autoresearch is an agent workflow that repeatedly changes a project, verifies a measurable result, keeps or discards the change, and continues iterating toward a goal. It is for autonomous improvement tasks in Claude Code, OpenCode, and OpenAI Codex across domains with mechanical success measures. The catalogue contains its commands, hooks, skills, plugin, agent, and instruction.
Borrowing it
Nothing to install: this file belongs to uditgoenka/autoresearch. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/uditgoenka/autoresearch/master/AGENTS.mdgit clone --depth 1 https://github.com/uditgoenka/autoresearchWrote 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/instructions/uditgoenka/autoresearch/agents-md)<a href="https://agentmods.dev/instructions/uditgoenka/autoresearch/agents-md"><img src="https://agentmods.dev/badge/instructions/uditgoenka/autoresearch/agents-md.svg" alt="Measured on agentmods" 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 | $0.02635 | $0.02635 |
| Opus 5 | $0.01318 | $0.01318 |
| Sonnet 5 | $0.00527 | $0.00527 |
| Haiku 4.5 | $0.00264 | $0.00264 |
Grade A, and why
autoresearch AGENTS.md 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 8d 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Autoresearch
Drop this file into your project root. Any AI agent (Claude Code, Codex, OpenCode, Gemini CLI, etc.) can then use Autoresearch immediately.
What is Autoresearch?
Autonomous goal-directed iteration based on Karpathy's autoresearch. One metric, constrained scope, fast verification, automatic rollback, git as memory. Works on ANY domain — code, content, marketing, sales, DevOps — anything with a measurable metric.
Core loop: Modify → Verify → Keep/Discard → Repeat.
Installation
Claude Code (plugin)
/plugin marketplace add uditgoenka/autoresearch
/plugin install autoresearch@autoresearch
Restart session after install. All 14 commands become available as /autoresearch and /autoresearch:<subcommand>.
Codex (plugin)
git clone https://github.com/uditgoenka/autoresearch.git
cd autoresearch
./scripts/install.sh --codex --global
Invoke via the $autoresearch mention syntax: $autoresearch <subcommand> [flags].
Manual (any agent)
Copy the skill files into your agent's skill directory:
git clone https://github.com/uditgoenka/autoresearch.git
# Claude Code
cp -r autoresearch/claude-plugin/skills/autoresearch .claude/skills/autoresearch
cp -r autoresearch/claude-plugin/commands/autoresearch .claude/commands/autoresearch
cp autoresearch/claude-plugin/commands/autoresearch.md .claude/commands/autoresearch.md
# Codex
cp -r autoresearch/plugins/autoresearch ~/.agents/plugins/autoresearch
Commands
| Command | Purpose |
|---|---|
autoresearch |
Autonomous iteration loop (unlimited or bounded with Iterations: N) |
autoresearch:plan |
Interactive wizard: Goal → Scope, Metric, Direction, Verify config |
autoresearch:debug |
Autonomous bug-hunting — scientific method + iterative investigation |
autoresearch:fix |
Autonomous error repair — one fix per iteration until zero errors |
autoresearch:security |
STRIDE + OWASP + red-team security audit (read-only unless --fix) |
autoresearch:ship |
Universal shipping workflow — 8 phases, 9 shipment types |
autoresearch:scenario |
Scenario exploration — 12 dimensions, edge cases, derivative scenarios |
autoresearch:predict |
Multi-persona swarm — 5 expert perspectives before acting |
autoresearch:learn |
Autonomous documentation engine — scout, generate, validate, fix |
autoresearch:reason |
Adversarial refinement — blind judge panel for subjective domains |
autoresearch:probe |
Adversarial requirement / assumption interrogation — 8 personas probe to mechanical saturation, emits ready-to-run autoresearch config |
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.
- 8d ago First seen · 337 lines · 2,635 tokens per session scan A 38b9b278ba12
autoresearch AGENTS.md is an instructions file published in the GitHub repository uditgoenka/autoresearch (6,206 stars, last pushed 25d ago), licensed MIT. It adds 2,635 tokens to every session, about $0.0132 per session on Opus 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 2026-08-30.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.