Conciseness

The body is largely lean and assumes Claude's competence without explaining basic debugging concepts, but STOP_FOR_HUMAN / NEXT_ACTION guidance is repeated across sections 5, 6, and 'Stop / Escalate', which is minor redundancy that could be trimmed.

Actionability

Concrete, specific guidance throughout: enumerated input requirements, exact inspection targets (package.json, pyproject.toml, go.mod), a fixed category taxonomy, and a copy-paste output template, with only minor gaps in exact inspection commands.

Workflow Clarity

A clear numbered 6-step method with a VERIFICATION output field acting as a checkpoint, but the validate->fix->retry feedback loop is implicit rather than an explicit numbered checkpoint, keeping it just below 5.

Progressive Disclosure

Self-contained with well-organized sections (When to Use, Inputs, Outputs, Method, Critical Rule) and no unnecessary external references; held below 5 by cross-section redundancy and the somewhat peripheral Common Rationalizations table.

Specificity

Names the domain ('implementation failures') and one concrete approach ('Investigate ... using root-cause-first debugging'), but does not enumerate several distinct actions, matching the 1-2 concrete actions anchor rather than the comprehensive 5.

Completeness

It explicitly answers both what ('Investigate implementation failures using root-cause-first debugging') and when (concrete 'Use when ...' trigger phrases), matching the explicit-both anchor.

Trigger Term Quality

'Use when an implementer is blocked, verification fails, or repeated remediation does not converge' provides three natural trigger phrases with good coverage, though it lacks common synonyms like 'stuck' or 'looping' that would reach 5.

Distinctiveness Conflict Risk

The root-cause-first investigation niche with explicit 'not a patch generator' framing and distinct failure-mode triggers gives it a clear niche with minimal conflict risk.