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 krillinai/growth-skills --skill product-market-fit-assessmentgit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/product-market-fit-assessment)<a href="https://agentmods.dev/skills/krillinai/growth-skills/product-market-fit-assessment"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/product-market-fit-assessment/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/krillinai/growth-skills/product-market-fit-assessment"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/product-market-fit-assessment.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 | $0.00036 | $0.01922 |
| Opus 5.5 | $0.00014 | $0.00769 |
| Sonnet 5.5 | $0.00007 | $0.00384 |
| Haiku 4.5 | $0.00004 | $0.00192 |
Grade A, and why
product-market-fit-assessment 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 2mo 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product-Market Fit & Journey
Reuse Growth Context
At the start, read .agents/growth-context.md when it exists. Reuse only product, customer, market, outcome, constraint, evidence, and routing fields whose scope, definition, source, and date remain compatible; state what is reused and surface conflicts or staleness before asking for decision-changing gaps. The file grants no system access or execution authority, and this Skill must not silently rewrite the primary diagnosis.
Integrated Capabilities
This Skill consolidates adjacent workflows behind one trigger. Use the main workflow for core requests. When a request matches a module below, read that module before executing it:
Assess whether a defined market repeatedly receives meaningful value from a product and whether the surrounding channel and business system can support the intended decision. Treat PMF as a bounded, revisable judgment supported by an evidence stack, not a company badge, survey threshold, retention curve, revenue milestone, or synthetic score.
Read fit-contract.md before collecting or interpreting evidence. Read assessment-methods.md before assigning maturity, evaluating a must-have survey, reconciling Four Fits, or recommending expansion. Read output-contract.md before delivery. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
assessment |
Evaluate a current fit claim from supplied compatible evidence |
measurement |
Define a decision-ready evidence plan when usable product or private evidence is missing |
revalidation |
Reassess fit after a segment, market, product, promise, model, channel, price, cost, competition, regulation, or expectation changes |
Name one primary mode and the decision it serves. Public evidence may support a draft fit unit and measurement plan, but cannot establish private customer behavior, survey results, economics, or distribution quality.
What ships with it
12 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.
- agents/openai.yaml 271 B
- evals/evals.json 55 KB
- references/assessment-methods.md 5.6 KB
- references/fit-contract.md 4.2 KB
- references/modules/customer-journey-analysis/references/governance-market-and-actions.md 8.1 KB
- references/modules/customer-journey-analysis/references/journey-contract-and-roles.md 6.9 KB
- references/modules/customer-journey-analysis/references/output-contract.md 9.0 KB
- references/modules/customer-journey-analysis/references/paths-blueprint-friction-and-measurement.md 10 KB
- references/modules/customer-journey-analysis/references/playbook-sources.md 3.2 KB
- references/modules/customer-journey-analysis/SKILL.md 14 KB
- references/output-contract.md 3.1 KB
- references/playbook-sources.md 1.5 KB
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.
- 2mo ago First seen · 107 lines · 36 tokens per session scan A 00a49e88a773
product-market-fit-assessment is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 1,922 once invoked, about $0.0001 per session on Opus 5.5. 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.
product-market-fit-assessment compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| product-market-fit-assessmentkrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 36 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |