Lenny Skills is a collection of product-management and engineering workflows for Claude Code and other AI agents, covering areas such as strategy, research, planning, shipping, growth, and hiring. Each skill gives an agent specialized guidance, frameworks, checklists, or templates for product work, and the catalogue contains many of these skills.
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 RefoundAI/lenny-skills --skill marketplace-liquidity-take-ratesgit clone --depth 1 https://github.com/RefoundAI/lenny-skillsWrote 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/refoundai/lenny-skills/marketplace-liquidity-take-rates)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/marketplace-liquidity-take-rates"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/marketplace-liquidity-take-rates/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/refoundai/lenny-skills/marketplace-liquidity-take-rates"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/marketplace-liquidity-take-rates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01510 |
| Opus 5 | $0.00019 | $0.00755 |
| Sonnet 5 | $0.00008 | $0.00302 |
| Haiku 4.5 | $0.00004 | $0.00151 |
Grade A, and why
marketplace-liquidity-take-rates 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- marketplace-liquidity-take-rates — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketplace Liquidity and Take Rates
Optimize the balance between transaction reliability and monetization to build a defensible ecosystem.
Help the user with marketplace liquidity and take rates using insights from 6 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Define Liquidity - Replace the ambiguous term 'liquidity' with specific, measurable signals like fill rate and time-to-match.
- Calculate Take Rate - Establish a baseline take rate based on whether the product is a tool-first platform or a demand-generating marketplace.
- Monitor Health - Use a gardener mindset to watch for downstream ripple effects when adjusting fees or incentives.
- Strategic Benchmarking - Compare take rates against category-specific benchmarks while accounting for the level of operational ease provided.
Core Principles
Adopt a gardener mindset
Dan Hockenmaier: "For a marketplace, you're like messing with this ecosystem that you don't actually really understand how it works. And sometimes you might do something over here which drives this long-term effect two months later, and then you're going to be pulling your hair out two months later trying to figure out what you did over here that made that thing happen."
Marketplace health depends on complex interactions where small changes cause delayed ripple effects. Leaders should use a light touch and monitor downstream impacts for months after making changes.
Calculate take rate as a function of value
From "Choosing a take rate": "Differences in take rates are primarily driven by three factors: (1) whether you can drive new demand, (2) how much convenience you provide the seller, and (3) the level of competition in the market."
Your fee should reflect the new demand you generate and the operational ease you provide. Start with a 10% baseline for platforms and 20% for marketplaces, then adjust based on product value.
The friction-growth trade-off
From "Choosing a take rate": "The most dangerous strategy for any platform company is to price too high – to charge a greedy and overzealous rake that could serve to undermine the whole point of having a platform in the first place."
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.
- 13d ago First seen · 94 lines · 39 tokens per session scan A 20c0efc8e37a
marketplace-liquidity-take-rates is a skill published in the GitHub repository RefoundAI/lenny-skills (1,321 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,510 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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