# Autonomous Research Solver

> Use when you need to autonomously research and solve a hard, measurable problem end to end.

- Skill: `harishkotra/autonomous-research-solver` (Agent Skill)
- Install (CLI): `npx skillmds@latest add harishkotra/autonomous-research-solver`
- Raw SKILL.md: https://api.skillmd.com/api/skills/harishkotra/autonomous-research-solver/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: harishkotra (https://skillmd.com/u/harishkotra)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/harishkotra/autonomous-research-solver

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# Autonomous Research Solver
Autonomously research a hard, measurable problem and return a verified solution.

## When to use
- Someone hands you a hard problem and wants it solved, not just described.
- The problem is measurable: there is a correct answer or a testable outcome.

## Procedure
1. Restate the problem as a falsifiable question with a success criterion.
2. Break it into sub-questions; plan which tools (web search, code exec, math) answer each.
3. Iterate: gather evidence, attempt a solution, run the verification, refine. Loop until the success criterion passes.
4. Cite sources for every factual claim.
5. Return: the answer, the method, the evidence, and what remains uncertain.

## Pitfalls
- Don't stop at a plausible-sounding answer; always run the verification step.
- If the problem is not measurable, say so and ask for a success criterion before deep work.

## Verification
- The final answer must pass the stated success criterion, with evidence you can point to.