/vkkm:counterparty-profile

Research public web sources and score counterparty risk with confirmed facts.

2|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/Vaibhavkkm/vkkm-aegis-plugin --skill vkkm-counterparty-profile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: /vkkm:counterparty-profile
Source: https://github.com/Vaibhavkkm/vkkm-aegis-plugin/tree/main/skills/counterparty-profile
Command: npx skills add https://github.com/Vaibhavkkm/vkkm-aegis-plugin --skill vkkm-counterparty-profile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you assess the risk associated with a company or individual before entering into a business relationship, preventing potential financial or reputational damage.

Core Features & Use Cases

  • Automated Web Research: Gathers data from public sources like company registries, news, and legal records.
  • Evidence-Based Risk Scoring: Assigns a trust score based solely on confirmed facts, highlighting data gaps as potential risks.
  • Use Case: Before signing a €50,000 supply contract with a new vendor, use this Skill to quickly research their history, legal standing, and online reputation to inform your decision and identify necessary protective clauses.

Quick Start

Use the counterparty profile skill to assess the risk of 'Acme Corp' in 'USA' for a 'partnership' deal valued at '$1M'.

Frequently Asked Questions about /vkkm:counterparty-profile

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess counterparty risk before signing a new supply contract?

Counterparty risk assessment involves gathering confirmed facts from public web sources like company registries and news to generate an evidence-based trust score, helping you mitigate financial exposure before signing supply contracts.

What is evidence-based vendor screening and how does it work?

Evidence-based vendor screening assigns a trust score using only confirmed facts from public web searches, explicitly identifying data gaps as unknown risks rather than guessing missing details during due diligence.

Can I use automated web research for pre-deal due diligence on partnerships and investments?

Yes, automated web research gathers data from public sources to risk-score counterparties for partnerships, investments, and employment agreements, providing a trust score and recommendation to support evidence-based decision-making.

What is the best way to identify data gaps during counterparty risk assessment?

The best way to identify data gaps is by strictly reporting only confirmed findings with sources while explicitly stating missing information as unknown risks, ensuring your due diligence highlights potential vulnerabilities.

Does this risk scoring approach work for evaluating individuals for employment agreements?

Yes, this approach applies to employment agreements by researching an individual's history, legal standing, and online reputation to provide a trust score and recommendation before you engage them.

What are the limitations of using public web searches for vendor screening?

A key limitation is that vendor screening relies strictly on confirmed public web sources, meaning any unavailable data is explicitly reported as a data gap and unknown risk rather than making assumptions.