用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/InternScience/MolClaw --skill molclaw-compound-retrieve命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
All tools utilized within MolClaw skills connect via the MCP protocol. This skill is the unified guide for connecting to the deployed MCP server before invoking tools.
Formats extracted execution patterns into standard MolClaw skill documents. Accepts structured input from the Skill Crystallization Meta-Workflow (L2-12) and outputs a properly formatted L1 or L2 skill document conforming to MolClaw conventions. This skill ensures that auto-generated skills are structurally identical to expert-curated skills, enabling seamless integration into the skill matching and loading pipeline.
Predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the input molecules.
基于 SOC 职业分类
正在显示 SKILL.md
| name | molclaw-compound-retrieve |
| description | Retrieve SMILES strings by compound name using PubChem with an NCI resolver fallback. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
Note:
molclaw-file-transfer before execution.molclaw-pdbfixer before execution.molclaw-scp-server to complete tool invocation.The description of tool retrieve_smiles_by_compoundname.
Retrieve SMILES strings by compound name. The service queries PubChem first and falls back to the NCI resolver when PubChem is busy or unavailable.
Args:
compound_names (List[str]): List of input compound names (e.g., ["aspirin", "caffeine"])
Return:
status (str): success/partial_success/error
msg (str): message
retrieve_smiles (List[dict]): List of dict, each containing the keys 'compound_name' and 'smiles'.
--compound_name (str): A compound name of compound_names
--smiles (str): The retrieved SMILES string, if it exists; otherwise, None.
How to use tool retrieve_smiles_by_compoundname :
response = await client.session.call_tool(
"retrieve_smiles_by_compoundname",
arguments={
"compound_names": compound_names
}
)
result = client.parse_result(response)
retrieve_smiles = result["retrieve_smiles"]