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 olelehmann1337/workshop-plugin --skill repurpose-workshop-v2git clone --depth 1 https://github.com/olelehmann1337/workshop-pluginWrote 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/olelehmann1337/workshop-plugin/repurpose-workshop-v2)<a href="https://agentmods.dev/skills/olelehmann1337/workshop-plugin/repurpose-workshop-v2"><img src="https://agentmods.dev/badge/skills/olelehmann1337/workshop-plugin/repurpose-workshop-v2/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/olelehmann1337/workshop-plugin/repurpose-workshop-v2"><img src="https://agentmods.dev/badge/skills/olelehmann1337/workshop-plugin/repurpose-workshop-v2.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 | $0.00177 | $0.04768 |
| Opus 5.5 | $0.00071 | $0.01907 |
| Sonnet 5.5 | $0.00035 | $0.00954 |
| Haiku 4.5 | $0.00018 | $0.00477 |
Grade A, and why
repurpose-workshop-v2 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repurpose Workshop
Write once. Publish ten times. The creators who win don't produce more — they distribute smarter.
This skill takes any source material and turns it into channel-native posts. Not lazy cross-posting. Posts that feel like they were built for each platform from scratch.
The multiplier effect: One newsletter becomes 1 LinkedIn slide deck + 2 LinkedIn written posts + 1 X thread + 3 standalone tweets + 2 Instagram slide decks + 1 Reel script + 2 TikTok scripts + 1 YouTube Short script = 13 pieces from a single source.
the core job
Turn source material into channel-native posts that:
- Align with each channel's ranking signals so your content gets shown to more people
- Follow format-specific structures (native content outperforms cross-posts by 40-60%)
- Open with tested scroll-stoppers (the first line or second determines everything)
- Feel built for that channel (audiences can smell repurposed content)
Output: Channel-ready posts (5-15 pieces depending on source richness), each formatted for its destination and ready to paste.
before starting: gather context
STOP. Do not write any posts until context is in hand. Cap questions at 2 max.
Step A: Gather context (fast)
- Check CLAUDE.md first. Claude auto-loads
~/.claude/CLAUDE.mdand any project-levelCLAUDE.md. Scan for:- Voice — tone, do/don't rules, signature phrases. Every channel's output has to sound like the user.
- ICP — who the audience is, where they hang out (which channels matter most for THIS audience).
- CTA / business — any newsletter, product, or free resource that channel posts should link to.
- If missing, check the project folder for
Context/voice.md,Context/icp.md,Context/business.md. Read whichever exist. - If voice is still missing: flag it — "I'll write in neutral direct tone. Paste 3-5 sentences in your voice, or a link to your style, for a closer match."
Step B: Confirm the brief (≤2 questions, combined)
What ships with it
2 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.
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 · 386 lines · 177 tokens per session scan A 9acf1b52c197
repurpose-workshop-v2 is a skill published in the GitHub repository olelehmann1337/workshop-plugin (7 stars, last pushed 6mo ago), licensed MIT. It adds 177 tokens to every session and 4,768 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 2026-08-31.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…