Borrowing it
Nothing to install: this file belongs to junghwaYang/oh-my-codex. 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/junghwaYang/oh-my-codex/main/.codex/skills/ultrawork/SKILL.mdgit clone --depth 1 https://github.com/junghwaYang/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/junghwayang/oh-my-codex/ultrawork)<a href="https://agentmods.dev/skills/junghwayang/oh-my-codex/ultrawork"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/ultrawork/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/junghwayang/oh-my-codex/ultrawork"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/ultrawork.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00452 |
| Opus 5.5 | $0.00000 | $0.00181 |
| Sonnet 5.5 | $0.00000 | $0.00090 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
ultrawork 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 2mo 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.
What it actually says
Ultrawork Skill (ulw)
Parallel execution mode for large-scale multi-file operations.
When to Use
- Refactoring across 5+ files
- Bulk updates (imports, naming conventions)
- Parallel feature development (independent components)
- Large codebase migrations
When NOT to Use
- Sequential dependencies between changes
- Single-file modifications
- Tasks requiring careful ordering
- When changes might conflict
Workflow
1. DECOMPOSE
- Identify independent work units
- Group by file/module boundaries
- Check for conflicts between units
2. PARALLELIZE
- Spawn sub-tasks (conceptually parallel)
- Each unit gets isolated context
- No cross-unit dependencies allowed
3. AGGREGATE
- Collect all results
- Check for merge conflicts
- Resolve any inconsistencies
4. VERIFY
- Run full test suite
- Check for broken imports
- Validate integration points
Decomposition Rules
INDEPENDENT if:
- Different files with no shared imports
- Same file, different functions (careful!)
- Different modules entirely
DEPENDENT if:
- Shared type definitions
- Import/export relationships
- Shared state or config
Task Unit Template
## Unit: {name}
Files: {file1}, {file2}
Action: {what to do}
Isolated: {yes/no}
Conflicts with: {none | unit names}
Execution Strategy
For truly parallel work with Codex MCP:
# Conceptual - actual implementation in orchestrator/
async def ultrawork(units):
tasks = [spawn_codex_session(unit) for unit in units]
results = await asyncio.gather(*tasks)
return merge_results(results)
Examples
Good trigger:
"ulw: rename all instances of 'userId' to 'user_id' across the codebase"
Good trigger:
"ulw: add TypeScript types to all utility functions"
Bad trigger:
"ulw: refactor the auth module" (likely has dependencies)
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.
- 2mo ago First seen · 86 lines · 0 tokens per session scan A 5e96e4f5a395
ultrawork is a skill published in the GitHub repository junghwaYang/oh-my-codex (5 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 452 tokens. 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 2026-08-31.
ultrawork compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ultraworkjunghwaYang/oh-my-codex | Skill | 5 | 8mo ago | MIT | A | 0 | Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |