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 calionauta/stelow --skill stelow-product-viable-businessgit clone --depth 1 https://github.com/calionauta/stelowWrote 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/calionauta/stelow/stelow-product-viable-business)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-viable-business"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-viable-business/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/calionauta/stelow/stelow-product-viable-business"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-viable-business.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 | $0.00119 | $0.02571 |
| Opus 5.5 | $0.00048 | $0.01028 |
| Sonnet 5.5 | $0.00024 | $0.00514 |
| Haiku 4.5 | $0.00012 | $0.00257 |
Grade A, and why
stelow-product-viable-business 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.
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evolve to a Viable Business
Objective: turn accumulated learning into a sustainable business. Once the problem, the solution and the delivery capability are confirmed, the focus becomes business risk.
The search is not for a final state called "success" but for a dynamic equilibrium between four fits:
(Framing from the article "The Intersection of Fit: Market ∩ Product ∩ Channel ∩ Model".)
- Market-product fit — the product solves a real problem and there is demand.
- Model-market fit — the business model is viable and sustainable in that market.
- Channel-model fit — sales, marketing and delivery channels suit the model.
- Product-channel fit — channels are suitable for selling and delivering the product efficiently.
Synthesize the learning with an evolutionary lens
Turning the valuable manual process into a first version is rarely a straight line. It looks more like crossing a river on stepping stones — each step reveals the best position for the next.
Rather than fixing on a destination, borrow from evolution: it does not follow a predefined objective, it explores what is interesting from the current point. The aim is the most promising stepping stone — the one that opens the largest number of new paths.
Reflection questions for the first version:
- Flexibility and exaptation: does this version allow uses we did not predict? Can it be exapted to solve other problems later?
- Connection potential (solution space): does it serve as a foundation for other features?
- Ecosystem (gene flow): how easily does it connect to the other tools the audience already uses? Will it live well in a larger ecosystem?
- Competitive advantage (local competition): does it position us in a specific niche that is hard to imitate, instead of broad direct competition?
Translate the process into the first stepping stone
With value and commitment risks already mitigated, the decision is what to systematize or automate first. Each choice optimizes a different aspect of the future business.
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 · 277 lines · 119 tokens per session scan A 0da858f76b96
stelow-product-viable-business is a skill published in the GitHub repository calionauta/stelow (14 stars, last pushed 9d ago), licensed MIT. It adds 119 tokens to every session and 2,571 once invoked, about $0.0005 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 2026-10-27.
stelow-product-viable-business compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stelow-product-viable-businesscalionauta/stelow | Skill | 14 | 9d ago | MIT | A | 119 | Claude Code, 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 |