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 NickCrew/Claude-Cortex --skill mashupgit clone --depth 1 https://github.com/NickCrew/Claude-CortexWrote 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/nickcrew/claude-cortex/mashup)<a href="https://agentmods.dev/skills/nickcrew/claude-cortex/mashup"><img src="https://agentmods.dev/badge/skills/nickcrew/claude-cortex/mashup.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 5.1 | $0.00015 | $0.00342 |
| Opus 5 | $0.00008 | $0.00171 |
| Sonnet 5 | $0.00003 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
mashup 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 3d 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
/collaboration:mashup
Use when you want fresh UX/GT ideas by blending unrelated domains.
Inputs
- Topic/problem
- Domains to borrow from (flags or let it randomize)
- Any constraints to respect
Steps
- Pick 2–3 orthogonal domains (fintech, gaming, health, etc.).
- Lift 1–2 patterns per domain (loyalty loops, streaks, rituals, marketplace dynamics).
- Create 3 mashup concepts with user journey sketch, differentiator, risk, first experiment.
- Label one bold bet and one safe bet.
- Hand off to
/ctx:planor add Tasks for the experiments.
Output Template
### Domains & Patterns
### Mashup Concepts (3)
- Concept … (journey, differentiator, risk, first experiment)
### Bold Bet / Safe Bet
### Next Experiments
Pairings
- Combine with
/collaboration:assumption-busterto widen the idea pool. - Use
/collaboration:concept-forgeto score the mashups.
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.
- 3d ago First seen · 49 lines · 15 tokens per session scan A a5e1397faad1
mashup is a skill published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 342 once invoked, about $0.0001 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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