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-multi-method-market-analysisgit 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-multi-method-market-analysis)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-multi-method-market-analysis"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-multi-method-market-analysis/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-multi-method-market-analysis"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-multi-method-market-analysis.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 | $0.00106 | $0.02385 |
| Opus 5 | $0.00053 | $0.01192 |
| Sonnet 5 | $0.00021 | $0.00477 |
| Haiku 4.5 | $0.00011 | $0.00238 |
Grade A, and why
stelow-product-multi-method-market-analysis 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 3d 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 — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Method Market Analysis
A skill for producing rigorous, structured market analysis using multiple complementary methodologies. Two prompt variants are available depending on the user's goal.
Interaction Tool Guidelines
IMPORTANT: When the user needs to choose between predefined options, ALWAYS use the question tool (if available) with enumerated format:
- Options with short
labelanddescription - Examples: variant selection (General Deep/Weekly Intelligence), topic confirmation, geographic focus, etc.
When question tool is not available, use enumerated text in chat (A/B/C/D or 1/2/3).
When to Use Each Variant
- General Deep Analysis: For broad, timeless strategic studies of a topic, market, or industry over time horizons (past → present → future 5 years).
- Weekly Intelligence Canvas: For fast-moving, 7-day competitive intelligence reports. Works best with real-time search tools (e.g., Grok, Perplexity, or Claude with web search).
Variant 1: General Deep Market Analysis
Use this when the user wants a comprehensive, methodologically rigorous study of a topic across time.
Prompt Template
Study Topic: [FILL IN]
Focus on: [Enter 'Global' or the specific country/region name here]
Goal: Conduct a DEEP market analysis of the study topic.
Cover [Focus on] insights in English.
Methodologies: Use the following methodologies with in-depth details:
- PESTLE
- Foresight (Weak and Strong Signals)
- Delphi
- Wardley Maps
Organize the analysis into:
- Recent Past (1 year ago)
- Current Trends (Today to 1 year)
- Future Predictions (Next 5 years)
How to Apply
- Ask the user for their inputs (if not already provided, via the portable ask contract in
../stelow-workflow-orchestrator/references/cli-tools/ask.md):- Confirm:
- Variant: "General Deep Analysis" (broad strategic study) or "Weekly Intelligence Canvas" (7-day competitive intelligence)
- Study Topic: The market, industry, or topic to analyze
- Geographic Focus: "Global" or specific country/region
- Always include option: "I want you to recommend based on context"
- Fallback (no question tool at all): "What would you like to analyze? (variant: General Deep or Weekly Intelligence, topic: [your topic], focus: Global or [region])"
- Confirm:
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.
- 3d ago Changed · +22 lines 8648b5e4c179
- 12d ago First seen · 278 lines · 106 tokens per session scan A c9053b3b4725
stelow-product-multi-method-market-analysis is a skill published in the GitHub repository calionauta/stelow (10 stars, last pushed today), licensed MIT. It adds 106 tokens to every session and 2,385 once invoked, about $0.0005 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 2026-08-30.
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