ClawHub

Yutori 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).

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisReview

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install yutori-web-research

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):

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."
  1. 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):

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.