scholarlisted

# Scholar Use this skill to answer questions that require academic literature search, citation data, or author profile information. ## Setup Check whether the agent-gw Python SDK is available in the current Python environment, and install it only if the check fails: ```bash python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")" ``` The SDK needs an API key from `api_key=...`, `KIMI_API_KEY`, or `~/.kimi/agent-gw.json`. ## Workflow 1. Run `python3 scripts/scholar_tool.py describe` from the plugin directory to call `get_data_source_desc({"name": "scholar"})`. 2. Read the returned Markdown carefully. It contains the overall data source rules, academic search formats, global constraints, and each API's description, required parameters, optional parameters, defaults, and allowed values. 3. Select the API that best matches the user's question, such as paper search, advanced paper search, or author profile lookup. 4. Build `params` exactly from the Markdown requirements. Use documented keyword, author, publication year, pagination, profile, citation, or access-link fields only when the API supports them. 5. Use `python3 scripts/scholar_tool.py call` to call `call_data_source_tool`. 6. If the call fails, explain the failure reason from the response. 7. If the call succeeds, save any returned files first, then answer usi