Agent skill

Drugsda Data Valid

by InternScience in InternScience/scp

Check if the input protein sequence or molecule SMILES string is valid.

MITAuto-check passedResearch & Science

Install Drugsda Data Valid

skills CLI
$ npx skills add InternScience/scp --skill drugsda-data-valid -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install InternScience/scp drugsda-data-valid --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drugsda-data-valid .claude/skills/drugsda-data-valid && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
drugsda-data-valid
GitHub stars
169
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
40 words
Files
1
Skills in repo
73
Repo updated
First seen
Licence
MIT

At a glance

Check if the input protein sequence or molecule SMILES string is valid.

  • Works in 3 steps: MCP Server Definition → Protein Sequence Valid Check → Molecule SMILCES Valid Check
  • Tasks that involve Drug discovery and cheminformatics
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Drugsda Data Valid is an agent skill from InternScience/scp. Check if the input protein sequence or molecule SMILES string is valid.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Drug discovery and cheminformatics. The licence is MIT.

When your agent uses it

  • Tasks that involve Drug discovery and cheminformatics

Example prompts

  • “/drugsda-data-valid”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. MCP Server Definition
  2. Protein Sequence Valid Check
  3. Molecule SMILCES Valid Check

What it can do on your machine

Read from SKILL.md and the folder at commit cea5398. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python and tex).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Drugsda Data Valid loads about 1k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 40 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from InternScience/scp at commit cea5398, republished under its MIT licence (© InternScience). 40 words, ~1,022 tokens.

Download SKILL.mdSave it as .claude/skills/drugsda-data-valid/SKILL.md (or your agent's skills folder).
name
drugsda-data-valid
description
Check if the input protein sequence or molecule SMILES string is valid.
license
MIT license
metadata.skill-author
PJLab

Protein or Molecule Data Check

Usage

1. MCP Server Definition
python
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession

class DrugSDAClient:    
    def __init__(self, server_url: str):
        self.server_url = server_url
        self.session = None
        
    async def connect(self):
        print(f"server url: {self.server_url}")
        try:
            self.transport = streamablehttp_client(
                url=self.server_url,
                headers={"SCP-HUB-API-KEY": "sk-a0033dde-b3cd-413b-adbe-980bc78d6126"}
            )
            self.read, self.write, self.get_session_id = await self.transport.__aenter__()
            
            self.session_ctx = ClientSession(self.read, self.write)
            self.session = await self.session_ctx.__aenter__()

            await self.session.initialize()
            session_id = self.get_session_id()
            
            print(f"✓ connect success")
            return True
            
        except Exception as e:
            print(f"✗ connect failure: {e}")
            import traceback
            traceback.print_exc()
            return False
    
    async def disconnect(self):
        try:
            if self.session:
                await self.session_ctx.__aexit__(None, None, None)
            if hasattr(self, 'transport'):
                await self.transport.__aexit__(None, None, None)
            print("✓ already disconnect")
        except Exception as e:
            print(f"✗ disconnect error: {e}")
    
    def parse_result(self, result):
        try:
            if hasattr(result, 'content') and result.content:
                content = result.content[0]
                if hasattr(content, 'text'):
                    return json.loads(content.text)
            return str(result)
        except Exception as e:
            return {"error": f"parse error: {e}", "raw": str(result)}
2. Protein Sequence Valid Check

The description of tool is_valid_protein_sequence.

tex
Check if the input protein sequence string is valid.
Args:
    sequences (List[str]): List of input protein sequences
Return:
    status (str): success/partial_success/error
    msg (str): message
    valid_res (List[dict]): List of dict, each containing the keys 'sequence' and 'is_valid'.
        --sequence (str): A protein sequence of the input sequences list 
        --is_valid (bool): Is the protein sequence valid or not

How to use tool is_valid_protein_sequence :

python
client = DrugSDAClient("https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool")
if not await client.connect():
    print("connection failed")
    return

response = await client.session.call_tool(
    "is_valid_protein_sequence",
    arguments={
        "sequences": sequence_list
    }
)
result = client.parse_result(response)
valid_res = result["valid_res"]

await client.disconnect() 
3. Molecule SMILCES Valid Check

The description of tool is_valid_smiles.

tex
Check if the input SMILES string is valid
Args:
    smiles_list (List[str]): List of input SMILES strings, (e.g., ["N[C@@H](Cc1ccc(O)cc1)C(=O)O", "CC(C)C1=CC=CC=C1"])
Return:
    status (str): success/partial_success/error
    msg (str): message
    valid_res (List[dict]): List of dict, each containing the keys 'smiles' and 'is_valid'. 
        --smiles (str): A SMILES string of smiles_list
        --is_valid (bool): Is the SMILES valid or not

How to use tool is_valid_smiles :

python
client = DrugSDAClient("https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool")
if not await client.connect():
    print("connection failed")
    return

response = await client.session.call_tool(
    "is_valid_smiles",
    arguments={
        "smiles_list": smiles_list
    }
)
result = client.parse_result(response)
valid_res = result["valid_res"]

await client.disconnect() 

© InternScience, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/drugsda-data-valid of InternScience/scp.

