aget-assess-risk
Assess risks with likelihood, impact, and mitigation options
npx skills add majiayu000/claude-skill-registry --skill aget-assess-risk-aget-framework-template-advisor-age --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# aget-assess-risk Assess risks associated with decisions, actions, or situations. Produces structured risk analysis with likelihood, impact, and mitigation recommendations. ## Instructions When this skill is invoked: 1. **Gather Context** - Understand the decision, action, or situation being assessed - Identify stakeholders and scope boundaries - Note any constraints or assumptions 2. **Identify Risks** - Enumerate potential risks using standard categories: - Operational (process, execution) - Strategic (direction, positioning) - Financial (cost, revenue) - Compliance (regulatory, policy) - Technical (implementation, integration) 3. **Assess Each Risk** - **Likelihood**: Low, Medium, High, Critical - **Impact**: Low, Medium, High, Critical - Calculate risk score (Likelihood × Impact) 4. **Propose Mitigations** - For High/Critical risks, propose mitigation strategies - Categorize as: Avoid, Mitigate, Transfer, Accept ## Output Format ```markdown ## Risk Assessment: [Topic] ### Identified Risks | Risk | Category | Likelihood | Impact | Score | Mitigation | |------|----------|------------|--------|-------|------------| | [Description] | [Cat] | [L/M/H/C] | [L/M/H/C] | [1-16] | [Strat
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What does the aget-assess-risk skill do?
Assess risks with likelihood, impact, and mitigation options
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aget-assess-risk-aget-framework-template-advisor-age --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.