SKILLS & AGENTS/Skill 与 Agent·CLAUDE-SKILL

LabClaw

wu-yc/LabClaw

LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists)

打开仓库Open repository 官网Homepage

怎么装：Install: uv pip install gsutil

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+0.0%+0.0%

1.1k → 1.1k stars · 2 个快照1.1k → 1.1k stars · 2 snapshots

状态STATUS

长期未更新Not updated

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

04 / 安装04 / Install

怎么装How to install

$

Python 用户的完整版安装，包含命令行工具。The full install for Python users, including the command-line tool.

$

Python 用户的完整版安装，包含命令行工具。The full install for Python users, including the command-line tool.

两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.

05 / 限制与风险05 / Limits and risk

限制与风险Limits and risk

风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

存在风险Risk found

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/wu-yc/LabClaw
原始数据哈希Raw data hash: 6f63762b00364784c86185c37d5a2ca3
解析时间Parsed at: 2026-10-03T23:14:20.363Z
最后一次验证Last verified: 2026-10-04T08:53:33.891Z
增长测量时间Growth measured: 2026-10-03T23:24:59.911Z
发现查询Discovery queries: focus:token:code:token-usage
分类来源Category source: rules
焦点Focus: token (3)

静态扫描STATIC SCAN

01下载未知二进制Downloads an unknown binaryskills/bio/deeptools/SKILL.md
```
chmod +x qc_workflow.sh
```

02执行 Shell 命令Runs shell commandsskills/bio/alphafold-database/SKILL.md

> ⚠️ **Security Note**: The example below uses `shell=True` for simplicity. In production environments, prefer using `subprocess.run()` with

03读取 API KeyReads an API keyskills/bio/biopython/SKILL.md

6. **Respect NCBI rate limits** - Use API keys and proper delays

04读取 API KeyReads an API keyskills/bio/labarchive-integration/SKILL.md

Set up API access credentials and regional endpoints for LabArchives API integration.

这里只做静态扫描：读 README、SKILL.md 和依赖清单，不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.

完整解析证据 JSONFull parse evidence JSON

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  "apiKey": "nt variables): ```bash export ANTHROPIC_API_KEY=\"your-key-here\" # Optional: OpenAI, Azu",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 1,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 1,
      "productivity": 0
    },
    "primary": "skill-agent",
    "secondary": "claude-skill"
  },
  "localRuntime": "rained(\"esm3-sm-open-v1\").to(\"cuda\") # Create protein prompt protein = ES",
  "skillMdTotal": 240,
  "skillMdErrors": [
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      "path": "skills/bio/bioinformatics/SKILL.md",
      "error": "no frontmatter"
    }
  ],
  "treeTruncated": false,
  "categoryScores": {
    "data": 1,
    "agent": 1,
    "media": 0,
    "design": 1,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "59 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "skills/ directory with 240 markdown files",
      "weight": 0.75
    },
    {
      "signal": "README describes a Claude / Agent Skill",
      "weight": 0.7
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
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  "scannedSources": [
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    "skills/bio/arboreto/SKILL.md",
    "skills/bio/benchling-integration/SKILL.md",
    "skills/bio/bioinformatics/SKILL.md",
    "skills/bio/biomni/SKILL.md",
    "skills/bio/biopython/SKILL.md",
    "skills/bio/brenda-database/SKILL.md",
    "skills/bio/cellxgene-census/SKILL.md",
    "skills/bio/clinpgx-database/SKILL.md",
    "skills/bio/cobrapy/SKILL.md",
    "skills/bio/cosmic-database/SKILL.md",
    "skills/bio/deeptools/SKILL.md",
    "skills/bio/detect_common_wetlab_errors/SKILL.md",
    "skills/bio/dnanexus-integration/SKILL.md",
    "skills/bio/egocentric_view_to_structured_log/SKILL.md",
    "skills/bio/ena-database/SKILL.md",
    "skills/bio/ensembl-database/SKILL.md",
    "skills/bio/esm/SKILL.md",
    "skills/bio/etetoolkit/SKILL.md",
    "skills/bio/extract_experiment_data_from_video/SKILL.md",
    "skills/bio/flowio/SKILL.md",
    "skills/bio/gene-database/SKILL.md",
    "skills/bio/geniml/SKILL.md",
    "skills/bio/geo-database/SKILL.md",
    "skills/bio/gget/SKILL.md",
    "skills/bio/gtars/SKILL.md",
    "skills/bio/gwas-database/SKILL.md",
    "skills/bio/histolab/SKILL.md",
    "skills/bio/hmdb-database/SKILL.md",
    "skills/bio/hypogenic/SKILL.md",
    "skills/bio/kegg-database/SKILL.md",
    "skills/bio/labarchive-integration/SKILL.md",
    "skills/bio/lamindb/SKILL.md",
    "skills/bio/latchbio-integration/SKILL.md",
    "skills/bio/matchms/SKILL.md",
    "skills/bio/metabolomics-workbench-database/SKILL.md",
    "skills/bio/omero-integration/SKILL.md",
    "skills/bio/opentrons-integration/SKILL.md",
    "skills/bio/pathml/SKILL.md",
    "skills/bio/pdb-database/SKILL.md",
    "skills/bio/protocol_video_matching/SKILL.md",
    "skills/bio/protocolsio-integration/SKILL.md",
    "skills/bio/pydeseq2/SKILL.md",
    "skills/bio/pylabrobot/SKILL.md",
    "skills/bio/pyopenms/SKILL.md",
    "skills/bio/pysam/SKILL.md",
    "skills/bio/reactome-database/SKILL.md",
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    "skills/bio/scanpy/SKILL.md",
    "skills/bio/scikit-bio/SKILL.md",
    "skills/bio/scikit-survival/SKILL.md",
    "skills/bio/scvi-tools/SKILL.md",
    "skills/bio/string-database/SKILL.md",
    "skills/bio/tooluniverse-crispr-screen-analysis/SKILL.md",
    "skills/bio/tooluniverse-epigenomics/SKILL.md",
    "skills/bio/tooluniverse-expression-data-retrieval/SKILL.md",
    "skills/bio/tooluniverse-gene-enrichment/SKILL.md"
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  "skillMdFetched": 60
}