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 skillifygit 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/skillify)<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-claudecode/skillify"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-claudecode/skillify/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/skillify"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-claudecode/skillify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 36 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00019 | $0.00564 |
| Opus 5 | $0.00010 | $0.00282 |
| Sonnet 5 | $0.00004 | $0.00113 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
skillify 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 6d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skillify
Use this skill when the current session uncovered a repeatable workflow that should become a reusable OMC skill.
Goal
Capture a successful multi-step workflow as a concrete skill draft instead of rediscovering it later.
Quality Gate
Before extracting a skill, all three should be true:
- "Could someone Google this in 5 minutes?" → No.
- "Is this specific to this codebase, project, or workflow?" → Yes.
- "Did this take real debugging, design, or operational effort to discover?" → Yes.
Prefer skills that encode decision-making heuristics, constraints, pitfalls, and verification steps. Avoid generic snippets, boilerplate, or library usage examples that belong in normal documentation.
Workflow
- Identify the repeatable task the session accomplished.
- Extract:
- inputs
- ordered steps
- success criteria
- constraints / pitfalls
- verification evidence
- best target location for the skill
- Decide whether the workflow belongs as:
- a repo built-in skill
- a user/project learned skill
- documentation only
- When drafting a learned skill file, output a complete skill file that starts with YAML frontmatter.
- Never emit plain markdown-only skill files.
- Do not write plain markdown without frontmatter.
- Minimum frontmatter:
--- name: <skill-name> description: <one-line description> triggers: - <trigger-1> - <trigger-2> --- - Write learned/user/project skills to flat file-backed paths:
${CLAUDE_CONFIG_DIR:-~/.claude}/skills/omc-learned/<skill-name>.md.omc/skills/<skill-name>.md
- Remember that uncommitted skills are still worktree-local until committed or copied to a user-level directory.
- Draft the rest of the skill file with clear triggers, steps, success criteria, and pitfalls.
- Point out anything still too fuzzy to encode safely.
Rules
- Only capture workflows that are actually repeatable.
- Keep the skill practical and scoped.
- Prefer explicit success criteria over vague prose.
- If the workflow still has unresolved branching decisions, note them before drafting.
- Keep
omc-learnedas the storage directory name for compatibility; do not present it as the public invocation name.
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.
- 6d ago First seen · 67 lines · 19 tokens per session scan A ef2a236c93af
skillify is a skill published in the GitHub repository Yeachan-Heo/oh-my-claudecode (39,065 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 564 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 2026-09-03.
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deepwork
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worktrees
Manage Git worktrees as OMO safe isolated coding lanes for complex, risky, or parallel work.
simplify
Simplifies code for clarity without changing behavior. Use for readability, maintainability, and complexity reduction after behavior is understood.