Lean body with no padding — it assumes Claude knows what LLMs/RAG are and devotes every line to detection signals, anti-patterns, or audit instructions; every token earns its place.

Gives concrete, copy-applicable detection signals per risk (e.g., 'User input string-concatenated into prompt', 'No max_tokens on LLM call') and concrete fixes ('Pass user input as separate user turn'); as an instruction-only audit skill the absence of code is not penalized because guidance is actionable.

Sequences the audit explicitly ('Check LLM01 first', 'Check LLM06 next', 'Mark each item') with a verification scheme (✅⚠️🔴) and an explicit checkpoint rule ('P0 finding caps Security score at 40/100 — not skip any item').

SKILL.md is a concise overview that points one level deep to references/owasp-llm.md for full detection signals, signaled clearly twice; the referenced bundle file exists.

Names a concrete action ('audit checklist') applied to specific targets — 'AI applications, agent tools, RAG pipelines, and prompt construction' — listing multiple concrete audit surfaces rather than vague language.

Explicitly answers both what ('OWASP LLM Top 10 (2025) audit checklist for...') and when ('Use when performing any security review touching...') with an explicit Use-when clause.

Includes natural terms a reviewer would say — 'security review', 'LLM client code', 'prompt templates', 'agent tools', 'vector stores' — with broad coverage of common variations (prompt injection, RAG, langchain, openai/anthropic).

Occupies a clear niche (OWASP LLM Top 10 security audit) with distinct, specific triggers unlikely to fire for unrelated skills.