Oh My Claude Code is a multi-agent orchestration system for Claude Code, coordinating specialized agents, commands, skills, hooks, and workflows. It is designed for developers who want Claude Code to handle coding tasks through coordinated agent roles. Catalogue entries are components of its Claude Code workflow, including agents, commands, skills, hooks, instructions, MCP configuration, and a plugin.
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 Yeachan-Heo/oh-my-claudecode --skill autoresearchgit clone --depth 1 https://github.com/Yeachan-Heo/oh-my-claudecodeWrote 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/yeachan-heo/oh-my-claudecode/autoresearch)<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-claudecode/autoresearch"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-claudecode/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.
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-claudecode/autoresearch"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-claudecode/autoresearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00024 | $0.00748 |
| Opus 5.5 | $0.00010 | $0.00299 |
| Sonnet 5.5 | $0.00005 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
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 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- autoresearch — 100% identical, 1 lines differ
- autoresearch — 95% identical, 7 lines differ
What it actually says
<Use_When>
- You already have a mission and evaluator from
/deep-interview --autoresearch - You want persistent single-mission improvement with strict evaluation
- You need durable experiment logs under
.omc/autoresearch/ - You want a supported path for periodic reruns via Claude Code native cron </Use_When>
<Do_Not_Use_When>
- You need evaluator generation at runtime — use
/deep-interview --autoresearchfirst - You need multiple missions orchestrated together — v1 forbids that
- You want the deprecated
omc autoresearchCLI flow — it is no longer authoritative </Do_Not_Use_When>
<Required_Artifacts>
Canonical persistent storage lives under .omc/autoresearch/<mission-slug>/ and/or .omc/logs/autoresearch/<run-id>/.
Minimum required artifacts:
- mission spec
- evaluator script or command reference
- per-iteration evaluation JSON
- markdown decision logs
Recommended canonical shape:
.omc/autoresearch/<mission-slug>/
mission.md
evaluator.json
runs/<run-id>/
evaluations/
iteration-0001.json
iteration-0002.json
decision-log.md
Reuse existing runtime artifacts when available rather than duplicating them unnecessarily. </Required_Artifacts>
<Cron_Integration> Claude Code native cron is a supported integration point for periodic mission enhancement. In v1, prefer documenting/configuring cron inputs over building a large scheduler UI.
If cron is used:
- keep one mission per scheduled job
- preserve the same mission/evaluator contract
- append new run artifacts rather than overwriting prior experiments </Cron_Integration>
<Execution_Policy>
- Do not hand execution back to
omc autoresearch - Do not create multi-mission orchestration
- Prefer reusing
src/autoresearch/*runtime/schema helpers where they already match the stricter contract - Keep logs useful to humans, not only machines </Execution_Policy>
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 Changed · -1 lines 988865735082
- 2mo ago First seen · 91 lines · 24 tokens per session scan A f98736d700b4
autoresearch is a skill published in the GitHub repository Yeachan-Heo/oh-my-claudecode (40,412 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 748 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
oracle-debug
Disciplined debugging methodology. Triggers on bug reports, test failures, "debug this", "diagnose this", unexpected behavior, build failures, integration issues, or performance regressions. Find root cause before a permanent corrective fix; contain urgent harm safely first.
spec-implement
Continue an approved Spec-backed workflow when the user says "implement", "go", "start", or "do it". After Codex Plan Mode, persist the next missing design.md or plan.json artifact and stop. When both artifacts exist, execute plan.json with TDD and report between batches.
oracle-grill-me
Grill the user relentlessly about a plan, decision, or idea, maintaining the project's domain model (CONTEXT.md, ADRs) as decisions crystallise. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
worktrees
Manage Git worktrees as OMO safe isolated coding lanes for complex, risky, or parallel work.
verification-planning
Use before implementing a feature, bug fix, refactor, or cross-system change to plan a credible project-specific verification path.
loop-engineering
Use to retry a task until tests, builds, or lint pass via Grill interview plus loop Monitor.