Conciseness

The body is dense and template/table-driven with no explanation of concepts Claude already knows; it earns an 'efficient, minor trimming possible' score because the 回復ヒューリスティクス section (lines 119-136) partially restates Phase 2/3 guidance and the 良いパターン list repeats the four-phase loop. Not a 5 due to that redundancy; not a 3 because there is no padded or over-explained content.

Actionability

Concrete, actionable guidance throughout: three copy-paste markdown templates (障害キャプチャ, 回復アクション, 自己デバッグレポート), a failure-pattern table with specific errors (ECONNREFUSED, 429, 書き込み後にファイルが見つからない) and concrete checks, and an explicit anti-hallucination rule about not claiming to reset agent state. Not a 5 because some guidance remains directional rather than executable, e.g. 「推測的な推論から直接観察に切り替える」 and the checks column gives what to verify but not how.

Workflow Clarity

A clearly sequenced four-phase loop (キャプチャ → 診断 → 回復 → レポート) with explicit validation checkpoints (「診断を検証する最小の可逆的アクションは何か?」), a post-recovery evidence requirement (「修正が機能したことを証明するエビデンスは何か」), a feedback-loop rule (「チェックがサポートする場合にのみ計画を変更する」), and outcome states (成功 | 部分的 | ブロック中). This matches the top anchor's 'explicit validation steps, feedback loops, and checklists'; no destructive or batch operations apply the cap.

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are all absent) and the single SKILL.md is well-sectioned with clear headers, a scope-boundary section, and nothing that clearly belongs in a separate file. Not a 5: at ~150 lines with three inline templates it exceeds the under-50-line simple-skill exception and content is not split across files; not a 3: organization is good and no inline content is clearly misplaced.

Specificity

The description names a clear domain ("AI エージェント障害" / structured self-debugging) and lists four actions ("キャプチャ、診断、封じ込め回復、内省レポート"), matching the 'several specific actions with minor gaps' anchor. It is not a 5 because the actions are process-phase labels rather than fully concrete operations like the 'extract text, fill forms, merge documents' example.

Completeness

The 'what' is clearly stated (structured self-debugging workflow for AI agent failures with four named phases), but there is no 'Use when...' clause or equivalent explicit trigger guidance in the description, which caps completeness at 3 per the judging guidelines. The failure context is only weakly implied by 'AI エージェント障害'.

Trigger Term Quality

Terms like "AI エージェント", "障害", and "自己デバッグ" are relevant and natural, but common variations a user would actually say — stuck in a loop, repeated retries, agent going in circles, token waste — are absent. This lands at 'some relevant keywords but missing common variations or synonyms' rather than good coverage.

Distinctiveness Conflict Risk

"エージェント障害のための構造化された自己デバッグワークフロー" carves out a mostly distinct niche (agent self-debugging with introspection reports) with only minor overlap risk against general debugging or verification skills. It is not a 5 because without explicit trigger phrases it could still be selected for ordinary code debugging that is not an agent-failure loop.