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/research/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/research)<a href="https://agentmods.dev/skills/junghwayang/oh-my-codex/research"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/research/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/research"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/research.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 | $0.00542 |
| Opus 5.5 | $0.00000 | $0.00217 |
| Sonnet 5.5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
Grade A, and why
research 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Skill
Deep research and information gathering.
When to Use
- Evaluating technology options
- Understanding new APIs/libraries
- Investigating best practices
- Comparing solutions
- Learning new concepts
When NOT to Use
- When answer is already known
- Simple documentation lookups
- Time-critical tasks
Research Process
1. Define Question
What exactly do we need to know?
- Specific question
- Success criteria
- Scope boundaries
2. Gather Sources
Primary sources:
- Official documentation
- GitHub repos
- Academic papers
- RFC specifications
Secondary sources:
- Blog posts
- Stack Overflow
- Community forums
- Video tutorials
3. Analyze & Compare
For each option:
- Pros and cons
- Use cases
- Limitations
- Community support
- Maintenance status
4. Synthesize
- Summary of findings
- Recommendation
- Supporting evidence
- Caveats/risks
Research Templates
Technology Comparison
## {Topic} Comparison
### Options Evaluated
1. {Option A}
2. {Option B}
3. {Option C}
### Comparison Matrix
| Criteria | Option A | Option B | Option C |
|----------|----------|----------|----------|
| Performance | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |
| Ease of Use | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ |
| Community | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ |
| Documentation | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |
### Recommendation
{Option X} because {reasons}
### Risks
- {potential issues}
Best Practice Research
## Best Practices: {Topic}
### Industry Standards
- {standard 1}
- {standard 2}
### Common Patterns
1. {pattern} - {when to use}
2. {pattern} - {when to use}
### Anti-patterns to Avoid
- {anti-pattern} - {why it's bad}
### Sources
- {source 1}
- {source 2}
Usage
research: compare React state management solutions
research: best practices for API rate limiting
research: evaluate database options for time-series data
Output Guidelines
- Be specific - Cite sources, version numbers
- Be objective - Present tradeoffs fairly
- Be actionable - End with clear recommendation
- Be current - Note when info might be outdated
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 · 123 lines · 0 tokens per session scan A 27c06c58bc95
research 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 542 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.
research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researchjunghwaYang/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 |