Search Input
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing templates, rendered HTML, or shared components related to Make search inputs accessible.
Generate new peptide molecules sampling from the input peptide sequence.
$ npx skills add InternScience/scp --skill drugsda-peptide-sampling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install InternScience/scp drugsda-peptide-sampling --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drugsda-peptide-sampling .claude/skills/drugsda-peptide-sampling && rm -rf skills-srcUse ~/.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/
Install the "drugsda-peptide-sampling" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-peptide-sampling into .claude/skills/drugsda-peptide-sampling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-peptide-sampling", 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 install https://github.com/InternScience/scp/tree/main/skills/drugsda-peptide-samplingType 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.
$ npx skills add InternScience/scp --skill drugsda-peptide-sampling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install InternScience/scp drugsda-peptide-sampling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/drugsda-peptide-sampling .agents/skills/drugsda-peptide-sampling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "drugsda-peptide-sampling" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-peptide-sampling into .agents/skills/drugsda-peptide-sampling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-peptide-sampling", 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.
$ npx skills add InternScience/scp --skill drugsda-peptide-sampling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install InternScience/scp drugsda-peptide-sampling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/drugsda-peptide-sampling .cursor/skills/drugsda-peptide-sampling && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "drugsda-peptide-sampling" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-peptide-sampling into .cursor/skills/drugsda-peptide-sampling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-peptide-sampling", 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 https://github.com/InternScience/scp.git --path skills/drugsda-peptide-sampling--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add InternScience/scp --skill drugsda-peptide-sampling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install InternScience/scp drugsda-peptide-sampling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/drugsda-peptide-sampling .gemini/skills/drugsda-peptide-sampling && rm -rf skills-srcUse ~/.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/
Install the "drugsda-peptide-sampling" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-peptide-sampling into .gemini/skills/drugsda-peptide-sampling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-peptide-sampling", 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.
$ gh skill install InternScience/scp drugsda-peptide-samplingInstalls 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).
$ npx skills add InternScience/scp --skill drugsda-peptide-sampling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/drugsda-peptide-sampling .github/skills/drugsda-peptide-sampling && rm -rf skills-srcUse ~/.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/
Install the "drugsda-peptide-sampling" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-peptide-sampling into .github/skills/drugsda-peptide-sampling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-peptide-sampling", 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.
$ npx skills add InternScience/scp --skill drugsda-peptide-sampling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install InternScience/scp drugsda-peptide-sampling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/drugsda-peptide-sampling .opencode/skills/drugsda-peptide-sampling && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "drugsda-peptide-sampling" agent skill from https://github.com/InternScience/scp/tree/main/skills/drugsda-peptide-sampling into .opencode/skills/drugsda-peptide-sampling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugsda-peptide-sampling", 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.
drugsda-peptide-samplingGenerate new peptide molecules sampling from the input peptide sequence.
Drugsda Peptide Sampling is an agent skill from InternScience/scp. Generate new peptide molecules sampling from the input peptide sequence.
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cea5398. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Drugsda Peptide Sampling loads about 890 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 20 words of instructions outside code blocks.
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.
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.
The full file from InternScience/scp at commit cea5398, republished under its MIT licence (© InternScience). 20 words, ~890 tokens.
.claude/skills/drugsda-peptide-sampling/SKILL.md (or your agent's skills folder).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)}The description of tool pepinvent_peptide_sampling_by_peptide.
Generate new peptide molecules sampling from the input peptide sequence.
Args:
peptide (str): SMILES representation of a peptide sequence, with amino acid residues separated by '|?|', e.g., 'N[C@@H](CCCCN)C(=O)|?|N[C@@H](CC(C)C)C(=O)|?|N[C@@H](CCCNC(=N)N)C(=O)'
n (int): Number of molecules for sampling
filter_preset (str): Filter preset, options: ['none', 'minimal', 'default', 'strict'], default is 'default'
mw_min (float): Minimum molecular weight, default is 0.0
mw_max (float): Maximum molecular weight, default is 0.0
Return:
status (str): success/error
msg (str): message
save_smiles_file (str): Path to the saved SMILES file
output_smiles_list (List[str]): List of generated SMILES stringsHow to use tool pepinvent_peptide_sampling_by_peptide :
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(
"pepinvent_peptide_sampling_by_peptide",
arguments={
"peptide": smiles,
"n": n,
"filter_preset": filter_type,
"mw_min": mw_min,
"mw_max": mw_max
}
)
result = client.parse_result(response)
output_smiles_list = result["output_smiles_list"]
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
Just SKILL.md in skills/drugsda-peptide-sampling of InternScience/scp.
