Governance and Safety for Claude Skills and MCP Servers
Guardrails leadership needs before scaling Claude Skills and MCP servers — least privilege, human-in-the-loop, audit, and prompt-injection defense.
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From the blog
Guardrails leadership needs before scaling Claude Skills and MCP servers — least privilege, human-in-the-loop, audit, and prompt-injection defense.
Habits, norms, and change management that turn a few Claude power users into an org-wide capability — the human side of Skills and MCP adoption.
Where Claude Skills and MCP server savings actually come from — token math, break-even thinking, and the hidden costs engineering leaders must model.
A staged playbook to move an existing workflow onto Claude agents with Skills and MCP: mapping, shadow mode, canary rollout, and instant rollback.
Build an eval loop for Claude agents on Skills and MCP: outcome and process metrics, real datasets, calibrated LLM judges, and release gates.
Harden Claude agents on Skills and MCP: sandboxing, least privilege, secret handling, and layered prompt-injection defense that contains the blast radius.
Keep Claude agents fast and cheap on Skills and MCP with prompt caching, batching, context discipline, model routing, and cost-per-run metrics.
Diagnose and fix the common failure modes of Claude agents on Skills and MCP: tool-call loops, wrong tool selection, and hallucinated arguments.
What to put in Claude's context and what to leave out — prompt and context engineering for agents with Skills and MCP tools, with concrete heuristics.
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