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risk-assessment

Identify and mitigate technical and delivery risk before it becomes an incident

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Quellinformationen

Repository
vignesh2027/AI-AGENT-SKILLS
Letzte Quellaktivität
13. Mai 2026 um 19:03
Erkannte Sprache von SKILL.md
Englisch
Sterne
1
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0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
risk-assessment
description
Identify and mitigate technical and delivery risk before it becomes an incident
difficulty
senior
domains
["general"]
## 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
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