The body is lean — bullet signals, compact code blocks, and a tight intro that distinguishes poisoning from supply-chain compromise without explaining concepts Claude already knows; every section earns its tokens.

Provides concrete, copy-paste-ready guidance: executable grep -rE commands in the audit workflow and a runnable curl-loop PoC payload with real flags and JSON body, not pseudocode.

A clear recognition → vectors → audit → PoC → validate sequence, and section 6 defines a validate_finding contract with success_patterns plus negative_command/negative_patterns as explicit validation checkpoints.

No bundle files exist and none are needed; the skill is a single cohesive file organized into eight clearly numbered sections with no nested/deep references, satisfying the well-organized-sections standard.

Names a concrete action ('Hunt LLM training-data and model poisoning') and enumerates multiple specific mechanisms — 'fine-tuning, RLHF, or continuous-learning loops' — matching the 'lists multiple specific concrete actions' anchor.

It clearly answers 'what does this do' but lacks any explicit 'Use when…' clause or equivalent trigger guidance, so per the judging guidelines completeness is capped at 2 rather than reaching the explicit-when level of 3.

Covers natural domain terms a security tester would actually say — 'training-data', 'model poisoning', 'fine-tuning', 'RLHF', 'continuous-learning', 'adversarial inputs' — giving good coverage rather than jargon-only phrasing.

The OWASP LLM04:2025 framing carves a clear niche with distinct triggers, making it unlikely to fire for unrelated security skills; not the level below because it is far more specific than 'works with document files'.