Security Hardening for Claude Agent Skills
Harden Claude Agent Skills: sandboxing, least privilege, secrets at the tool boundary, and layered prompt-injection defense — with concrete config.
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Harden Claude Agent Skills: sandboxing, least privilege, secrets at the tool boundary, and layered prompt-injection defense — with concrete config.
Make Claude Agent Skills cheap and fast with prompt caching, batched tool calls, context trimming, and per-step model routing — measured, not guessed.
Diagnose and fix the three Agent Skill failure modes on Claude — loops, wrong tool calls, and hallucinated arguments — with concrete traces and edits.
What to put in an Agent Skill's context and what to leave out: budgeting, progressive disclosure, examples over adjectives — measured and refined with skill-creator.
Connect tools and MCP servers to Claude Agent Skills: auth, JSON schemas, error handling, and idempotency — and test each path with skill-creator.
Code-level patterns for Agent Skills: description-as-router, progressive disclosure, deterministic scripts, and gradeable instructions tested with skill-creator.
A concrete walkthrough: scaffold, build an eval set, run it with samples, read trigger vs quality scores, and refine a Claude Agent Skill with skill-creator.
How skill-creator works inside: discovery, the eval harness, trigger vs execution scoring, variance analysis, and the refine loop for Claude Agent Skills.
Turing benchmarks 6 AI agent frameworks across 2000 test runs measuring latency, token efficiency, and task completion rates for production use.
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