aminer-rec5

name: aminer-rec5 description: "OpenClaw personalized paper recommendation skill. When the user invokes /aminer-rec5 or /skill aminer-rec5 in Feishu, immediately run the local pipeline under {baseDir}/scripts/, accept aminer_user_id, scholar hints, seed paper titles, papers_file, or free-form topic text, build a unified ResearchProfile, retrieve papers, enrich with AMiner, dispatch Feishu cards, and return NO_REPLY." homepage: https://github.com/tlysanhuo/aminer-rec user-invocable: true disable-model-invocation: false metadata: { "openclaw": { "emoji": "📚", "requires": { "bins": ["python3"] } } }

Use this skill only for explicit /aminer-rec5 or /skill aminer-rec5 requests.

Contract

Every explicit invocation is a new run.
Do not answer with status-only text.
Do not search, install, or repair skills.
After running handle_trigger.py, check final_response in the JSON output:
- NO_REPLY → Feishu cards were dispatched successfully. Return exactly NO_REPLY.
- TEXT → No Feishu target available. Present the reply_text value directly to the user.
- Any error → Report the reply_text or error detail to the user.

Inputs

aminer_user_id
scholar / name
org
papers
papers_file
topics
language_sort: zh or en — filter results by paper language
start_year: minimum publication year (e.g. 2023)
end_year: maximum publication year (e.g. 2026)
free-form natural-language interest description

Execution

python3 "{baseDir}/scripts/handle_trigger.py" \
  --base-dir "{baseDir}" \
  --text "<original Feishu message>"

handle_trigger.py is the only supported entrypoint.

Examples

/aminer-rec5 topics: multimodal agents, tool use
/aminer-rec5 topics: LLM reasoning language_sort: en start_year: 2024
/aminer-rec5 scholar: Jie Tang org: Tsinghua University papers: OAG-Bench
/aminer-rec5 aminer_user_id: 696259801cb939bc391d3a37 topics: multimodal