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 jeffreytse/grimoire-core --skill apply-lean-startup-methodologygit clone --depth 1 https://github.com/jeffreytse/grimoire-coreWrote 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/jeffreytse/grimoire-core/apply-lean-startup-methodology)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-lean-startup-methodology"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-lean-startup-methodology/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/jeffreytse/grimoire-core/apply-lean-startup-methodology"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-lean-startup-methodology.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 | $0.00062 | $0.01718 |
| Opus 5 | $0.00031 | $0.00859 |
| Sonnet 5 | $0.00012 | $0.00344 |
| Haiku 4.5 | $0.00006 | $0.00172 |
Grade A, and why
apply-lean-startup-methodology 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 9d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply Lean Startup Methodology
Run the Build-Measure-Learn loop — build the smallest possible product that tests a specific hypothesis, measure whether it produces real validated learning, and decide explicitly whether to pivot or persevere — rather than building a full product on faith before any real usage data exists.
Why This Is Best Practice
Adopted by: Eric Ries developed the methodology from his experience at IMVU; it has since become standard startup-building practice, taught at Y Combinator and Stanford, and credited in the growth of companies including Dropbox (whose MVP was a demo video, not a working product) and Zappos (whose MVP was Nick Swinmurn manually photographing shoes at local stores and fulfilling orders by hand before building any inventory system).
Impact: Ries documented IMVU's own pivot history as the origin case: repeated small, cheap experiments redirected the product away from a doomed initial direction toward one that found real traction, at a fraction of the cost of building the originally planned full feature set. Dropbox's MVP video, rather than a built product, is documented to have grown its beta waitlist from 5,000 to 75,000 signups overnight — validating demand before writing the storage-sync infrastructure.
Why best: This fills a specific gap between two adjacent practices already in use. run-customer-discovery validates that a problem is real and worth solving, then explicitly stops once there are "paying customers and usage data." run-growth-experiment optimizes an existing live product's funnel metrics, assuming real traffic already exists. Neither covers the step in between: what to actually build first, at what scope, and how to measure whether it produced real learning rather than vanity signals — the Build-Measure-Learn loop, with its own vocabulary (MVP types, innovation accounting, the pivot taxonomy) that this bridges.
Sources: Ries, The Lean Startup (2011); Blank, The Four Steps to the Epiphany (2005); documented IMVU, Dropbox, and Zappos case histories.
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.
- 9d ago First seen · 68 lines · 62 tokens per session scan A 35eccce9157a
apply-lean-startup-methodology is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 21d ago), licensed MIT. It adds 62 tokens to every session and 1,718 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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