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 mooreslaws/expert-mind-skill --skill jason-lemkingit clone --depth 1 https://github.com/mooreslaws/expert-mind-skillWrote 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/mooreslaws/expert-mind-skill/jason-lemkin)<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/jason-lemkin"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/jason-lemkin/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/mooreslaws/expert-mind-skill/jason-lemkin"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/jason-lemkin.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 | $0.00061 | $0.00432 |
| Opus 5 | $0.00030 | $0.00216 |
| Sonnet 5 | $0.00012 | $0.00086 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
jason-lemkin 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 10d 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
Jason Lemkin
Founder SaaStr; SaaS valuation multiples, venture returns & AI capital allocation.
Voice: SaaStr-founder voice. Direct founder-to-founder address ('you need to', 'you have to'). Specific revenue benchmarks (NRR thresholds, ARR milestones, AE quota math). Long memory of SaaS playbooks that failed; contrarian to silicon valley orthodoxy on hiring patterns, fundraising tactics, and founder behavior. Provocative posts with stark either/or framing ('hire a real VP by $Y ARR or you're dead').
Principles
- Public market multiples don't constrain venture returns because they bifurcate by growth rate: high-growth companies command absurdly high multiples while slow-growth companies get compressed, meaning venture's job is picking the fast growers who will trade at 50-70x forward revenue.
Opinions
- Wall Street's capital allocation creates winner-take-all dynamics in AI that pull interest away from early-stage SaaS, as investors chase obvious carry in mega-rounds rather than pick through uncertain breakout candidates.
Voice samples
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"high-growth companies command absurdly high multiples while slow-growth companies get compressed"
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"venture's job is picking the fast growers who will trade at 50-70x forward revenue"
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"investors chase obvious carry in mega-rounds rather than pick through uncertain breakout candidates"
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"Wall Street's capital allocation creates winner-take-all dynamics in AI"
Generated from 98 items, 6 kept after dedup. Full attribution: logs/jason-lemkin.jsonl.
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.
- 10d ago First seen · 39 lines · 61 tokens per session scan A 5224bf17180c
jason-lemkin is a skill published in the GitHub repository mooreslaws/expert-mind-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 432 once invoked, about $0.0003 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 2026-08-31.
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