market-research

market-research is a skill for Claude Code, Codex from spiralcrew-ou/profilespider-agent-skills. It costs 38 tokens per session (406 once invoked), scanned A, original, MIT.

A workflow for studying a dataset of companies or profiles to find recurring market groups and patterns. It reports dominant and underserved categories, gaps, emerging patterns, counts, proportions, and limitations.

In plain words
What is it for?
Use it to analyze scraped company data, identify natural segments, find concentrated or underserved areas, and test hypotheses about industry, size, or geography.
Why use it?
Looking at the whole dataset can reveal patterns that individual company summaries miss. It also records source bias and avoids treating unsupported assumptions as market facts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyze scraped company data, identify natural segments, find concentrated or underserved areas, and test hypotheses about industry, size, or geography.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/spiralcrew-ou/profilespider-agent-skills/market-research
Install

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.

Any agent
npx skills add spiralcrew-ou/profilespider-agent-skills --skill market-research
Clone the repo
git clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for market-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/market-research/github.svg)](https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/market-research)
Your own site
<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.

agentmods 80×15 button for market-research

Your own site · 80×15
<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>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 406 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00406
Opus 5.5 $0.00015 $0.00162
Sonnet 5.5 $0.00008 $0.00081
Haiku 4.5 $0.00004 $0.00041

Measured 2mo ago against content hash efc553e51c1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

market-research/SKILL.md · 80 lines

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

  1. Analyze the whole dataset, not a convenient subset.
  2. Report counts and proportions where possible.
  3. Do not over-generalize beyond what the data supports.
  4. State source skew and limitations.
  5. Separate observed patterns from speculation.

Process

  1. Profile the dataset structure and fields.
  2. Identify recurring characteristics and categories.
  3. Derive natural segments.
  4. Identify gaps and emerging patterns.
  5. 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.
Changes

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.

  1. 2mo ago First seen · 80 lines · 38 tokens per session scan A efc553e51c1b

Subscribe to this mod's changes

market-research is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (11 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 406 once invoked, about $0.0002 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 2026-08-31.

Related

market-research compared with skills from other repositories

market-research next to 6 skills from other repositories
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