yutori-web-research
Use Yutori’s Research API and Browsing API (cloud browser) to research topics, collect sources, and extract structured facts from the web. Use when the user asks to “research X”, “monitor/find papers”, or “navigate to a site and extract info” and you have access to YUTORI dev/prod endpoints via YUTORI_API_BASE and an API key in env (YUTORI_API_KEY or ~/.openclaw/openclaw.json env.YUTORI_API_KEY).
Best use case
yutori-web-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use Yutori’s Research API and Browsing API (cloud browser) to research topics, collect sources, and extract structured facts from the web. Use when the user asks to “research X”, “monitor/find papers”, or “navigate to a site and extract info” and you have access to YUTORI dev/prod endpoints via YUTORI_API_BASE and an API key in env (YUTORI_API_KEY or ~/.openclaw/openclaw.json env.YUTORI_API_KEY).
Teams using yutori-web-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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/yutori-web-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How yutori-web-research Compares
| Feature / Agent | yutori-web-research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use Yutori’s Research API and Browsing API (cloud browser) to research topics, collect sources, and extract structured facts from the web. Use when the user asks to “research X”, “monitor/find papers”, or “navigate to a site and extract info” and you have access to YUTORI dev/prod endpoints via YUTORI_API_BASE and an API key in env (YUTORI_API_KEY or ~/.openclaw/openclaw.json env.YUTORI_API_KEY).
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.
SKILL.md Source
# yutori-web-research
Use Yutori’s cloud agents for two things:
1) **Research** (wide/deep web research + citations) via `POST /v1/research/tasks`
2) **Browsing** (web navigation agent on a cloud browser) via `POST /v1/browsing/tasks`
This skill is for **web tasks** where a dedicated web agent is helpful (papers, competitors, product info, extracting lists from a site), and where OpenClaw’s local `web_fetch` or `browser` tool is not ideal.
## Preconditions (auth + endpoint)
- Requires **YUTORI_API_KEY** (preferred: provided by OpenClaw Gateway env; fallback: `~/.openclaw/openclaw.json` at `env.YUTORI_API_KEY`).
- Endpoint defaults to **dev** unless overridden:
- Set `YUTORI_API_BASE=https://api.dev.yutori.com` (dev)
- or `YUTORI_API_BASE=https://api.yutori.com` (prod)
If requests return `403 Forbidden`, the key likely lacks access to the requested API product (Research/Browsing).
## Bundled runner scripts
This skill expects a small Node runner script to exist (or be bundled alongside this skill):
- `yutori-research.mjs` — create + poll a research task; prints **pretty text** output.
Recommended: bundle it under `scripts/yutori-research.mjs` in this skill folder.
## Workflow: Research a topic (brief + reading list)
When the user asks for research (example: “RL papers in the last month”):
1) Write a tight query prompt that requests:
- **1-page brief** (themes + trends)
- **curated reading list** (10–15 items, each with title, 1–2 sentence summary, why it matters, and link)
- Prefer primary sources (arXiv + publisher pages)
2) Run the research task using the runner script (example):
```bash
cd /Users/juanpin/.openclaw/workspace
node yutori-research.mjs "Research reinforcement learning papers from the last 30 days. Output (1) a concise 1-page brief of themes/trends and (2) a curated list of 12 papers with title, 2-sentence summary, why it matters, and a link. Prefer arXiv + conference links."
```
3) Return results to the user as **clean bullets** (not raw JSON), and include source URLs.
## Workflow: Browse a site and extract info (e.g., employees list)
Use the Browsing API when the user asks:
- “Navigate to <site> and list …”
- “Fill a form / click through pages / collect items”
Create a browsing task (example curl):
```bash
curl --request POST \
--url "$YUTORI_API_BASE/v1/browsing/tasks" \
--header "x-api-key: $YUTORI_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"task": "Give me a list of all employees (names and titles) of Yutori.",
"start_url": "https://yutori.com",
"max_steps": 60
}'
```
Poll until `succeeded`, then return a deduplicated list.
## Output style
- Prefer **pretty text** + bullets.
- Include the key source URLs.
- If the agent output contains HTML (e.g., `<pre>...</pre>`), strip it and return plain text.
## Troubleshooting
- `401 Missing API key header`: ensure you are sending the correct header. Yutori uses `x-api-key` for most APIs.
- `403 Forbidden`: key doesn’t have access to that product in that environment.
- Long-running tasks: share the `view_url` and optionally poll longer.Related Skills
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