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Risk assessment

Skill vignesh2027/AI-AGENT-SKILLS/skills/risk-assessment

Identify and mitigate technical and delivery risk before it becomes an incidentFrom its SKILL.md

Install
npx -y skills add vignesh2027/AI-AGENT-SKILLS --skill risk-assessment

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SKILL.md

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Overview

Risk not identified is risk not managed. This skill makes technical and delivery risk explicit so it can be mitigated, accepted, or escalated — before it surprises you.

When to Use

  • Before estimating a project
  • Before starting a large migration or refactor
  • Before a major deployment
  • When a project has been "almost done" for two weeks

Process

Step 1: List all risks

Brainstorm: what could go wrong? Include: technical unknowns, external dependencies, team knowledge gaps, deadline pressure, infrastructure, security, data integrity.

Step 2: Score each risk

For each risk: Likelihood (1–3) × Impact (1–3) = Risk Score (1–9). Prioritize scores ≥ 6.

Step 3: Classify risks

  • Known known: You know about it and understand it. Mitigate.
  • Known unknown: You know there's something you don't know. Research it.
  • Unknown unknown: You don't know what you don't know. Add buffer and run pre-mortems.

Step 4: Design mitigations

For each high-score risk: what is the mitigation? What is the fallback? Who owns it?

Step 5: Pre-mortem

Imagine it's 3 months from now and the project failed. What went wrong? Work backwards. This surfaces unknown unknowns.

Step 6: Define go/no-go criteria

For the deployment or launch: what conditions must be true to proceed? What conditions force a delay?

Verification Requirements

  • All risks identified and scored
  • High-score risks have documented mitigations
  • Pre-mortem conducted
  • Go/no-go criteria defined
  • Risk log tracked throughout the project

What ships with it

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