技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
sciatlas-idea-evaluate【数据与研究】Use only SciAtlas search-papers to take a novice user from zero setup to an evidence-grounded evaluation of a research idea's novelty, feasibility, soundness, and differentiation. Trigger when the user asks whether an idea is worth pursuing or needs literature-backed critique.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this skill to evaluate a research idea with evidence from search-papers only.
search-papers.sciatlas executable exists without invoking a SciAtlas command: use Get-Command sciatlas -ErrorAction SilentlyContinue on Windows PowerShell or command -v sciatlas on macOS/Linux. Install if missing with python -m pip install -e ./sciatlas or python -m pip install "git+https://github.com/zjunlp/SciAtlas.git#subdirectory=sciatlas".SCIATLAS_API_KEY is available, open or provide http://sciatlas.openkg.cn/register.sciatlas_xxx token when registration finishes.$env:SCIATLAS_API_BASE_URL = "http://sciatlas.openkg.cn"
$env:SCIATLAS_API_KEY = "<token>"
setx SCIATLAS_API_BASE_URL "http://sciatlas.openkg.cn"
setx SCIATLAS_API_KEY "<token>"
export SCIATLAS_API_BASE_URL="http://sciatlas.openkg.cn"
export SCIATLAS_API_KEY="<token>"
search-papers for any token smoke test.Convert the idea into four claims:
Run only search-papers. Use one direct search and, if needed, one stress-test search:
sciatlas search-papers --retrieval-mode hybrid --query "<research idea>" --keyword "high:<core mechanism>" --keyword "middle:<application domain>" --top-k 8 --top-keywords 0 --max-titles 0 --max-refs 0 --bias-keyword high --bias-related high --bias-citation low --bias-exploration low --ranking-profile precision --report-max-items 8
Stress-test novelty by searching for the closest alternative wording:
sciatlas search-papers --retrieval-mode hybrid --query "<closest competing formulation>" --keyword "high:<problem>" --keyword "middle:<neighbor method>" --top-k 8 --top-keywords 0 --max-titles 0 --max-refs 0 --bias-related high --ranking-profile precision --report-max-items 8
Read report.md and response.json. Build an evaluation ledger:
Score each dimension as High, Medium, Low, or Unknown:
For each score:
Return:
search-papers query.