Open the folder on GitHubat commit cea5398

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in InternScience/scp, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Drugsda Data Valid next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Drugsda Data Valid compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Drugsda Data Valid this skillInternScience/scp1691 repos~1kAutomated safety check: PassMIT
MolecodeAtomFlow-AI/MoleCode305—~1.9kAutomated safety check: PassMIT
Drug DiscoveryTommy-yw/RunbookHermes5461 repos~2.3kAutomated safety check: PassMIT
DiffDock Molecular DockingK-Dense-AI/scientific-agent-skills48k1 repos~3kAutomated safety check: NotesMIT
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Edu Chem Reactionwy51ai/edulab1.4k—~1.2kAutomated safety check: PassApache-2.0

Similar skills

  • Molecode

    AtomFlow-AI/MoleCode

    A skill your agent uses for deterministic molecule understanding, graph-level editing, generation, and validation with MoleCode — an explicit Mermaid graph in which every atom and bond is a typed…

    305 GitHub stars~1.9k tokensUpdated 4 mo ago
    Research & ScienceAuto-check passed
  • Drug Discovery

    Tommy-yw/RunbookHermes

    Pharmaceutical research assistant for drug discovery workflows.

    546 GitHub starsUsed in 1 repo~2.3k tokens
    Research & ScienceAuto-check passed
  • DiffDock Molecular Docking

    K-Dense-AI/scientific-agent-skills

    Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity.

    48k GitHub starsUsed in 1 repo~3k tokens
    Research & ScienceAuto-check: notes
  • Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.

    617 GitHub starsUsed in 1 repo~2k tokens
    Research & ScienceAuto-check passed
  • Edu Chem Reaction

    wy51ai/edulab

    把一个化学反应做成自包含的微观 3D 交互演示网页:左/上为 Three.js 可交互分子动画 (拖滑块看断键·成键·原子重组,分步高亮),右为 KaTeX 反应方程 + 分步讲解 + 原子守恒计数 + 可选能量-反应进程曲线。支持三入口——给定文字反应/方程、随机出题、上传图片识别后演示。

    1.4k GitHub stars~1.2k tokensUpdated 9 days ago
    Research & ScienceAuto-check passed
  • Biopipelines

    locbp-uzh/biopipelines

    Design and run computational protein and ligand workflows on a GPU: binder and enzyme design, de novo backbone generation, inverse folding and sequence redesign, structure prediction, protein-ligand…

    109 GitHub stars~2.4k tokensUpdated 7 days ago
    Research & ScienceAuto-check passed

More from InternScience/scp

All 73 skills in this repo
  • Given an rsID, query multiple databases (dbSNP, FAVOR, GWAS Catalog, ClinVar, gnomAD, PharmGKB, ClinGen) for comprehensive annotation.

    169 GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Drugsda Esmfold

    InternScience/scp

    Use ESMFold model to predict 3D structure of the input protein sequence.

    169 GitHub starsUsed in 2 repos~721 tokens
    Auto-check passed
  • Drugsda Prosst

    InternScience/scp

    Given a protein sequence and its structure, employ ProSST model to predict mutation effects and obtain the top-k mutated sequences.

    169 GitHub starsUsed in 2 repos~949 tokens
    Auto-check passed
  • Calculate atmospheric parameters including Coriolis parameter, geostrophic wind, heat index, potential temperature, and dewpoint for meteorology and climate science.

    169 GitHub starsUsed in 1 repo~2.1k tokens
    Auto-check passed
  • Biomedical Web Search

    InternScience/scp

    Search biomedical literature and web content using Tavily search engine for research and clinical information.

    169 GitHub starsUsed in 1 repo~598 tokens
    Auto-check passed
  • Calculate buoyancy forces and acceleration for fluid mechanics and hydrodynamics analysis.

    169 GitHub starsUsed in 1 repo~540 tokens
    Auto-check passed

Questions about Drugsda Data Valid

What does Drugsda Data Valid do?

Check if the input protein sequence or molecule SMILES string is valid. Drugsda Data Valid is an agent skill from InternScience/scp. Check if the input protein sequence or molecule SMILES string is valid.

When should I use Drugsda Data Valid?

Drugsda Data Valid fits situations like: tasks that involve Drug discovery and cheminformatics.

How do I install Drugsda Data Valid in Claude Code?

Run `npx skills add InternScience/scp --skill drugsda-data-valid -a claude-code`. Or copy the skill folder (skills/drugsda-data-valid in InternScience/scp) into .claude/skills/drugsda-data-valid in your project. Claude Code loads it when a task matches its description.

How do I install Drugsda Data Valid in Codex?

Run `npx skills add InternScience/scp --skill drugsda-data-valid -a codex`. Or copy the skill folder (skills/drugsda-data-valid in InternScience/scp) into .agents/skills/drugsda-data-valid in your project. Codex loads it when a task matches its description.

Can I use Drugsda Data Valid in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add InternScience/scp --skill drugsda-data-valid -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/drugsda-data-valid, .gemini/skills/drugsda-data-valid, .github/skills/drugsda-data-valid and .opencode/skills/drugsda-data-valid in your project.

What does Drugsda Data Valid need to run?

SKILL.md names no scripts, command-line tools or credentials: Drugsda Data Valid is instructions for the agent only. Our summary lists: Python 3.

Does Drugsda Data Valid access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Drugsda Data Valid safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Drugsda Data Valid use?

Drugsda Data Valid is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Drugsda Data Valid use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Drugsda Data Valid?

Skills that share tags, products or a category with Drugsda Data Valid: Molecode (AtomFlow-AI/MoleCode, 305 stars), Drug Discovery (Tommy-yw/RunbookHermes, 546 stars), DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Drugsda Data Valid?

InternScience (a GitHub organization) maintains it in InternScience/scp, which has 169 GitHub stars. The repository holds 73 skills in this directory. The repository was last updated on June 3, 2026.

Source: InternScience/scp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.