skill content-repurposergit clone --depth 1 https://github.com/ItamarZand88/awesome-agent-conventionsWrote 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/itamarzand88/awesome-agent-conventions/content-repurposer)<a href="https://agentmods.dev/skills/itamarzand88/awesome-agent-conventions/content-repurposer"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/content-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/itamarzand88/awesome-agent-conventions/content-repurposer"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/content-repurposer.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 | $0.00000 | $0.00858 |
| Opus 5 | $0.00000 | $0.00429 |
| Sonnet 5 | $0.00000 | $0.00172 |
| Haiku 4.5 | $0.00000 | $0.00086 |
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 11d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: content-repurposer description: "Turn one piece of content into a full multi-platform pack — X/Twitter thread, LinkedIn post, newsletter section, Instagram carousel, and a short-form video script — each rewritten natively for its platform, not copy-pasted. Use when asked to repurpose content, atomize a blog post or video, turn one idea into many posts, or get more mileage from a piece. Produces ready-to-post drafts per platform with hooks, formatting, and CTAs tuned to each."
Content Repurposer Skill
Creators don't have a content problem — they have a distribution problem. One good idea should become a week of posts. This skill atomizes a single source (a blog post, video transcript, newsletter, or raw notes) into platform-native drafts — each one rewritten for how people actually read on that platform, never just truncated.
Working from a brief
Given a source (or a rough topic), produce the full pack anyway — pull the core insight and reshape it per platform. If the source is thin, extract the strongest single idea and build around it. Mark any invented stat/example (assumed — replace). Never output the same text five times with different line breaks.
Required Inputs
Ask for (if not already provided):
- The source — paste the blog/transcript/newsletter, a URL, or the core idea
- Platforms wanted (default: all five below)
- Voice (or pull from a [[creator-brand-kit]] if one exists) and the CTA / goal (subscribe, follow, buy, reply)
Output Format
Lead with The core idea in one sentence (everything else ladders to it). Then, per platform:
🧵 X/Twitter thread
A scroll-stopping hook tweet, then 5–9 tweets each carrying one beat, a final CTA tweet. Tight, line-broken, no fluff.
💼 LinkedIn post
A hook line + short-paragraph body (whitespace-heavy), a concrete takeaway, a soft CTA / question to drive comments. No hashtag spam (3–5 max).
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.
- 11d ago First seen · 59 lines · 0 tokens per session scan A 6b9c951322a3
content-repurposer is a skill published in the GitHub repository ItamarZand88/awesome-agent-conventions (31 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 858 tokens. 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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