codex-research

Web research using OpenAI Codex CLI (codex exec). PREFERRED over general web research. Use when: (1) User says 'research', 'codex research', 'look up', or 'investigate', (2) Researching libraries, APIs, best practices, or technical topics, (3) Gathering information from the web. Codex performs research, Claude Code synthesizes. Falls back to Claude Code researcher subagent if codex unresponsive.

6 stars

Best use case

codex-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Web research using OpenAI Codex CLI (codex exec). PREFERRED over general web research. Use when: (1) User says 'research', 'codex research', 'look up', or 'investigate', (2) Researching libraries, APIs, best practices, or technical topics, (3) Gathering information from the web. Codex performs research, Claude Code synthesizes. Falls back to Claude Code researcher subagent if codex unresponsive.

Teams using codex-research should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/codex-research/SKILL.md --create-dirs "https://raw.githubusercontent.com/Takazudo/claude-resources/main/skills/codex-research/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/codex-research/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How codex-research Compares

Feature / Agentcodex-researchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Web research using OpenAI Codex CLI (codex exec). PREFERRED over general web research. Use when: (1) User says 'research', 'codex research', 'look up', or 'investigate', (2) Researching libraries, APIs, best practices, or technical topics, (3) Gathering information from the web. Codex performs research, Claude Code synthesizes. Falls back to Claude Code researcher subagent if codex unresponsive.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Codex Research

Web research via the codex plugin companion script, synthesized by Claude Code.

## Codex Plugin Companion Script

The codex plugin provides a companion script for running tasks. Resolve it dynamically:

```bash
CODEX_PLUGIN_ROOT=$(command ls -d "$HOME/.claude/plugins/cache/openai-codex/codex"/*/ 2>/dev/null | sort -V | tail -1)
CODEX_COMPANION="${CODEX_PLUGIN_ROOT}scripts/codex-companion.mjs"
```

If the file does not exist, report "Codex plugin not installed. Run `/codex:setup` first." and fall back to Claude Code research.

Usage for research tasks:

```bash
node "$CODEX_COMPANION" task "<research prompt>"
```

The `task` command runs Codex in read-only mode by default (no `--write` flag), which is appropriate for research.

## Process

### Step 0: Pre-flight Rate Limit Check

Before doing anything, check if Codex is currently rate-limited:

```bash
RATE_CHECK=$(node $HOME/.claude/scripts/codex-rate-limit.js check 2>&1)
RATE_EXIT=$?
```

If `RATE_EXIT` is non-zero (rate-limited), **skip all codex steps** and jump directly to the **Fallback** step. **Do NOT report the rate limit to the user** — silently fall back.

### Step 1: Understand the Research Topic

Clarify what needs to be researched:

- Specific question or topic
- Scope and depth needed
- How findings will be used

### Step 2: Build Research Prompt

Craft a focused prompt:

```
Research the following topic: <topic>

Specific questions to answer:
1. <question 1>
2. <question 2>
3. <question 3>

Provide:
- Key findings with sources/URLs where possible
- Comparison of alternatives if applicable
- Concrete recommendations based on findings
- Code examples if relevant

Be thorough but concise. Cite sources.
```

### Step 3: Run Codex

```bash
LOGDIR=$(node $HOME/.claude/scripts/get-logdir.js)
mkdir -p "$LOGDIR"
DATETIME=$(date +%Y%m%d_%H%M%S)

# Resolve codex companion script
CODEX_PLUGIN_ROOT=$(command ls -d "$HOME/.claude/plugins/cache/openai-codex/codex"/*/ 2>/dev/null | sort -V | tail -1)
CODEX_COMPANION="${CODEX_PLUGIN_ROOT}scripts/codex-companion.mjs"

# Detect timeout command (gtimeout on macOS via coreutils, timeout on Linux/WSL)
if command -v gtimeout &>/dev/null; then
  TIMEOUT_CMD="gtimeout"
elif command -v timeout &>/dev/null; then
  TIMEOUT_CMD="timeout"
else
  TIMEOUT_CMD=""
  echo "WARNING: neither gtimeout nor timeout found. Running without timeout."
fi

${TIMEOUT_CMD:+$TIMEOUT_CMD} ${TIMEOUT_CMD:+1500} node "$CODEX_COMPANION" task \
  "<research prompt>" \
  > "$LOGDIR/${DATETIME}-codex-research-{topic-slug}.md" \
  2>"$LOGDIR/${DATETIME}-codex-research-{topic-slug}-stderr.log"
```

**Timeout: 25 minutes.**

### Step 4: Check for Rate Limiting

After codex completes (or times out), check output files for rate limit errors:

```bash
node $HOME/.claude/scripts/codex-rate-limit.js check-output \
  "$LOGDIR/${DATETIME}-codex-research-{topic-slug}.md" \
  "$LOGDIR/${DATETIME}-codex-research-{topic-slug}-stderr.log"
```

If exit code is non-zero (rate limit detected), jump to **Fallback**.

### Step 5: Fallback — Opus

If codex times out, produces no output, or is rate-limited:

- **Silently fall back to Opus** — do NOT report the rate limit or timeout to the user. Do NOT pause the workflow.
- Spawn a `researcher` subagent with `model: opus` to perform the research via Claude Code tools (WebSearch, WebFetch, etc.). Opus is the designated Claude-side stand-in for codex throughout these skills.
- Continue the workflow as if the researcher subagent was the original plan

### Step 6: Synthesize

1. Read codex output from the log file
2. Verify key claims where possible
3. Organize findings into a clear structure
4. Present to the user with source references

### Step 7: Save Research Log

Save the final synthesized findings:

```bash
node $HOME/.claude/scripts/save-file.js "{logdir}/{timestamp}-research-{topic}.md" "<content>"
```

Then format:

```bash
pnpm dlx @takazudo/mdx-formatter --write <file>
```

## Timeout Policy

- **Timeout**: 25 minutes (1500s)
- **If codex times out**: Silently fall back to Opus (`researcher` subagent at `model: opus`)
- Research is read-only — codex cannot modify files

## Important Notes

- Codex can do web research natively
- All file writing done by Claude Code, never by codex
- Long timeout (25 min) to give research room to complete
- Falls back to a `researcher` subagent at `model: opus` if codex fails
- **Silent fallback policy**: If codex is rate-limited, timed out, or unavailable, silently fall back to the researcher subagent at `model: opus`. NEVER pause the workflow, NEVER report the rate limit to the user, NEVER ask what to do. Opus is the designated Claude-side stand-in for codex throughout these skills
- NEVER use `~` in paths — use `$HOME`

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