Conciseness

The body is efficient: tight imperative rules ("Validate at entry points, not deep in business logic"), focused code blocks, and compact BAD/GOOD anti-pattern pairs with one-line WHY explanations that carry real information. Not a 5: the schema example teaches basic zod usage Claude already knows, and the Procedures section could be trimmed slightly. No padding sections.

Actionability

Three of four procedures give complete, copy-paste-ready TypeScript (zod schema definition, safeParse entry-point validator, try/catch with a 400 response), and the anti-patterns show concrete BAD/GOOD code. Not a 5: Procedure 3's `bun run validate --input ./data/input.json` references a script that does not exist anywhere in the bundle, making that step non-executable as written.

Workflow Clarity

The four numbered procedures form a clear sequence (define schema → validate at entry → run before processing → handle errors explicitly), and step 4's catch-and-return-400 provides an explicit error checkpoint. Not a 5: there is no fix-and-retry feedback loop, and step 2 throws a raw Error while step 4 assumes a structured error response — a minor inconsistency between the checkpoint as defined and as consumed. The destructive/batch cap does not apply since this is not a destructive or batch operation.

Progressive Disclosure

Structure is good — the body stays lean and `references/deep-reference.md` is a real, clearly signaled, one-level-deep file (linked both in the intro and the References section). However, the actual bundle file is a 4-line stub containing no schema details, while the body promises "schema details" and "Schema design and progressive disclosure patterns" — the split is nominally correct but substantively broken, matching the "some structure but could be better organized" anchor rather than a 4.

Specificity

Lists several concrete actions — "Validates, sanitizes, normalizes user inputs", "Enforces schema-driven validation at entry points", "explicit rejection policies for malformed payloads" — plus named threats (injection attacks, data corruption, runtime errors). Not a 5: coverage has minor gaps, e.g., no mention of the input sources it handles (forms, API payloads, config files) beyond generic "user inputs".

Completeness

The "what" is clear and concrete (validate, sanitize, normalize inputs; prevent injection and corruption), but there is no "Use when..." clause or equivalent trigger guidance — "before processing" and "at entry points" describe where validation happens in code, not when to invoke the skill. Per the judging guideline, a missing explicit trigger clause caps completeness at 3.

Trigger Term Quality

Contains some natural keywords users would say ("validates... user inputs", "sanitize", "injection attacks", "schema") but leans technical ("schema-driven validation", "explicit rejection policies", "malformed payloads") and misses common variations like "form data", "API payloads", or "clean/escape input". Falls between the "some relevant keywords" (3) and "good coverage" (4) anchors, closer to 3 because the natural phrases a user would actually say are sparse.

Distinctiveness Conflict Risk

Occupies a clear niche (entry-point input validation with schema enforcement) that is mostly distinct from sibling skills, though it could overlap with general security or API-handling skills. "Enforces schema-driven validation at entry points with explicit rejection policies" is specific enough to avoid most wrong-skill triggers, matching the "mostly distinct; minor overlap risk" anchor.