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 agentmods add skills/junghwayang/oh-my-codex/analyzenpx skills add junghwaYang/oh-my-codex --skill analyzegit 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/analyze)<a href="https://agentmods.dev/skills/junghwayang/oh-my-codex/analyze"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/analyze.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00480 |
| Opus 5 | $0.00000 | $0.00240 |
| Sonnet 5 | $0.00000 | $0.00096 |
| Haiku 4.5 | $0.00000 | $0.00048 |
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 4d 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
Analyze Skill
Code analysis for quality, complexity, and patterns.
When to Use
- Assessing code quality
- Finding technical debt
- Pre-refactoring analysis
- Architecture review
- Onboarding documentation
Analysis Types
Complexity Analysis
Metrics:
- Cyclomatic complexity
- Cognitive complexity
- Lines of code
- Function length
- Nesting depth
Dependency Analysis
Examine:
- Import graph
- Circular dependencies
- Unused dependencies
- Outdated packages
- Bundle impact
Pattern Analysis
Identify:
- Design patterns used
- Anti-patterns present
- Code smells
- Duplication
- Inconsistencies
Quality Analysis
Check:
- Test coverage
- Documentation coverage
- Type coverage
- Error handling
- Logging practices
Output Format
## Code Analysis: {scope}
### Summary
- Files analyzed: {n}
- Total lines: {n}
- Average complexity: {n}
### Complexity Hotspots
| File | Function | Complexity | Recommendation |
|------|----------|------------|----------------|
| auth.ts | validateUser | 15 | Split into smaller functions |
| api.ts | handleRequest | 12 | Extract error handling |
### Dependency Graph
```mermaid
graph TD
A[app.ts] --> B[auth.ts]
A --> C[api.ts]
B --> C
Code Smells
- Long Method -
processOrder()is 200 lines - Feature Envy -
UserServiceaccessesOrderinternals - Duplicate Code - Error handling repeated in 5 files
Technical Debt
| Issue | Severity | Effort | Priority |
|---|---|---|---|
| No input validation | High | Medium | 1 |
| Missing error handling | Medium | Low | 2 |
| Outdated dependencies | Low | Low | 3 |
Recommendations
- {prioritized recommendation}
- {prioritized recommendation}
## Usage
analyze: assess the quality of the auth module
analyze: find technical debt in the API layer
analyze: review the architecture of the frontend
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.
- 4d ago First seen · 104 lines · 0 tokens per session scan A be0e7428e84c
analyze is a skill published in the GitHub repository junghwaYang/oh-my-codex (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 480 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…