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 pmf-crossing-the-chasmgit 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/pmf-crossing-the-chasm)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/pmf-crossing-the-chasm"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/pmf-crossing-the-chasm/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/pmf-crossing-the-chasm"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/pmf-crossing-the-chasm.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 | $0.00132 | $0.01980 |
| Opus 5 | $0.00066 | $0.00990 |
| Sonnet 5 | $0.00026 | $0.00396 |
| Haiku 4.5 | $0.00013 | $0.00198 |
Grade A, and why
pmf-crossing-the-chasm 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product-Market Fit and Crossing the Chasm
Overview
Two distinct questions decide early-stage growth: (1) PMF — do enough users love the product they'd be very disappointed without it? (2) Chasm — can you move from early adopters (tolerate rough edges for novelty) into the early majority (need proven, complete, referenceable products)? Both failures look like "low growth" but differ in cause and cure.
Compose: business-model-canvas · lean-startup · first-principles · probabilistic-thinking
When to Use
Apply when: early traction exists but PMF is unconfirmed; growth stalls after initial good period; deciding next segment; NPS positive but usage flat; an AI-native product loved by developer/early-adopter users stalls at enterprise adoption despite the AI-capex race and frontier-model gains. Not when: no users yet (lean-startup); already-mainstream business scaling proven channels; issue is pricing/sales-process not chasm.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has data → run the PMF + Chasm Audit directly.
- Coach mode: user is unfamiliar or has no concrete case → 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: (a) PMF = do users love it enough to be very disappointed without it? (b) Chasm = can you move from early adopters (tolerate rough edges) to early majority (need proven, complete, referenceable)? Solved differently.
- Check fit: no users yet → lean-startup. Already-mainstream business → wrong framework.
- Which segment are you selling to today? Name early adopters vs. early majority concretely.
[WAIT — do not advance until user responds]
- Run PMF measurement (Ellis Test). Only after PMF confirmed, raise chasm.
[WAIT — do not advance until user responds]
- Name the right next move: "fix product first" or "here is the specific whole-product gap blocking the next segment."
[WAIT — do not advance until user responds]
What ships with it
3 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 · 125 lines · 132 tokens per session scan A b30c8f75e065
pmf-crossing-the-chasm is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 132 tokens to every session and 1,980 once invoked, about $0.0007 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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