Agent skill

Drugsda Esmfold

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

Install Drugsda Esmfold

skills CLI

$ npx skills add InternScience/scp --skill drugsda-esmfold -a claude-code

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

GitHub CLI

$ gh skill install InternScience/scp drugsda-esmfold --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-esmfold .claude/skills/drugsda-esmfold && 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/

Paste into Claude Code

Install the "drugsda-esmfold" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-esmfold into .claude/skills/drugsda-esmfold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-esmfold", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/InternScience/scp/tree/main/skills/drugsda-esmfold

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add InternScience/scp --skill drugsda-esmfold -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install InternScience/scp drugsda-esmfold --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/drugsda-esmfold .agents/skills/drugsda-esmfold && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "drugsda-esmfold" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-esmfold into .agents/skills/drugsda-esmfold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-esmfold", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add InternScience/scp --skill drugsda-esmfold -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install InternScience/scp drugsda-esmfold --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/drugsda-esmfold .cursor/skills/drugsda-esmfold && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "drugsda-esmfold" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-esmfold into .cursor/skills/drugsda-esmfold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-esmfold", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/InternScience/scp.git --path skills/drugsda-esmfold

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add InternScience/scp --skill drugsda-esmfold -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install InternScience/scp drugsda-esmfold --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/drugsda-esmfold .gemini/skills/drugsda-esmfold && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "drugsda-esmfold" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-esmfold into .gemini/skills/drugsda-esmfold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-esmfold", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install InternScience/scp drugsda-esmfold

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add InternScience/scp --skill drugsda-esmfold -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

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

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "drugsda-esmfold" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-esmfold into .github/skills/drugsda-esmfold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-esmfold", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add InternScience/scp --skill drugsda-esmfold -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install InternScience/scp drugsda-esmfold --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/drugsda-esmfold .opencode/skills/drugsda-esmfold && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "drugsda-esmfold" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-esmfold into .opencode/skills/drugsda-esmfold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-esmfold", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: drugsda-esmfold
GitHub stars: 170
Used in: 1 other repo
Token cost: ~721 tokens
SKILL.md length: 20 words
Files: 1
Skills in repo: 73
Repo updated: Jun 3, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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

Works in 2 steps: MCP Server Definition → ESMFold
Tasks that involve Protein structure and design
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Drugsda Esmfold is an agent skill from InternScience/scp. Use ESMFold model to predict 3D structure of the input protein sequence.

Its SKILL.md is about 720 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 Protein structure and design. The licence is MIT.

When your agent uses it

Tasks that involve Protein structure and design

Example prompts

“/drugsda-esmfold”

Requirements

Python 3

Workflow steps

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

MCP Server Definition
ESMFold

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 Esmfold loads about 721 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 20 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~22
When it runs · the whole SKILL.md, loaded when a task matches: ~721

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). 20 words, ~721 tokens.

Download SKILL.mdSave it as .claude/skills/drugsda-esmfold/SKILL.md (or your agent's skills folder).

name: drugsda-esmfold
description: Use ESMFold model to predict 3D structure of the input protein sequence.
license: MIT license
metadata.skill-author: PJLab

Protein Structure Prediction

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. ESMFold

The description of tool pred_protein_structure_esmfold.

tex

Use the ESMFold model for protein 3D structure prediction.
Args:
    sequence (str): Protein sequence
Return:
    status: success/error
    msg: message
    pdb_path (str): The predicted pdb file path

How to use tool pred_protein_structure_esmfold :

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(
    "pred_protein_structure_esmfold",
    arguments={
        "sequence": sequence
    }
)
result = client.parse_result(response)
pred_protein_structure = result["pdb_path"]

await client.disconnect()

