Screen transactions for money laundering patterns and risk indicators.
supremeb/Oniva-ai
SkillsMP has collected 32 skills from supremeb/Oniva-ai. Open a skill to review its source and details.
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- skills collected
- 32
- GitHub stars
- 5
- GitHub forks
- 2
Skills in this repository
Showing 32 of 32 collected skills.
Analyze Python code for quality, complexity, and structural metrics.
Calculate risk metrics (VaR, Sharpe, volatility) given a set of returns.
Assess whether this query requires deep work. Call this FIRST before any other tools. Deep work is needed for multi-step research, comparative analysis, or deliverable generation. Default to needs_deep_work=False.
Fetch and read content from a webpage URL. Extracts text or returns raw HTML.
Navigate to a URL in the sandbox browser and extract page content using Browser Use.
Take a screenshot of a URL in the sandbox browser and save to session workspace.
Delete a file from the agent's session workspace.
Execute Python code in an E2B Firecracker sandbox with human review.
Extract financial entities (Dates, Amounts, Organizations) from text.
Extract structured data (tables, lists) from HTML content using CSS selectors.
Fetch economic indicators like GDP, CPI, Unemployment.
Source text: Undetermined
Fetch real-time market data (price, volume, change) for a ticker.
Generate charts and visualizations from data using matplotlib.
Get financial statements (income, balance, cash flow) for a company.
Source text: Undetermined
Analyze trading volume trends for a ticker.
Source text: Undetermined
Get entities extracted from a specific workflow.
Verify identity against KYC datasets and watchlists.
List files and directories in the agent's session workspace with metadata.
Parse structured content from documents (CSV, JSON, text).
Source text: Undetermined
Extract text and metadata from a PDF file.
Read text content from the agent's session workspace.
Parse and retrieve SEC/FINRA filings for an entity.
Calculate composite risk score for an entity using multiple factors.
Check entity against OFAC/EU sanctions lists for compliance screening. Use when verifying that an entity is not on any prohibited parties list.
Search for entities (companies, people, regulations) across workflows.
Search the knowledge base using RAG (pgvector) semantic similarity.
Search for similar past decisions using hybrid search.
Source text: Undetermined
Store a decision to episodic memory for future recall.
Summarize a text document using LLM-based summarization.
Search the web for information using Tavily or SerpAPI. Use when you need current information from the internet or need to research a topic.
Write text content to the agent's session workspace for persistent storage across tool calls.