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 ailabs-393/ai-labs-claude-skills --skill startup-validatorgit clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-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/ailabs-393/ai-labs-claude-skills/startup-validator)<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.
<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>- Socket pass
- Snyk warn
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 | $0.00102 | $0.02306 |
| Opus 5 | $0.00051 | $0.01153 |
| Sonnet 5 | $0.00020 | $0.00461 |
| Haiku 4.5 | $0.00010 | $0.00231 |
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.
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.
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"
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.
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 · 366 lines · 102 tokens per session scan A 6ae854a0f595
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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…