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 spiralcrew-ou/profilespider-agent-skills --skill market-researchgit clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-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/spiralcrew-ou/profilespider-agent-skills/market-research)<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/market-research"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/market-research/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/spiralcrew-ou/profilespider-agent-skills/market-research"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/market-research.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 | $0.00038 | $0.00406 |
| Opus 5 | $0.00019 | $0.00203 |
| Sonnet 5 | $0.00008 | $0.00081 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
market-research 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 12d 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.
What it actually says
Market Research
Purpose
Analyze a dataset of companies or profiles to identify market segments and patterns.
When to use this skill
- Understanding a scraped market dataset
- Finding natural segments in a large list
- Spotting dominant and underserved categories
- Sizing where the opportunity concentrates
When not to use this skill
- The dataset is too small to show patterns
- You need statistically rigorous market sizing
- You want per-record actions (use Lead List Analysis)
Required inputs
- A dataset of companies or profiles
Optional inputs
- Dimensions of interest (industry, size, geography)
- A hypothesis to test
Rules
- Analyze the whole dataset, not a convenient subset.
- Report counts and proportions where possible.
- Do not over-generalize beyond what the data supports.
- State source skew and limitations.
- Separate observed patterns from speculation.
Process
- Profile the dataset structure and fields.
- Identify recurring characteristics and categories.
- Derive natural segments.
- Identify gaps and emerging patterns.
- State limitations.
Output format
Return a market analysis with the following fields:
- market_segments
- recurring_characteristics
- dominant_categories
- gaps
- emerging_patterns
- research_limitations
Validation
- Confirm segment claims reflect the data distribution.
- Confirm limitations note any sampling skew.
- Confirm no invented statistics.
Limitations
- Findings describe the supplied dataset, not the whole market.
- Source bias in collection carries into the analysis.
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.
- 12d ago First seen · 80 lines · 38 tokens per session scan A efc553e51c1b
market-research is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 406 once invoked, about $0.0002 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 2026-08-31.
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