tlysanhuo

aminer-rec5

"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."

tlysanhuo 497 Updated 4w ago

Resources

9
GitHub

Install

npx skillscat add tlysanhuo/aminer-daily-paper

Install via the SkillsCat registry.

SKILL.md

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

Categories

Academic File Ops
GitHub

Install

npx skillscat add tlysanhuo/aminer-daily-paper

Install via the SkillsCat registry.

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