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"]}}}

aminer-rec5

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