Overview
- Skill Key
- 24601/agent-deep-research
- Author
- 24601
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/24601/agent-deep-research
- Latest Commit SHA
- 58c26f7d55e0e34a8e19ab1eee33d6f23dae1c8a
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structured JSON output, adaptive polling. Universal skill for 30+ AI agents including Claude Code, Amp, Codex, and Gemini CLI.
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Installs
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 deep-research 技能。 若已安装,则直接安装 deep-research 技能。
# Deep Research Skill
Perform deep research powered by Google Gemini's deep research agent. Upload documents to file search stores for RAG-grounded answers. Manage research sessions with persistent workspace state.
## For AI Agents
Get a full capabilities manifest, decision trees, and output contracts:
```bash
uv run {baseDir}/scripts/onboard.py --agent
```
See [AGENTS.md]({baseDir}/AGENTS.md) for the complete structured briefing.
| Command | What It Does |
|---------|-------------|
| `uv run {baseDir}/scripts/research.py start "question"` | Launch deep research |
| `uv run {baseDir}/scripts/research.py start "question" --context ./path --dry-run` | Estimate cost |
| `uv run {baseDir}/scripts/research.py start "question" --context ./path --output report.md` | RAG-grounded research |
| `uv run {baseDir}/scripts/store.py query <name> "question"` | Quick Q&A against uploaded docs |
## Security & Transparency
**Credentials**: This skill requires a Google/Gemini API key (one of `GOOGLE_API_KEY`, `GEMINI_API_KEY`, or `GEMINI_DEEP_RESEARCH_API_KEY`). The key is read from environment variables and passed to the `google-genai` SDK. It is never logged, written to files, or transmitted anywhere other than the Google Gemini API.
**File uploads**: The `--context` flag uploads local files to Google's ephemeral file search stores for RAG grounding. Sensitive files are automatically excluded: `.env*`, `credentials.json`, `secrets.*`, private keys (`.pem`, `.key`), and auth tokens (`.npmrc`, `.pypirc`, `.netrc`). Binary files are rejected by MIME type filtering. Build directories (`node_modules`, `__pycache__`, `.git`, `dist`, `build`) are skipped. The ephemeral store is auto-deleted after research completes unless `--keep-context` is specified. Use `--dry-run` to preview what would be uploaded without sending anything. Only files you explicitly point `--context` at are uploaded -- no automatic scanning of parent directories or home folders.
**Non-interactive mode**: When...
# agent-deep-research
[](https://github.com/24601/agent-deep-research/actions/workflows/ci.yml)
[](LICENSE)
[](https://github.com/24601/agent-deep-research/releases)
Deep research and RAG-grounded file search powered by the Google Gemini Interactions API. A universal AI agent skill that works with Claude Code, Amp, Codex, OpenCode, Cursor, Gemini CLI, and [30+ other agents](https://skills.sh). No dependency on the Gemini CLI -- uses the `google-genai` Python SDK directly via `uv run`.
## Installation
```bash
npx skills add 24601/agent-deep-research
```
### Agent-specific installation
```bash
# Claude Code
npx skills add 24601/agent-deep-research -a claude-code -g -y
# Amp
npx skills add 24601/agent-deep-research -a amp -g -y
# Codex
npx skills add 24601/agent-deep-research -a codex -g -y
# Gemini CLI
npx skills add 24601/agent-deep-research -a gemini-cli -g -y
# OpenCode
npx skills add 24601/agent-deep-research -a opencode -g -y
# Pi (badlogic/pi-mono)
npx skills add 24601/agent-deep-research -a pi -g -y
# OpenClaw / Clawdbot
npx skills add 24601/agent-deep-research -a openclaw -g -y
```
### Pi agent (manual install)
If you prefer manual installation for [Pi](https://github.com/badlogic/pi-mono):
```bash
# Clone to Pi's global skills directory
git clone https://github.com/24601/agent-deep-research.git ~/.pi/agent/skills/deep-research
# Or add to Pi settings.json to load from an existing directory
# ~/.pi/settings.json:
# { "skills": ["~/.agents/skills"] }
```
Then use `/skill:deep-research` in Pi, or let Pi auto-detect it from the description.
### ClawHub (OpenClaw registry)
```bash
npx clawhub install agent-deep-research
```
Or browse at [clawhub.ai/skills/agent-deep-research](https://clawhub.ai/skills/agent-dee...
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