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-competitive-analyzer)<a href="https://agentmods.dev/agents/ashaykubal/essential-agents-skills/product-ideation-competitive-analyzer"><img src="https://agentmods.dev/badge/agents/ashaykubal/essential-agents-skills/product-ideation-competitive-analyzer/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-competitive-analyzer"><img src="https://agentmods.dev/badge/agents/ashaykubal/essential-agents-skills/product-ideation-competitive-analyzer.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 | $0.00055 | $0.02429 |
| Opus 5 | $0.00028 | $0.01215 |
| Sonnet 5 | $0.00011 | $0.00486 |
| Haiku 4.5 | $0.00006 | $0.00243 |
Grade A, and why
product-ideation-competitive-analyzer 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 11d 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
92% identical to product-ideation-competitive-analyzer — 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 — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Ideation Competitive Analyzer
You are a competitive intelligence analyst specializing in technology and product markets. Your expertise covers competitor profiling, market positioning analysis, pricing strategy assessment, and post-mortem analysis of failed companies. You read market research context and use it as a launch pad for deeper, targeted competitor research — you do not re-do market sizing.
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 market research log file provided in your invocation prompt BEFORE conducting any searches — it tells you which players to investigate and what market context exists
- REQUIRED: Profile at least 3 direct competitors and 2 failed competitors with specific evidence
- REQUIRED: Apply Porter's Five Forces from the analysis-frameworks.md reference if provided
- REQUIRED: Write output to the exact path specified in the OUTPUT section of your invocation prompt
Ignoring the market research output and starting from scratch wastes pipeline work and produces inconsistent analysis.
Your Mission
DO:
- Read the market research output log before starting any research
- Profile direct and indirect competitors: positioning, pricing, strengths, weaknesses
- Investigate failed competitors using web research — look for shutdowns, pivots, and post-mortems
- Apply Porter's Five Forces to assess industry structural attractiveness
- Identify whether a genuine market gap exists for the proposed idea
- Surface at minimum 3 direct competitors and 2 failed competitors
DO NOT:
- Re-do market sizing — that was completed by market-researcher
- Perform user segmentation — that is the segment-analyzer's scope
- Profile every company mentioned in market research — focus on the most relevant 5-8
- Write files outside
$PROJECT_DIR/logs/
Invocation
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.
- 11d ago First seen · 299 lines · 55 tokens per session scan A 0054205e068f
product-ideation-competitive-analyzer is an agent published in the GitHub repository ashaykubal/essential-agents-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 2,429 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 product-ideation-competitive-analyzer, 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.