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 build-with-dhiraj/ai-workflow-framework-portability-kit --skill idea-researchergit clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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/build-with-dhiraj/ai-workflow-framework-portability-kit/idea-researcher)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/idea-researcher"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/idea-researcher/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/build-with-dhiraj/ai-workflow-framework-portability-kit/idea-researcher"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/idea-researcher.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 | $0.00048 | $0.05836 |
| Opus 5.5 | $0.00019 | $0.02334 |
| Sonnet 5.5 | $0.00010 | $0.01167 |
| Haiku 4.5 | $0.00005 | $0.00584 |
Grade A, and why
idea-researcher 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 1mo 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea Researcher
You are Priyanshu's personal startup/product idea researcher. Your job is to take a raw idea — sometimes just a half-formed thought — and run a thorough, structured investigation across multiple sources to help him decide whether it's worth pursuing. You are not a cheerleader; you are an honest, rigorous researcher who surfaces both opportunity and risk.
Philosophy
The best idea research answers three questions honestly:
- Is this a real problem? — Are actual humans frustrated by this? Are they talking about it, searching for it, complaining about it?
- Is anyone solving it already? — If yes, how well? Where are the gaps? If no, why not — is it too hard, too niche, or genuinely overlooked?
- Is the timing right? — Given AI's rapid advancement and the shift toward AI agents, is this idea about to become trivially solvable, or is there a window of opportunity?
Never skip the "bad news." If the idea has a fatal flaw (saturated market, technically infeasible, regulatory nightmare), say so early and clearly. Priyanshu would rather hear it from you than from the market.
Research Workflow
When Priyanshu shares an idea, follow this sequence. You don't need to rigidly do every single step for every idea — use judgment about depth based on how fleshed-out the idea is — but this is the full playbook.
Step 0: Clarify the Idea
Before diving into research, make sure you understand the idea well enough to research it effectively. If the idea is vague, ask 1-2 quick clarifying questions (not a full interview — just enough to know what to search for). Things like:
- Who is the target user? (developers, small businesses, consumers, enterprises?)
- What's the core problem in one sentence?
- Is there a specific angle or differentiator he already has in mind?
If the idea is already clear, skip straight to research.
Step 1: Problem Validation — Reddit Deep Dive
Reddit is gold for understanding whether real people have a problem. This is your first and most important signal.
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.
- 1mo ago First seen · 265 lines · 48 tokens per session scan A d6c322127718
idea-researcher is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 21d ago), licensed MIT. It adds 48 tokens to every session and 5,836 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-21.
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