yutori-web-research

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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).

Install

mkdir -p .claude/skills/yutori-web-research && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8742" && unzip -o skill.zip -d .claude/skills/yutori-web-research && rm skill.zip

Installs to .claude/skills/yutori-web-research

About this skill

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.

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