ai-safety
claudeAI safety (distinct from security): harm modeling, safety evaluations, responsible red-teaming, bias/fairness, guardrail review, and responsible-AI governance.
6 skills · 1 agent
11
claude
ai-safety-engineer
AI safety engineer role bundle: build and operationalize safeguards (evals-in-CI, guardrails, monitoring, safety cases, governance). Auto-installs the ai-safety stack.
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Plugin ai-safety-engineer from marketplace awesome-claude-security in jassics/awesome-claude-security. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (2)
evals-ci-gateOperationalize a safety/prompt-injection eval suite into an enforced CI gate — not just a one-off report — using the ready-to-copy promptfoo/garak template, a regression baseline, and a burn-in rollout. Use when a safety eval already exists (or is being designed) and needs to actually block regressi
safety-caseAssemble a structured assurance / safety case for deploying an AI system — an explicit argument that it is acceptably safe for its context, backed by evidence (harm model, evals, guardrails, fairness, governance). Use to support a go/no-go deployment decision or an audit/sign-off.
Slash commands (1)
/ai-safety-engineer:safety-reviewRun an AI safety review for a feature/model — harms, evaluations, guardrails, and a documented safety case.
Subagents (1)
ai-safety-engineerBuilds and operationalizes AI safety — turning safety assessments into shipped safeguards: safety evals in CI/CD, guardrail integration, monitoring and drift detection, AI-incident response, safety cases, and responsible-AI governance. Use to design or stand up the safety machinery around an AI syst
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