forsonny

forsonny / deep-discovery

Public

A structured self-interrogation framework that exhaustively explores a topic through 100 sequential questions, each building on the previous answer.

codex codex-cli codex-plugin codex-skill
19
1
100% credibility
Found Apr 28, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Deep Discovery is a plugin for Codex that guides users through a 100-question self-review process to rigorously evaluate designs, plans, code, strategies, and more before final commitment.

How It Works

1
🔍 Discover Deep Discovery

You hear about a smart review tool that asks 100 deep questions to check your ideas, plans, or strategies before you commit.

2
📥 Add to your collection

You simply add this helpful skill to your Codex toolbox through the easy marketplace option.

3
🔄 Refresh and prepare

You restart your Codex session, and the new tool appears ready in your plugins list.

4
💡 Launch the review

You tell Codex to run Deep Discovery on your project or plan, and it dives in with thoughtful questions tailored to your needs.

5
❓ Explore every angle

You go through the guided questions that uncover weaknesses in architecture, code, business ideas, or whatever you're building.

✅ Confident decisions

You finish with clear insights, spotting risks early and feeling great about your improved plan or design.

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Star Growth

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AI-Generated Review

What is deep-discovery?

Deep Discovery is a Codex plugin that triggers a 100-question self-interrogation framework to deeply explore topics like software architecture, code reviews, or business strategies. Each question builds on the prior answer, forcing exhaustive analysis before committing to a plan—think structured output from an LLM for deep discovery analyzer-style audits. Developers install it via simple CLI commands like `codex plugin marketplace add forsonny/deep-discovery`, then invoke it in a Codex session with prompts like "Run deep discovery on this architecture."

Why is it gaining traction?

It stands out by automating rigorous, sequential questioning tailored to domains like Codex plugins, trading systems, or product strategy, unlike generic chat prompts that fizzle out. The hook is its reference patterns for focused deep dives, delivering github llm structured output that mimics tools like deep discovery inspector from Trend Micro but for dev workflows. With 19 stars, early adopters value the no-fluff path to uncovering blind spots in designs.

Who should use this?

Architecture reviewers stress-testing systems, plugin authors auditing before publish, product leads refining strategies, or traders evaluating financial setups. It's for devs needing a deep discovery analyzer datasheet-level breakdown without manual checklists, especially in Codex-heavy environments.

Verdict

Try it if you're in the Codex ecosystem and want structured deep discovery—solid concept, but 1.0% credibility score and 19 stars signal early-stage maturity with basic docs. Pair with your own validation for production use.

(178 words)

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