Conciseness

The body is code- and example-dominated with no explanations of concepts Claude already knows; every token-earning example (Quick Start, per-check calls, result JSON, config JSON, auto-fix) carries information. Not 5 because of minor trimmable redundancy: the "## Purpose" section restates the frontmatter description, and the per-check tool comments ("# ESLint for JS/TS", "# Ruff/Flake8 for Python") duplicate the Language Support table.

Actionability

The code examples are executable and verified against the real bundle: CodeValidator(project_dir), await validator.validate(), per-check methods, and auto_fix(types=[...]) all match scripts/code_validator.py, and the result/config JSON examples are concrete. Not 5 because of minor gaps: Quick Start leaves project_dir undefined, and the Configuration section never states where the config file lives (the script hardcodes .claude/validator-config.json).

Workflow Clarity

The implied sequence (validate -> inspect result JSON -> auto-fix) is present but checkpoints are implicit: there is no stated loop of re-validating after auto_fix or checking result.valid / summary.blocking before proceeding. Per the rubric's scoring notes, auto-fix rewrites files across the project (a batch/semi-destructive operation) and the absence of a fix -> re-validate feedback loop caps this dimension at 3 even though the skill is single-purpose.

Progressive Disclosure

The body is a well-sectioned overview with a clear one-level-deep reference ("See scripts/code_validator.py for full implementation") pointing to a real bundle file, and no nested references. Implementation detail is appropriately delegated to the script rather than inlined, and navigation via section headers is easy.

Specificity

"Use when running linting, checking types, validating code style, or performing static analysis" lists several concrete actions, matching the anchor for several specific actions with minor gaps. It is not 5 because "Validate code quality and standards" is generic phrasing and the description omits capabilities the skill actually has (formatting checks, security scanning, auto-fix); it is above 3 because four distinct concrete actions are named rather than just 1-2.

Completeness

Both parts are present: "Validate code quality and standards" answers what, and an explicit "Use when..." clause with concrete trigger phrases answers when. Not 5 because the "what" half is abstract compared to the anchor-5 example, which enumerates concrete operations; the "when" half alone reaches anchor-5 quality.

Trigger Term Quality

Natural developer phrasings like "running linting", "checking types", "validating code style", and "static analysis" give good keyword coverage. Not 5 because common variations and synonyms are missing (e.g., "formatting", "security scan", "run the linter", tool names like eslint/ruff/mypy); not 3 because multiple natural trigger phrases users would actually say are present.

Distinctiveness Conflict Risk

The niche (static analysis / lint / type-check validation) is mostly distinct with trigger terms unlikely to grab unrelated skills. Not 5 because "code quality" is broad enough to overlap with generic code-review or testing skills; not 3 because the enumerated triggers (linting, type checking, static analysis) anchor it firmly to this skill's function.