Conciseness

Mostly efficient with tight tables and concrete examples, but the 'Why' section and the CI-pipeline analogy add mild over-explanation that could be trimmed.

Actionability

Provides concrete install commands, a settings.json snippet, a configuration table, and exit-code examples, but references quality-gate.py which is not present in the bundle, leaving a gap in copy-paste readiness.

Workflow Clarity

The 'What It Checks' decision table plus the Examples section make the gate flow unambiguous; this is a single-purpose gate rather than a destructive/batch operation, so the 3-cap does not apply.

Progressive Disclosure

A single well-organized SKILL.md with clear sections and no nested references; however quality-gate.py is referenced as the implementation but is absent from the scripts/ bundle.

Specificity

Lists multiple concrete actions — 'blocks Claude from finishing until quality checks pass', 'Detects rationalization patterns… stale learning logs (filesystem mtime), and low disk space' — covering all three checks comprehensively.

Completeness

Explicitly answers both what (a Stop hook detecting rationalization, stale learning logs, and low disk space) and when (a concrete 'Use when…' trigger phrase).

Trigger Term Quality

The 'Use when Claude should be mechanically blocked from declaring work finished before quality checks and learning capture actually pass' clause is a natural trigger, but it is mixed with technical jargon ('filesystem mtime', 'regex') and lacks common synonyms.

Distinctiveness Conflict Risk

Occupies a clear niche (mechanical Stop-hook gate) and explicitly contrasts itself from self-audit and verification-loop, minimizing conflict risk.