Individual skill

scispark

从天文关键词、论文或已有结果提出可检验的研究假设,分别记录事实、推测和检验方法,并保留论文编号与核验状态。

skills/scispark/SKILL.md

Read pinned source

Source commit ac08bad03f26231f0ed8c8462929b28733cf729f

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
331
Repository last updated
Oct 19, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 研究假设与检验方法

从关键词、论文或已有结果提出可检验的天文假设。事实、推测、方法与最终方案分别记录,每个关键论述应有文献依据或明确的限制。

## 怎么开始

明确关键词、研究范围、已有论文与本次要做到哪一步。天文证据要求见 [astronomy.md](astronomy.md)。初始化脚本在本技能目录运行:

```bash
python scripts/init_scispark_workspace.py "稀疏光变早期分类"
```

默认工作目录为 `./scispark/<课题名>/`。脚本 `search_arxiv.py` 查询 arXiv;ADS 检索或已有候选可由文献检索技能提供。正常推理使用当前模型,不需要另申请模型 API 密钥。
Back to top