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LobsterBio - Use

v1.0.1

Analyze biological data using Lobster AI — single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization. USE THIS SKILL WHEN: - Analyzing single-cell or bulk RNA-seq data - Searching PubMed/GEO for papers or datasets - Running quality control on biological data - Clustering cells, finding markers, differential expression - Creating publication-quality visualizations - Working with H5AD, CSV, 10X, GEO/SRA accessions TRIGGER PHRASES: "analyze cells", "search PubMed", "download GEO", "run QC", "cluster", "find markers", "differential expression", "UMAP", "volcano plot", "single-cell", "RNA-seq", "bioinformatics" ASSUMES: Lobster is installed and configured. For setup issues, tell user to run `lobster config-test` and fix any errors before proceeding.

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Purpose & Capability
Name/description align with the runtime instructions and reference files: all content is about using Lobster AI for single-cell/bulk RNA‑seq, literature/dataset discovery, QC, DE, and visualization. The required capabilities described are consistent with the workflows and agent list in the references.
Instruction Scope
SKILL.md is instruction-only and stays within Lobster usage: commands, workspace paths, and dataset downloads (GEO/SRA) are all relevant. It assumes Lobster is installed/configured and instructs user to run 'lobster config-test' for setup issues. The instructions do not ask the agent to read unrelated system files or undeclared env vars, but they do direct users to download remote datasets and to run an external installer (see install_mechanism).
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Install Mechanism
The guide recommends piping a shell download from https://install.lobsterbio.com (curl | bash) and a PowerShell 'irm ... | iex' for Windows — both are high-risk patterns because they execute code directly from a remote, non-standard domain. There are fallback install options (pip, uv tool), but provenance for the install.lobsterbio.com endpoint is unknown and no homepage/repository is provided in the skill metadata. This is the primary risk.
Credentials
The skill declares no required env vars or primary credential, which matches that it is instruction-only. However, installation guidance references packages with an 'anthropic' extras marker and says 'lobster init configures API keys' — implying third-party model/API keys (Anthropic or others) may be created/required. The skill does not declare or document these credential needs or where keys are stored, which is a proportionality/provenance gap to be aware of.
Persistence & Privilege
The skill is instruction-only, does not request 'always: true', and does not modify other skills or system-wide agent settings. It does not ask to persist additional privileges itself.
What to consider before installing
This skill appears to be what it says (a usage guide for Lobster AI) but has two practical concerns you should address before proceeding: 1) Installer provenance: the SKILL.md recommends running curl | bash from https://install.lobsterbio.com and a Windows 'irm ... | iex' — running scripts directly from an unfamiliar domain can execute arbitrary code on your machine. Prefer installing from a known package source (pip or your OS package manager) or inspect the installer contents on a trusted network before running. If possible, ask for the project's public repository or official release page to verify the installer. 2) Hidden credential needs: the docs reference an 'anthropic' extras tag and say 'lobster init' configures API keys. The skill metadata does not declare required API keys or where credentials will be stored. Before use, verify what external services (model vendors, PubMed/GEO access, cloud storage) Lobster will contact and what keys it needs; run 'lobster config-test' and read any config files to see where secrets are kept. Additional steps: request the skill's source/homepage from the publisher (none provided), prefer installing via pip or a known package repository, run installations in a sandbox or VM first, and review the installer script/ repository for network endpoints or telemetry before granting access to sensitive data. If you need higher assurance, ask the skill author for a link to an official repo or signed releases.

Like a lobster shell, security has layers — review code before you run it.

latestvk9779gsx8b5z987wm39xe2azxh813y38
1.2kdownloads
0stars
2versions
Updated 4h ago
v1.0.1
MIT-0

Lobster AI Usage Guide

Lobster AI is a multi-agent bioinformatics platform. You interact via natural language or slash commands — Lobster routes to specialist agents automatically.

