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 | $0.03039 |
| Opus 5.5 | $0.00042 | $0.01216 |
| Sonnet 5.5 | $0.00021 | $0.00608 |
| Haiku 4.5 | $0.00011 | $0.00304 |
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 11d 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 — 342 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 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: variant selection (General Deep/Weekly Intelligence), topic confirmation, geographic focus, etc.
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.
Evidence Policy
When either variant relies on external market facts rather than context the user supplied, use the shared web-research contract (../stelow-workflow-orchestrator/references/cli-tools/web-research.md). It establishes source quality, recency, coverage, and no-fabrication rules; last30days is complementary when current signals materially affect the analysis.
When a market claim rests on a news item, announcement, or rumor (competitor launch, funding round, "everyone is saying"), run calionauta-news-critical-evaluation at quick depth on it first and carry its Status and Unknowns into the analysis. Treat engagement-ranked social signals as sentiment, not as evidence.
That skill is not bundled here — it is published in the agent-sync-public hub (https://github.com/calionauta/agent-sync-public/tree/main/skills/local/calionauta-news-critical-evaluation). It evaluates one claim, where this skill evaluates a market: use it as an input gate on individual inputs, never as a substitute for the market work. It is most load-bearing for the Weekly Canvas, whose Top Announcements and Delphi sections are exactly news and rumor.
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.
- 11d ago Changed · +4 lines cf5e686b41a0
- 14d ago Changed · +6 lines 4b9cb2f4210d
- 1mo ago Changed 0240ad4696b8
- 1mo ago Changed · +6 lines 3de4c572541a
- 1mo ago Changed · +18 lines cbe987b2cc66
- 1mo ago Changed · +7 lines c36a42f43022
- 1mo ago Changed · +1 lines 4a5760d08136
- 1mo ago Changed · +22 lines 8648b5e4c179
- 2mo 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 (14 stars, last pushed 9d ago), licensed MIT. It adds 106 tokens to every session and 3,039 once invoked, about $0.0004 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-multi-method-market-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stelow-product-multi-method-market-analysiscalionauta/stelow | Skill | 14 | 9d ago | MIT | A | 106 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
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| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |