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 deciqAI/knowledge-skills --skill mvpgit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/mvp)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/mvp"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/mvp/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/deciqai/knowledge-skills/mvp"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/mvp.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 | $0.00113 | $0.02244 |
| Opus 5 | $0.00056 | $0.01122 |
| Sonnet 5 | $0.00023 | $0.00449 |
| Haiku 4.5 | $0.00011 | $0.00224 |
Grade A, and why
mvp 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minimum Viable Product
Overview
An MVP is not a small version of your product — it is a test instrument: the smallest artifact that produces trustworthy evidence about one specific demand-side assumption, with the least possible investment. Success criterion is learning per dollar, not features per dollar.
Coined by Frank Robinson (SyncDev, 2001); operationalized by Eric Ries (The Lean Startup, 2011, p. 77) — sometimes the artifact has no software at all. Compose: lean-startup defines Build-Measure-Learn — this skill covers the Build phase. Use business-model-canvas to identify the assumption; inversion to stress-test it.
When to Use
- Scoping a build and need to decide what minimum produces trustworthy evidence
- "MVP" is being used to mean "small version of the real product" (this skill corrects that)
- Engineers are building for months on an unvalidated assumption
- Choosing between concierge / Wizard-of-Oz / smoke test / video / single-feature / paid pilot
- AI made building cheap and you're about to "just build the whole thing" — vibe-coded a prototype in a weekend but can't name the assumption it tests
When NOT to use: already have PMF (question is scaling); delivering a contractual obligation; already ran the right MVP and got a clear result.
Coaching Novices (Adaptive Front Door)
- Engine mode: specific assumption → pick type, set metric, scope the build.
- Coach mode: no assumption or signals unfamiliarity → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-line what-it-is: an MVP is the smallest test instrument for one specific assumption, not a small product.
- Check fit against When to Use / When NOT to use. If scaling a validated product, redirect.
- Elicit their real assumption. Without one, "MVP" is just "small version."
[WAIT — do not advance until user responds]
- Walk through MVP type selection, metric specification, time-box — one step at a time with their input.
[WAIT — do not advance until user responds]
- Close by naming the time-box (1–4 weeks), the pre-committed metric, and the disposability commitment.
[WAIT — do not advance until user responds]
What ships with it
4 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.
- 9d ago First seen · 128 lines · 113 tokens per session scan A 0fdc155cae13
mvp is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 113 tokens to every session and 2,244 once invoked, about $0.0006 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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