startup-validator

startup-validator is a skill for Claude Code, Codex from ailabs-393/ai-labs-claude-skills. It costs 102 tokens per session (2,306 once invoked), scanned A, original, MIT.

A workflow for evaluating a startup idea through market research, competitor analysis, problem validation, and positioning. A startup is a new business built around a proposed product or service.

In plain words
What is it for?
Use it to assess market opportunity, competitive alternatives, problem-solution fit, market positioning, and the questions that should guide further research.
Why use it?
It helps test whether an idea addresses a real problem, has potential customers, and can be distinguished from existing alternatives before major effort is invested.

Skill for Claude CodeCodex

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

Good fit Use it to assess market opportunity, competitive alternatives, problem-solution fit, market positioning, and the questions that should guide further research.

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Install with agentmods
npx agentmods add skills/ailabs-393/ai-labs-claude-skills/startup-validator
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 ailabs-393/ai-labs-claude-skills --skill startup-validator
Clone the repo
git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-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 startup-validator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/startup-validator/github.svg)](https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/startup-validator)
Your own site
<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/startup-validator"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/startup-validator/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 startup-validator

Your own site · 80×15
<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/startup-validator"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/startup-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,306 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk warn 15 Feb 2026
How audits are shown
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 $0.00102 $0.02306
Opus 5 $0.00051 $0.01153
Sonnet 5 $0.00020 $0.00461
Haiku 4.5 $0.00010 $0.00231

Measured 12d ago against content hash 6ae854a0f595, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

startup-validator 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.

The scan reads SKILL.md. This mod also ships 2 executable files (index.js, scripts/market_analyzer.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

packages/skills/startup-validator/SKILL.md · 366 lines

How it starts

The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Startup Validator

A comprehensive tool for analyzing startup ideas through systematic market research, competitive analysis, problem validation, and positioning strategy. This skill helps evaluate whether a startup idea has genuine market potential and how to position it effectively.

Core Workflow

When a user presents a startup idea, follow this systematic validation process:

1. Idea Clarification & Scoping (2-3 minutes)

Ensure complete understanding before research begins:

Extract key information:

  • Problem being solved
  • Target customer/market
  • Proposed solution
  • Business model (if mentioned)
  • Geographic focus (default: global/US)

Ask clarifying questions only if critical information is missing:

  • "Who specifically is your target customer?"
  • "What problem are they currently facing?"
  • "How are they solving this problem today?"

Do not ask for information you can research independently (market size, competitors, trends).

2. Research Plan Development (1 minute)

Based on the idea, create a research plan identifying:

  • Market size queries needed
  • Competitor research keywords
  • Problem validation searches
  • Trend analysis topics
  • Pricing/business model research

Use templates from references/research_templates.md for query formulation.

3. Comprehensive Market Research (10-15 tool calls minimum)

Execute systematic research across all dimensions. Always use at least 10-15 web searches to ensure thorough analysis.

A. Market Opportunity (3-5 searches)

Search for:

  • Market size and projections
  • Growth rates and trends
  • TAM/SAM calculations
  • Industry reports and forecasts

Query examples:

  • "[industry] market size 2025"
  • "global [product category] market forecast"
  • "[industry] growth rate CAGR"
B. Competitive Landscape (3-5 searches)

Search for:

  • Direct competitors
  • Alternative solutions
  • Market leaders
  • Recent funding/acquisitions

Query examples:

  • "[solution type] companies"
  • "[product category] alternatives"
  • "best [product type] 2025"
  • "[industry] startups funding"

Read the full file on GitHub · 366 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 366 lines · 102 tokens per session scan A 6ae854a0f595

Subscribe to this mod's changes

startup-validator is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (445 stars, last pushed 10mo ago), licensed MIT. It adds 102 tokens to every session and 2,306 once invoked, about $0.0005 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 2026-08-30.

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