Files

Just SKILL.md in skills/drugsda-esmfold 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 Esmfold 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 Esmfold compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Drugsda Esmfold this skillInternScience/scp	170	1 repos	~721	Automated safety check: Pass	MIT	4 mo ago
Alphafold Database Fetch And Analyzegoogle-deepmind/science-skills	3.2k	2 repos	~1.2k	Automated safety check: Pass	Apache-2.0	yesterday
Alphafoldadaptyvbio/protein-design-skills	164	3 repos	~1.2k	Automated safety check: Pass	MIT	4 mo ago
Pymol VisualizationChatMol/ChatMol	373	—	~1.2k	Automated safety check: Pass	MIT	6 mo ago
Complexa Binder DesignNVIDIA-BioNeMo/bionemo-agent-toolkit	479	—	~3.1k	Automated safety check: Notes	Apache-2.0	yesterday
Bindcraftadaptyvbio/protein-design-skills	164	3 repos	~1.3k	Automated safety check: Pass	MIT	4 mo ago

Similar skills

Alphafold Database Fetch And Analyze
google-deepmind/science-skills
Retrieve and analyze AlphaFold predicted structures for a protein.
3.2k GitHub starsUsed in 2 repos~1.2k tokens
Research & ScienceAuto-check passed
Alphafold
adaptyvbio/protein-design-skills
Validate protein designs using AlphaFold2 structure prediction.
164 GitHub starsUsed in 3 repos~1.2k tokens
Research & ScienceAuto-check passed
Pymol Visualization
ChatMol/ChatMol
Generate publication-quality molecular visualization images using PyMOL.
373 GitHub stars~1.2k tokensUpdated 6 mo ago
Research & ScienceAuto-check passed
Complexa Binder Design
NVIDIA-BioNeMo/bionemo-agent-toolkit
Run a complete protein binder design campaign with NVIDIA Proteina-Complexa: resolve a target structure and hotspots from a name/sequence/PDB, co-design binder sequence+structure with reward-guided…
479 GitHub stars~3.1k tokensUpdated yesterday
Research & ScienceAuto-check: notes
Bindcraft
adaptyvbio/protein-design-skills
End-to-end binder design using BindCraft hallucination. An agent skill from adaptyvbio/protein-design-skills.
164 GitHub starsUsed in 3 repos~1.3k 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

Questions about Drugsda Esmfold

What does Drugsda Esmfold do?

Use ESMFold model to predict 3D structure of the input protein sequence. Drugsda Esmfold is an agent skill from InternScience/scp. Use ESMFold model to predict 3D structure of the input protein sequence.

When should I use Drugsda Esmfold?

Drugsda Esmfold fits situations like: tasks that involve Protein structure and design.

How do I install Drugsda Esmfold in Claude Code?

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

How do I install Drugsda Esmfold in Codex?

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

Can I use Drugsda Esmfold 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-esmfold -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-esmfold, .gemini/skills/drugsda-esmfold, .github/skills/drugsda-esmfold and .opencode/skills/drugsda-esmfold in your project.

What does Drugsda Esmfold need to run?

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

Does Drugsda Esmfold 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 Esmfold 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 Esmfold use?

Drugsda Esmfold 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 Esmfold use?

About 721 tokens (SKILL.md is roughly 2.9k 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 Esmfold?

Skills that share tags, products or a category with Drugsda Esmfold: Alphafold Database Fetch And Analyze (google-deepmind/science-skills, 3.2k stars), Alphafold (adaptyvbio/protein-design-skills, 164 stars), Pymol Visualization (ChatMol/ChatMol, 373 stars) and Complexa Binder Design (NVIDIA-BioNeMo/bionemo-agent-toolkit, 479 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Drugsda Esmfold?

InternScience (a GitHub organization) maintains it in InternScience/scp, which has 170 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.

Drugsda Esmfold

Install Drugsda Esmfold

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Protein Structure Prediction

Usage

1. MCP Server Definition

2. ESMFold

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

Alphafold Database Fetch And Analyze

Alphafold

Pymol Visualization

Complexa Binder Design

Bindcraft

DiffDock Molecular Docking

More from InternScience/scp

Comprehensive Variant Annotation

Atmospheric Science Calculations

Biomedical Web Search

Buoyancy Acceleration Calculation

Capacitance Calculation

Chembl Molecule Search

Questions about Drugsda Esmfold

Install Drugsda Esmfold

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Protein Structure Prediction

Usage

1. MCP Server Definition

2. ESMFold

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

More from InternScience/scp

Related

Questions about Drugsda Esmfold