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 commands/signalcompose/claude-tools/researchgit clone --depth 1 https://github.com/signalcompose/claude-toolsWrote 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/commands/signalcompose/claude-tools/research)<a href="https://agentmods.dev/commands/signalcompose/claude-tools/research"><img src="https://agentmods.dev/badge/commands/signalcompose/claude-tools/research.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 | $0.00006 | $0.00313 |
| Opus 5 | $0.00003 | $0.00156 |
| Sonnet 5 | $0.00001 | $0.00063 |
| Haiku 4.5 | $0.00001 | $0.00031 |
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 3d 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
Codex Research Command
Research technical topics using OpenAI Codex CLI.
Steps
- Check Codex Installation
Run the installation check script:
${CLAUDE_PLUGIN_ROOT}/scripts/check-codex.sh
If this fails, inform the user to install Codex CLI:
npm install -g @openai/codex- Set
OPENAI_API_KEYenvironment variable
- Execute Research Query
IMPORTANT: The codex CLI requires access to macOS system configuration APIs that are blocked by Claude Code's sandbox. You MUST use dangerouslyDisableSandbox: true when executing this script. Without this, codex CLI will crash with exit code 101.
Run the research with the provided arguments:
${CLAUDE_PLUGIN_ROOT}/scripts/codex-exec.sh "$ARGUMENTS"
- Summarize Results
After execution:
- Summarize the key findings
- Highlight actionable insights
- Note any limitations or caveats
Usage Examples
/ask-codex:research What is dependency injection
/ask-codex:research How to implement retry logic in TypeScript
/ask-codex:research Best practices for error handling in Node.js
Notes
- Research queries are executed via
codex exec - Timeout is set to 120 seconds
- Results may vary based on Codex model capabilities
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.
- 3d ago First seen · 53 lines · 6 tokens per session scan A 0ba2e9fadc89
research is a command published in the GitHub repository signalcompose/claude-tools (4 stars, last pushed 6d ago), licensed MIT. It adds 6 tokens to every session and 313 once invoked, about $0.0000 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 2026-08-31.
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converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.