通过 Skills CLI 安装
使用 npx skills add 将该 skill 安装到选中的 Agent。Phase 0 命令均为按规则生成，尚未验证。
Codex
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/scientific-skills/protocolsio-integration/SKILL.md -g -a codex -y去掉 -g 可改为项目级安装
#5
该品类排名 #5 / 共 48 个· Ranked #5 of 48 in this category
protocolsio integration
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protoc…
安装前须知Before you install
!需要 API KeyNeeds an API key
!会访问网络Accesses the network
!需要第三方账号Needs a third-party account
编辑结论· Editor's verdict
Auto-published by GitHub discovery based on star threshold.
✓
适合什么场景Best for
- High-star GitHub skill discovery candidate.
✗
不适合什么场景Not for
- Sensitive or production workflows without local review.
vs 其他选择vs alternatives
完整对比表Full compare table →#1adaptyv
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
差异 · diffHow to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports adaptyv, adaptyvsdk, or FoundryClient, or references foundry-api-public.adaptyvbio.com.
#2peer review
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific…
差异 · diffStructured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writin…
#3depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity…
差异 · diffQuery the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
维度对比side-by-side compare
和同类的关键维度差异| 当前 · this skillprotocolsio integration | adaptyv | peer review | depmap | |
|---|---|---|---|---|
| 评分 · rating | — | — | — | — |
| 星标 · stars | 21k | 21k | 21k | 21k |
| 风险 · risk | 自动筛查 · automated | 中风险 · med risk | 中风险 · med risk | 中风险 · med risk |
| 最适合 · best for | High-star GitHub skill discovery candidate. | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. | Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific… | Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity… |
| 不适合 · not for | Sensitive or production workflows without local review. | 需要比当前目录条目更严格人工复核的工作流。 | 需要比当前目录条目更严格人工复核的工作流。 | 需要比当前目录条目更严格人工复核的工作流。 |
审计备注Audit notes
未独立审计 · not audited源码Source公开 GitHub · open on GitHub✓
作者Author社区贡献 · community!
网络访问Network未独立审计 · not audited!
文件写入Filesystem未独立审计 · not audited!
依赖Dependencies未独立审计 · not audited!
遥测Telemetry无 · none✓