market-research

market-research is a skill for Claude Code, Codex from JunMystery/Agent-Guidance-Python. It costs 50 tokens per session (447 once invoked), scanned A, a copy of market-research, MIT.

A research workflow for investigating markets, competitors, investors, and industry trends using cited sources and decision-focused summaries.

In plain words
What is it for?
Use it for market sizing, competitor comparisons, investor or fund research, technology scans, and testing a business idea before building or investing.
Why use it?
It helps separate verified facts from assumptions, surface risks and opposing evidence, and turn scattered research into a business decision.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/junmystery/agent-guidance-python/market-research
Any agent
npx skills add JunMystery/Agent-Guidance-Python --skill market-research
Clone the repo
git clone --depth 1 https://github.com/JunMystery/Agent-Guidance-Python

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/junmystery/agent-guidance-python/market-research.svg)](https://agentmods.dev/skills/junmystery/agent-guidance-python/market-research)
Your own site
<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/market-research"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/market-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 447 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 92% copy Near-identical to another mod 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 $0.00050 $0.00447
Opus 5 $0.00025 $0.00224
Sonnet 5 $0.00010 $0.00089
Haiku 4.5 $0.00005 $0.00045

Measured yesterday against content hash 7ef3fa13d627, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 yesterday.

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.

Origin

This is a copy

92% identical to market-research — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/market-research/SKILL.md · 76 lines

What it actually says

Market Research

Produce research that supports decisions, not research theater.

When to Activate

  • researching a market, category, company, investor, or technology trend
  • building TAM/SAM/SOM estimates
  • comparing competitors or adjacent products
  • preparing investor dossiers before outreach
  • pressure-testing a thesis before building, funding, or entering a market

Research Standards

  1. Every important claim needs a source.
  2. Prefer recent data and call out stale data.
  3. Include contrarian evidence and downside cases.
  4. Translate findings into a decision, not just a summary.
  5. Separate fact, inference, and recommendation clearly.

Common Research Modes

Investor / Fund Diligence

Collect:

  • fund size, stage, and typical check size
  • relevant portfolio companies
  • public thesis and recent activity
  • reasons the fund is or is not a fit
  • any obvious red flags or mismatches

Competitive Analysis

Collect:

  • product reality, not marketing copy
  • funding and investor history if public
  • traction metrics if public
  • distribution and pricing clues
  • strengths, weaknesses, and positioning gaps

Market Sizing

Use:

  • top-down estimates from reports or public datasets
  • bottom-up sanity checks from realistic customer acquisition assumptions
  • explicit assumptions for every leap in logic

Technology / Vendor Research

Collect:

  • how it works
  • trade-offs and adoption signals
  • integration complexity
  • lock-in, security, compliance, and operational risk

Output Format

Default structure:

  1. executive summary
  2. key findings
  3. implications
  4. risks and caveats
  5. recommendation
  6. sources

Quality Gate

Before delivering:

  • all numbers are sourced or labeled as estimates
  • old data is flagged
  • the recommendation follows from the evidence
  • risks and counterarguments are included
  • the output makes a decision easier
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. yesterday First seen · 76 lines · 50 tokens per session scan A 7ef3fa13d627

Subscribe to this mod's changes

market-research is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 447 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to market-research, differing in 1 line, and is treated as a copy.

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