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.
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-codex --skill analyzegit clone --depth 1 https://github.com/Yeachan-Heo/oh-my-codexWrote 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-codex/analyze)<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-codex/analyze"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/analyze/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-codex/analyze"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00065 | $0.00643 |
| Opus 5 | $0.00032 | $0.00321 |
| Sonnet 5 | $0.00013 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
analyze 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 10d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze — Read-Only Deep Analysis
Use $analyze to answer a repository question with grounded, read-only evidence. Explain what the code most likely says; do not turn analysis into implementation or generic fix planning.
Shared operating, delegation, state, hook, team, cancellation, and verification invariants live in templates/AGENTS.md. Follow that source instead of duplicating its rules here.
Use when
- The user needs a causal, architectural, behavioral, impact, or tradeoff explanation.
- The answer requires tracing multiple files or boundaries, or ranking plausible explanations.
- The user needs confidence and concrete evidence before changing anything.
Do not use it for edits, implementation, a new product plan, a simple one-file lookup, or OMX team-runtime operation.
Inputs and method
- Restate the question and define the evidence-backed scope.
- Identify the smallest files, tests, configs, and docs likely to answer it.
- Read direct code paths and contracts first; trace boundaries only as far as needed.
- Compare competing explanations, rank them by support, and mark unresolved points.
- Stop when the question is answered with sufficient evidence, or name the smallest read-only probe that would resolve the remaining uncertainty.
Evidence discipline
Label every material claim as one of:
- Evidence — directly shown by code, tests, generated artifacts, configuration, or docs.
- Inference — a reasoned conclusion drawn from cited evidence.
- Unknown — not settled by the repository evidence.
Prefer direct paths and independent corroboration over contextual clues. Never present guesses as evidence or inference, and never overclaim certainty.
Output contract
Answer the asked question first and use this shape:
Question
Restated question, briefly.
Ranked synthesis
| Rank | Explanation | Confidence | Basis |
|---|---|---|---|
| 1 | ... | High / Medium / Low | strongest supporting evidence |
| 2 | ... | High / Medium / Low | why it trails |
| 3 | ... | High / Medium / Low | why it remains possible |
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.
- 10d ago First seen · 71 lines · 65 tokens per session scan A 1c29f556b4cd
analyze is a skill published in the GitHub repository Yeachan-Heo/oh-my-codex (33,050 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 643 once invoked, about $0.0003 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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