Full Protein Characterization

Trust Score 68/100

from scp148

Validate protein sequences, compute biochemical properties, predict 3D structure (ESMFold), and analyze binding pockets — end-to-end protein characterization.

triggers:validate sequencepredict structureanalyze proteincompute protein parameterspredict binding pockets

GitHub SKILL.md

What it does

Provides a workflow for full protein characterization: sequence validation, feature analysis, computation of physicochemical parameters, 3D structure prediction (ESMFold), and binding pocket prediction (fpocket). The skill orchestrates calls to multiple SCP servers and tools to produce a comprehensive protein analysis pipeline.

When to use it

Use this skill when you need a reproducible pipeline for analyzing an amino-acid sequence — from basic validation to structure prediction and pocket detection. Suitable for computational biologists, drug-discovery researchers, and bioinformatics practitioners who want an automated end-to-end analysis.

What's included

Scripts: none included in the fetched snapshot (has_scripts=false)
References: none listed (has_references=false)
Instructions: The SKILL.md documents the workflow steps, required MCP server endpoints, an example input sequence, and a Python usage example showing how to connect to SCP servers, call the listed tools, and parse results. It notes API key placement and error handling considerations.

Compatible agents

Inferred compatibility: agents capable of calling external MCP servers and making authenticated HTTP/SSE/streamable HTTP connections. Best used by agents or runners with network access and ability to manage API keys for SCP Hub.

Audit Summary

Bioinformatics skill for full protein characterization (validate sequence, compute properties, predict 3D structure via ESMFold, analyze binding pockets via fpocket). Orchestrates 5 tools across 4 MCP servers hosted at scp.intern-ai.org.cn. No bundled scripts — SKILL.md only. The Python usage example has bare except clauses and calls tools with empty arguments={}, missing required parameters like sequence input. Requires an SCP Hub API key to use. Niche but legitimate scientific tool.

Watch Out

Requires SCP Hub API key from scphub.intern-ai.org.cn
Usage example Python code has empty arguments={} — won't work as-is without passing sequence
Bare except: clauses swallow all errors silently
All 5 tool calls depend on external MCP servers being available

Notes

Legitimate bioinformatics skill. Code quality dragged down by bare except clauses and missing argument parameters in usage example. Architecture is simple (single SKILL.md, no scripts/references dirs). Usefulness is niche — requires specific platform access and bioinformatics context.

Information

Repository: scp
Stars: 148

Trust Score

Overall68

Security87

Code Quality50

Architecture48

Usefulness40

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