String Protein Interaction Analysis With Omicverse
majiayu000/claude-skill-registry
Help Claude query STRING for protein interactions, build PPI graphs with pyPPI, and render styled network figures for bulk gene lists.
Analyze protein-protein interaction enrichment using STRING database to identify functional networks and pathway associations.
$ npx skills add InternScience/scp --skill string-ppi-enrichment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install InternScience/scp string-ppi-enrichment --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/string-ppi-enrichment .claude/skills/string-ppi-enrichment && 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 "string-ppi-enrichment" agent skill from https://github.com/InternScience/scp/tree/main/skills/string-ppi-enrichment into .claude/skills/string-ppi-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "string-ppi-enrichment", 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/string-ppi-enrichmentType 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 string-ppi-enrichment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install InternScience/scp string-ppi-enrichment --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/string-ppi-enrichment .agents/skills/string-ppi-enrichment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "string-ppi-enrichment" agent skill from https://github.com/InternScience/scp/tree/main/skills/string-ppi-enrichment into .agents/skills/string-ppi-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "string-ppi-enrichment", 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 string-ppi-enrichment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install InternScience/scp string-ppi-enrichment --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/string-ppi-enrichment .cursor/skills/string-ppi-enrichment && 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 "string-ppi-enrichment" agent skill from https://github.com/InternScience/scp/tree/main/skills/string-ppi-enrichment into .cursor/skills/string-ppi-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "string-ppi-enrichment", 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/string-ppi-enrichment--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 string-ppi-enrichment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install InternScience/scp string-ppi-enrichment --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/string-ppi-enrichment .gemini/skills/string-ppi-enrichment && 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 "string-ppi-enrichment" agent skill from https://github.com/InternScience/scp/tree/main/skills/string-ppi-enrichment into .gemini/skills/string-ppi-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "string-ppi-enrichment", 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 string-ppi-enrichmentInstalls 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 string-ppi-enrichment -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/string-ppi-enrichment .github/skills/string-ppi-enrichment && 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 "string-ppi-enrichment" agent skill from https://github.com/InternScience/scp/tree/main/skills/string-ppi-enrichment into .github/skills/string-ppi-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "string-ppi-enrichment", 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 string-ppi-enrichment -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 string-ppi-enrichment --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/string-ppi-enrichment .opencode/skills/string-ppi-enrichment && 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 "string-ppi-enrichment" agent skill from https://github.com/InternScience/scp/tree/main/skills/string-ppi-enrichment into .opencode/skills/string-ppi-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "string-ppi-enrichment", 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.
string-ppi-enrichmentAnalyze protein-protein interaction enrichment using STRING database to identify functional networks and pathway associations.
String Ppi Enrichment is an agent skill from InternScience/scp. Analyze protein-protein interaction enrichment using STRING database to identify functional networks and pathway associations.
Its SKILL.md is about 640 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.
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).
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.
String Ppi Enrichment loads about 635 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 35 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). 35 words, ~635 tokens.
.claude/skills/string-ppi-enrichment/SKILL.md (or your agent's skills folder).import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class OrigeneClient:
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
try:
self.transport = streamablehttp_client(url=self.server_url, headers={"SCP-HUB-API-KEY": self.api_key})
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()
return True
except Exception as e:
return False
async def disconnect(self):
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
def parse_result(self, result):
if isinstance(result, dict):
content_list = result.get("content") or []
else:
content_list = getattr(result, "content", []) or []
texts = []
for item in content_list:
if isinstance(item, dict):
if item.get("type") == "text":
texts.append(item.get("text") or "")
else:
if getattr(item, "type", None) == "text":
texts.append(getattr(item, "text", "") or "")
return "".join(texts)
## Initialize and use
client = OrigeneClient("https://scp.intern-ai.org.cn/api/v1/mcp/6/Origene-STRING", "<your-api-key>")
await client.connect()
result = await client.session.call_tool("get_ppi_enrichment", arguments={"identifiers": ["Pax6", "Sox2", "Nanog"], "species": 10090})
print(client.parse_result(result))
await client.disconnect()get_ppi_enrichmentidentifiers (list) - Gene/protein identifiers, species (int) - NCBI taxonomy ID© 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/string-ppi-enrichment 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.
String Ppi Enrichment 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 |
|---|---|---|---|---|---|---|
| String Ppi Enrichment this skillInternScience/scp | 169 | 1 repos | ~635 | Automated safety check: Pass | MIT | |
| String Protein Interaction Analysis With Omicversemajiayu000/claude-skill-registry | 666 | 2 repos | ~749 | Automated safety check: Pass | MIT | |
| String Databasedavila7/claude-code-templates | 32k | 11 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Protein Interaction Network AnalysisFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 2 repos | ~3.7k | Automated safety check: Notes | None | |
| String Databaseaipoch/medical-research-skills | 2k | — | ~928 | Automated safety check: Pass | MIT | |
| String Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~731 | Automated safety check: Pass | Apache-2.0 |
majiayu000/claude-skill-registry
Help Claude query STRING for protein interactions, build PPI graphs with pyPPI, and render styled network figures for bulk gene lists.
davila7/claude-code-templates
Query STRING API for protein-protein interactions (59M proteins, 20B interactions).
FreedomIntelligence/OpenClaw-Medical-Skills
Analyze protein-protein interaction networks using STRING, BioGRID, and SASBDB databases.
aipoch/medical-research-skills
Access the STRING database to map identifiers, retrieve protein–protein interaction networks, and run functional/PPI enrichment when you need interaction context for a gene/protein set.
google-deepmind/science-skills
Query the STRING database for protein-protein interactions (PPIs), functional enrichment, and homology.
jaechang-hits/SciAgent-Skills
Query STRING REST API for PPIs (59M proteins, 20B interactions, 5000+ species).
InternScience/scp
Given an rsID, query multiple databases (dbSNP, FAVOR, GWAS Catalog, ClinVar, gnomAD, PharmGKB, ClinGen) for comprehensive annotation.
InternScience/scp
Use ESMFold model to predict 3D structure of the input protein sequence.
InternScience/scp
Given a protein sequence and its structure, employ ProSST model to predict mutation effects and obtain the top-k mutated sequences.
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.
Analyze protein-protein interaction enrichment using STRING database to identify functional networks and pathway associations. String Ppi Enrichment is an agent skill from InternScience/scp. Analyze protein-protein interaction enrichment using STRING database to identify functional networks and pathway associations.
Run `npx skills add InternScience/scp --skill string-ppi-enrichment -a claude-code`. Or copy the skill folder (skills/string-ppi-enrichment in InternScience/scp) into .claude/skills/string-ppi-enrichment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add InternScience/scp --skill string-ppi-enrichment -a codex`. Or copy the skill folder (skills/string-ppi-enrichment in InternScience/scp) into .agents/skills/string-ppi-enrichment 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 string-ppi-enrichment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/string-ppi-enrichment, .gemini/skills/string-ppi-enrichment, .github/skills/string-ppi-enrichment and .opencode/skills/string-ppi-enrichment in your project.
SKILL.md names no scripts, command-line tools or credentials: String Ppi Enrichment 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.
String Ppi Enrichment is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 635 tokens (SKILL.md is roughly 2.5k 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 String Ppi Enrichment: String Protein Interaction Analysis With Omicverse (majiayu000/claude-skill-registry, 666 stars), String Database (davila7/claude-code-templates, 32k stars), Protein Interaction Network Analysis (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and String Database (aipoch/medical-research-skills, 2k 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.