Open the folder on GitHubat commit cea5398
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.
Drugsda Peptide Sampling 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Drugsda Peptide Sampling this skillInternScience/scp | 169 | 1 repos | ~890 | Automated safety check: Pass | MIT | |
| Search Inputthedaviddias/Front-End-Checklist | 74k | — | ~402 | Automated safety check: Pass | MIT | |
| Input Typesthedaviddias/Front-End-Checklist | 74k | — | ~487 | Automated safety check: Pass | MIT | |
| Paste Inputsthedaviddias/Front-End-Checklist | 74k | — | ~443 | Automated safety check: Pass | MIT | |
| Adk Sample Creatorgoogle/adk-python | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Testing Course Samplesmicrosoft/ai-agents-for-beginners | 77k | — | ~1.1k | Automated safety check: Notes | MIT |
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing templates, rendered HTML, or shared components related to Make search inputs accessible.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing templates, rendered HTML, or shared components related to Use semantic input type attributes.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Allow pasting into form inputs.
google/adk-python
Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.
microsoft/ai-agents-for-beginners
A skill your agent uses when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration.
microsoft/ai-agents-for-beginners
Use wen dem ask you to validate, test, smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI configuration.
InternScience/scp
Given an rsID, query multiple databases (dbSNP, FAVOR, GWAS Catalog, ClinVar, gnomAD, PharmGKB, ClinGen) for comprehensive annotation.
InternScience/scp
Calculate atmospheric parameters including Coriolis parameter, geostrophic wind, heat index, potential temperature, and dewpoint for meteorology and climate science.
InternScience/scp
Search biomedical literature and web content using Tavily search engine for research and clinical information.
InternScience/scp
Calculate buoyancy forces and acceleration for fluid mechanics and hydrodynamics analysis.
InternScience/scp
Calculate electrical capacitance from geometric parameters and dielectric properties for circuit design.
InternScience/scp
Search ChEMBL database for molecule information by name to retrieve bioactivity data and chemical structures.
Generate new peptide molecules sampling from the input peptide sequence. Drugsda Peptide Sampling is an agent skill from InternScience/scp. Generate new peptide molecules sampling from the input peptide sequence.
Run `npx skills add InternScience/scp --skill drugsda-peptide-sampling -a claude-code`. Or copy the skill folder (skills/drugsda-peptide-sampling in InternScience/scp) into .claude/skills/drugsda-peptide-sampling in your project. Claude Code loads it when a task matches its description.
Run `npx skills add InternScience/scp --skill drugsda-peptide-sampling -a codex`. Or copy the skill folder (skills/drugsda-peptide-sampling in InternScience/scp) into .agents/skills/drugsda-peptide-sampling in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add InternScience/scp --skill drugsda-peptide-sampling -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-peptide-sampling, .gemini/skills/drugsda-peptide-sampling, .github/skills/drugsda-peptide-sampling and .opencode/skills/drugsda-peptide-sampling in your project.
SKILL.md names no scripts, command-line tools or credentials: Drugsda Peptide Sampling is instructions for the agent only. Our summary lists: Python 3.
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.
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.
Drugsda Peptide Sampling is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 890 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Drugsda Peptide Sampling: Search Input (thedaviddias/Front-End-Checklist, 74k stars), Input Types (thedaviddias/Front-End-Checklist, 74k stars), Paste Inputs (thedaviddias/Front-End-Checklist, 74k stars) and Adk Sample Creator (google/adk-python, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.