Files
AOS/skills/aminer-daily-paper
Z User e45b68bb8b feat: IMAP mail sync with thread-to-contact matching (PRD §6.1)
Real IMAP connection via imapflow library:
- Connects to IMAP server (IMAPFlow, TLS on port 993)
- Fetches recent messages (configurable limit, default 20)
- Extracts: from, fromEmail, subject, date, snippet (200 chars)
- Thread-to-contact matching (PRD §6.1):
  1. Match sender email against persons table
  2. If no person match, extract domain and match against company.website
  3. Returns matchedCompany + matchedPerson for each email
- Audit-logged (action: crm.mailsync:imap)
- Zod validated (host, port, user, password, folder, limit)
- 502 on IMAP connection failure with detail
- 400 on validation failure

Tested: invalid creds → 502 'IMAP connection failed', missing host → 400
2026-10-27 22:50:50 +00:00
..

aminer-daily-paper

Personalized academic paper recommendation via the AMiner rec5 API. Intended for OpenClaw or similar hosts: the scripts return JSON with Markdown in reply_text; the host sends or displays that content.

Requirements

Installation

pip install -r requirements.txt

Usage

/aminer-dp
/aminer-dp topics: multimodal agents, tool-use
/aminer-dp scholar: Jie Tang org: Tsinghua
/aminer-dp aminer_author_id: 696259801cb939bc391d3a37 topics: RAG, LLM
recommend me recent papers on multimodal agents

The model (running the skill) extracts topics, author_name, author_org, or aminer_author_id from natural language input before calling the script.

How It Works

  1. handle_trigger.py parses the trigger text and runs run_pipeline.py as a subprocess.
  2. run_pipeline.py calls the AMiner rec5 API and writes papers_summarized.json under the output directory.
  3. The pipeline returns final_response: "TEXT" and reply_text (Markdown). No Feishu card builders or openclaw dispatch live in this skill.

API

POST https://publicapi.chatglm.cn/chatglm_public/skill/aminer/api/v3/paper/rec5
Authorization: <AMINER_API_KEY>

Key request fields: aminer_author_id, author_name, author_org, topics, size, language_sort.
At least one of aminer_author_id, author_name, or topics should be provided. When none are given, the API returns personalized recommendations via the token-linked account.