Installation

If Lobster is not installed, guide the user to the right command for their platform:

macOS / Linux

curl -fsSL https://install.lobsterbio.com | bash

Windows (PowerShell)

irm https://install.lobsterbio.com/windows | iex

Manual install (any platform)

uv tool install 'lobster-ai[full,anthropic]' && lobster init
# or: pip install 'lobster-ai[full]' && lobster init

After install, lobster init configures API keys and selects agent packages.

Upgrading

  • uv tool: uv tool upgrade lobster-ai
  • pip: pip install --upgrade lobster-ai

Adding Agents (uv tool installs)

Users with uv tool installs add agents via: uv tool install lobster-ai --with lobster-transcriptomics --with lobster-proteomics Running lobster init will guide this process and generate the command.

Quick Reference

TaskReference
CLI commandsreferences/cli-commands.md
Single-cell analysisreferences/single-cell-workflow.md
Bulk RNA-seq analysisreferences/bulk-rnaseq-workflow.md
Literature & datasetsreferences/research-workflow.md
Visualizationreferences/visualization.md
Available agentsreferences/agents.md

Interaction Modes

Interactive Chat

lobster chat                          # Start interactive session
lobster chat --workspace ./myproject  # Custom workspace
lobster chat --reasoning              # Enable detailed reasoning

Single Query

lobster query "Your request"
lobster query --session-id latest "Follow-up request"

Core Patterns

Natural Language (Primary)

Just describe what you want:

"Download GSE109564 and run quality control"
"Cluster the cells and find marker genes"
"Compare hepatocytes vs stellate cells"

Slash Commands (System Operations)

/data                    # Show loaded data info
/files                   # List workspace files
/workspace list          # List available datasets
/workspace load 1        # Load dataset by index
/plots                   # Show generated visualizations
/save                    # Save current session
/status                  # Show system status
/help                    # All commands

Session Continuity

# Start named session
lobster query --session-id "my_analysis" "Load GSE109564"

# Continue with context
lobster query --session-id latest "Now cluster the cells"
lobster query --session-id latest "Find markers for cluster 3"

Agent System

Lobster routes to specialist agents automatically:

AgentHandles
SupervisorRoutes queries, coordinates agents
Research AgentPubMed search, GEO discovery, paper extraction
Data ExpertFile loading, format conversion, downloads
Transcriptomics ExpertscRNA-seq: QC, clustering, markers
DE Analysis ExpertDifferential expression, statistical testing
Annotation ExpertCell type annotation, gene set enrichment
Visualization ExpertUMAP, heatmaps, volcano plots
Proteomics ExpertMass spec analysis [alpha]
Genomics ExpertVCF, GWAS, variant analysis [alpha]
ML ExpertEmbeddings, classification [alpha]

Workspace & Outputs

Default workspace: .lobster_workspace/

Output files:

ExtensionContent
.h5adProcessed AnnData objects
.htmlInteractive visualizations
.pngPublication-ready plots
.csvExported tables
.jsonMetadata, provenance

Managing outputs:

/files              # List all outputs
/plots              # View visualizations
/open results.html  # Open in browser
/read summary.csv   # Preview file contents

Typical Workflow

# 1. Start session
lobster chat --workspace ./my_analysis

# 2. Load or download data
"Download GSE109564 from GEO"
# or
/workspace load my_data.h5ad

# 3. Quality control
"Run quality control and show me the metrics"

# 4. Analysis
"Filter low-quality cells, normalize, and cluster"

# 5. Interpretation
"Identify cell types and find marker genes"

# 6. Visualization
"Create UMAP colored by cell type"
/plots

# 7. Export
"Export marker genes to CSV"
/save

Troubleshooting Quick Reference

IssueCheck
Lobster not respondinglobster config-test
No data loaded/data to verify, /workspace list to see available
Analysis failsTry with --reasoning flag
Missing outputsCheck /files and workspace directory

Documentation

Online docs: docs.omics-os.com

Key sections:

  • Guides → CLI Commands
  • Guides → Data Analysis Workflows
  • Tutorials → Single-Cell RNA-seq
  • Agents → Package documentation

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