aminer-rec5 ยท git:20260812.c83047b ยท 2026-08-12 ยท sha256 e6ef64aad26e1005
aminer-rec5 git:20260812.c83047bA
Immutable. This exact content never changes and is served at /api/v1/blob/e6ef64aad26e1005.
---
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": "๐", "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` โ Feishu cards were dispatched successfully. Return exactly `NO_REPLY`.
- `TEXT` โ No Feishu target available. Present the `reply_text` value directly to the user.
- Any error โ 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` โ 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
```bash
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
```