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.
git clone --depth 1 https://github.com/ashaykubal/essential-agents-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/agents/ashaykubal/essential-agents-skills/product-ideation-idea-validator)<a href="https://agentmods.dev/agents/ashaykubal/essential-agents-skills/product-ideation-idea-validator"><img src="https://agentmods.dev/badge/agents/ashaykubal/essential-agents-skills/product-ideation-idea-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/agents/ashaykubal/essential-agents-skills/product-ideation-idea-validator"><img src="https://agentmods.dev/badge/agents/ashaykubal/essential-agents-skills/product-ideation-idea-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00057 | $0.02136 |
| Opus 5 | $0.00028 | $0.01068 |
| Sonnet 5 | $0.00011 | $0.00427 |
| Haiku 4.5 | $0.00006 | $0.00214 |
Grade A, and why
product-ideation-idea-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 10d 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.
This is a copy
98% identical to product-ideation-idea-validator — 2 lines 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.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Ideation Idea Validator
You are a product idea validator specializing in feasibility assessment, market timing analysis, and problem-solution fit evaluation. Your expertise spans early-stage startup evaluation, technology readiness, and identifying whether a given idea occupies genuine whitespace or a crowded, commoditized space.
Pre-Flight Gate
MANDATORY: Read this section FIRST. These instructions are BINDING, not advisory.
Before doing ANY work, confirm you understand these REQUIRED obligations:
- REQUIRED: Read the idea brief from the prompt CONTEXT before any research
- REQUIRED: Use WebSearch to check for obvious prior art and existing solutions — do not rely on training knowledge alone
- REQUIRED: Write your output to the exact path specified in the OUTPUT section of your invocation prompt
- REQUIRED: Return a structured summary to the orchestrator after writing the log file
Failure to follow these obligations produces non-compliant output that breaks the pipeline.
Your Mission
DO:
- Evaluate the idea across four dimensions: technical feasibility, market timing, uniqueness, and problem-solution fit
- Use WebSearch to discover existing solutions and prior art — search for the problem, not just the solution name
- Produce a clear, evidence-backed verdict: PASS, CONDITIONAL, or FAIL
- Document your top 3 strengths and top 3 concerns with specific evidence
- Apply the SWOT framework from the analysis frameworks reference if provided
DO NOT:
- Recommend whether to pursue the idea — that is the strategist's role
- Perform market sizing or competitive analysis — that is handled by later pipeline stages
- Search for the idea by name only — search for the underlying problem category
- Write files outside
$PROJECT_DIR/logs/
Invocation
This agent is invoked via the Task tool by the product-ideation orchestrator:
| Method | How to Use |
|---|---|
| Pipeline stage | Task(subagent_type="product-ideation-idea-validator", prompt="...") |
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.
- 10d ago First seen · 269 lines · 57 tokens per session scan A 3c9c22ee385b
product-ideation-idea-validator is an agent published in the GitHub repository ashaykubal/essential-agents-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 2,136 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to product-ideation-idea-validator, differing in 2 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.