autoresearch

autoresearch is a skill for Claude Code, Codex from Yeachan-Heo/oh-my-codex. It costs 14 tokens per session (689 once invoked), scanned A, original, MIT.

A research loop that keeps state between runs and checks results with validators before continuing.

In plain words
What is it for?
Use it for research tasks that need multiple iterations and validation of each result.
Why use it?
It helps research proceed through repeated, checked steps while preserving progress.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: $skill-name invocation.

Good fit Use it for research tasks that need multiple iterations and validation of each result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yeachan-heo/oh-my-codex/autoresearch
About the project

oh-my-codex is a workflow layer for OpenAI Codex CLI that adds prompts, agent teams, skills, hooks, HUDs, and other runtime assistance while leaving Codex as the execution engine. It is for people who use Codex CLI and want structured workflows and additional help as tasks become larger. The catalogue entries are its skills, hooks, and MCP integrations for those Codex workflows.

Yeachan-Heo/oh-my-codex · 33,102 stars · on GitHub · oh-my-codex.dev

Install

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.

Any agent
npx skills add Yeachan-Heo/oh-my-codex --skill autoresearch
Clone the repo
git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-codex

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for autoresearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/autoresearch/github.svg)](https://agentmods.dev/skills/yeachan-heo/oh-my-codex/autoresearch)
Your own site
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-codex/autoresearch"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/autoresearch/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.

agentmods 80×15 button for autoresearch

Your own site · 80×15
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-codex/autoresearch"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/autoresearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 689 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00689
Opus 5 $0.00007 $0.00345
Sonnet 5 $0.00003 $0.00138
Haiku 4.5 $0.00001 $0.00069

Measured 13d ago against content hash 5620155f3122, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

autoresearch 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 13d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/oh-my-codex/skills/autoresearch/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autoresearch

Autoresearch is the skill-first replacement for the deprecated omx autoresearch command. It keeps the useful measured-research loop, but it now runs as a native-hook stateful workflow instead of a direct CLI or tmux launch surface.

Boundary with planning research

Use $autoresearch when the research output itself is a bounded deliverable that must pass an explicit validator. Do not recommend it for ordinary pre-planning docs lookup or general best-practice checks; use $best-practice-research for that. If $autoresearch is intentionally run before architecture planning, its approved artifact should feed evidence into $ralplan; it should not become a final architecture/component unless the user explicitly asks for ongoing research automation.

Use when

  • You want a Ralph-ish persistent research loop
  • The task should keep nudging until explicit validation evidence exists
  • You want init-time choice between script validation and prompt+architect validation

Do not use when

  • You want the old omx autoresearch command surface (hard-deprecated)
  • You want detached tmux or split-pane launch parity
  • You have not decided the validation regime yet

Core contract

  1. Init chooses validation mode. Pick exactly one:
    • mission-validator-script
    • prompt-architect-artifact
  2. Persist mode state in .omx/state/.../autoresearch-state.json including:
    • validation_mode
    • completion_artifact_path
    • mission_validator_command or validator_prompt
    • optional output_artifact_path
  3. Completion is artifact-gated. The loop does not stop because the model says “done”, because a stop hook fired once, or because several turns were no-ops.
  4. Direct CLI launch is gone. Use $deep-interview --autoresearch for intake and $autoresearch for execution.

Completion artifact contract

mission-validator-script

The completion artifact must exist and record a passing validator result, for example:

{
  "status": "passed",
  "passed": true,
  "summary": "metric improved beyond baseline"
}

Read the full file on GitHub · 73 lines

Changes

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.

  1. 13d ago First seen · 73 lines · 14 tokens per session scan A 5620155f3122

Subscribe to this mod's changes

autoresearch is a skill published in the GitHub repository Yeachan-Heo/oh-my-codex (33,102 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 689 once invoked, about $0.0001 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.

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