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-opportunity-mappinggit 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-opportunity-mapping)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-opportunity-mapping"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-opportunity-mapping/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-opportunity-mapping"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-opportunity-mapping.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 | $0.00115 | $0.03525 |
| Opus 5.5 | $0.00046 | $0.01410 |
| Sonnet 5.5 | $0.00023 | $0.00705 |
| Haiku 4.5 | $0.00012 | $0.00352 |
Grade A, and why
stelow-product-opportunity-mapping 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 14d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opportunity Mapping
A skill for generating structured strategic analyses that surface opportunities and ranked solutions from any business, product, or organizational input. Output is formatted in Markdown, ready to read and render anywhere.
Interaction Tool Guidelines
IMPORTANT: When the user needs to choose between predefined options, ALWAYS ask through the portable ask contract (../stelow-workflow-orchestrator/references/cli-tools/ask.md — host-native question tool, else stelow ask, else enumerated text) with enumerated format:
- Options with short
labelanddescription - Examples: input confirmation, analysis type, next steps, etc.
Required Input
- Ask the user for their inputs (via the portable ask contract in
../stelow-workflow-orchestrator/references/cli-tools/ask.md):<USER INPUT>(required): The core problem, idea, pain point, or strategic question.<PRODUTOS ATUAIS PARA CLIENTES EXTERNOS>(optional): Current external-facing products or services — used to inspire integration or expansion ideas.<ORGANIZATION CURRENT INTERNAL TOOLS>(optional): Internal tools/platforms — used only when the input relates to internal organizational changes.- Always include option: "I want you to recommend based on context"
Evidence Policy
Treat the user's input as primary. When an opportunity ranking depends on external market, competitor, regulatory, or trend claims that the user did not supply, gather and report that evidence through the shared web-research contract (../stelow-workflow-orchestrator/references/cli-tools/web-research.md). Skip research when it would not change the recommendation; mark any remaining unsupported assumptions as low-confidence.
What This Skill Produces
For each analysis, the output includes:
- Minimum 3 opportunities identified from the input (marked ✨ if derived from input, 💡 if proactively spotted)
- Ranked opportunities (🥇 🥈 🥉) using Evolutionary Prioritization Criteria
- Minimum 4 solutions per opportunity, each with:
- Time Appetite (2, 4, or 6 weeks)
- Scope, trade-offs (in scope vs. out of scope)
- Growth strategy (Differentiated, Dominant, Sustainable, Discrete, or Disruptive)
- Value areas addressed
- Future leverage and new use case potential
- Assumptions (desirability, viability, usability)
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.
- 14d ago Changed · +6 lines b775dfb06f91
- 1mo ago Changed · +6 lines 3b562aed1d1f
- 1mo ago Changed · +24 lines 36e0805ad7cc
- 1mo ago Changed · +9 lines ab517206c6ed
- 1mo ago Changed 7c032f49479c
- 1mo ago Changed · +24 lines 4dfc2e5b5b2d
- 2mo ago Changed · -4 lines e72c35deadbc
- 2mo ago First seen · 265 lines · 115 tokens per session scan A 1bd4a9ee8407
stelow-product-opportunity-mapping is a skill published in the GitHub repository calionauta/stelow (14 stars, last pushed 9d ago), licensed MIT. It adds 115 tokens to every session and 3,525 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 2026-08-30.
stelow-product-opportunity-mapping compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stelow-product-opportunity-mappingcalionauta/stelow | Skill | 14 | 9d ago | MIT | A | 115 | Claude Code |
| 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 |