p0-market

p0-market is a command for coding agents from jonase47/ccpr. It costs 0 tokens per session (1,102 once invoked), scanned A, original, MIT.

A command that makes an initial assessment of a market, including customer demand, competitors, and rough business viability.

In plain words
What is it for?
Use it to assess a chosen industry or market segment, or derive the segment from the project's problem and target audience documents.
Why use it?
It provides evidence for an early go-or-no-go decision before substantial work is invested in an idea.

Command

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 commands/jonase47/ccpr/p0-market
Clone the repo
git clone --depth 1 https://github.com/jonase47/ccpr

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 p0-market

README.md
[![agentmods](https://agentmods.dev/badge/commands/jonase47/ccpr/p0-market.svg)](https://agentmods.dev/commands/jonase47/ccpr/p0-market)
Your own site
<a href="https://agentmods.dev/commands/jonase47/ccpr/p0-market"><img src="https://agentmods.dev/badge/commands/jonase47/ccpr/p0-market.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,102 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01102
Opus 5 $0.00000 $0.00551
Sonnet 5 $0.00000 $0.00220
Haiku 4.5 $0.00000 $0.00110

Measured yesterday against content hash 546aa76f8fb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

p0-market 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.

commands/p0-market.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/p0-market – Market Assessment & Competition Overview

Delivers a first market assessment: Is there demand? Who are the competitors? Is the idea roughly viable economically? The result is an overview needed for the Go/No-Go Decision at Gate 0.

Argument: $ARGUMENTS = [Industry / market segment]

If provided: Use as the focus for the market research (e.g. "E-Health", "B2B-SaaS", "local trades"). If not provided: Read DISCOVERY.md (problem statement and Target Audience) and derive the industry from it. If DISCOVERY.md is also missing, ask for the market segment.

Execution

1. Read Context

Read docs/discovery/DISCOVERY.md (phase index) and docs/discovery/PROBLEM.md (detail file from /p0-problem) to understand the problem statement and Target Audience. This information is essential for a meaningful market assessment.

2. Delegate to konzeptor Agent (Lead)

Delegate the structuring and evaluation to the konzeptor agent:

Create a first market assessment for the segment: $ARGUMENTS Context from PROBLEM.md: [Insert problem statement, Target Audience]

Work out:

  1. Market Size (Rough estimate: How many potential customers/users are there?)
  2. Demand Indicators (Are there signs of genuine need? Search volume, forums, existing solutions?)
  3. Competition Overview (3–5 direct or indirect competitors with a brief assessment)
  4. Differentiation Potential (Where could a new solution do better?)
  5. First Economic Assessment (Is there a business here? Rough willingness to pay?)

3. Delegate to business-analyst Agent (Support)

Delegate the economic assessment in parallel or afterwards to the business-analyst agent:

Supplement the konzeptor's market assessment with:

  1. Rough market size in euros (TAM/SAM if possible, otherwise qualitative estimate)
  2. Typical willingness to pay in this segment
  3. First assessment: Is this economically worthwhile – why yes/no?

4. Write Detail File

Write the result to docs/discovery/MARKET.md (overwrite if it exists). Start with this YAML frontmatter:

Read the full file on GitHub · 85 lines

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 Changed · +3 lines 546aa76f8fb2
  2. 4d ago First seen · 82 lines · 0 tokens per session scan A 67edf897ce68

Subscribe to this mod's changes

p0-market is a command published in the GitHub repository jonase47/ccpr (1 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,102 tokens. 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.