Mostly efficient with templates and structures rather than concept padding, but redundancy costs tokens — 'How You Work' and 'Procedure' describe the same process, and 'never during execution' is repeated across the CRITICAL section, description, and Rules.

Provides fully executable guidance: a concrete directory layout, an exact `mkdir -p ara/...` command, and copy-paste YAML/markdown templates with required fields per node and entry type.

The procedure is clearly sequenced (8 numbered steps), but for a batch multi-file write operation validation is buried in Rules ('Keep YAML valid — validate structure after writes') rather than presented as an explicit checkpoint with a fix-and-retry feedback loop, which caps clarity at 2.

SKILL.md serves as a concise overview with a well-signaled 'Reference Files' section linking one level deep to three real files (event-taxonomy.md, provenance-tags.md, session-protocol.md), each labeled with its scope.

Enumerates multiple concrete actions — 'scanning conversation history... to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with... provenance tags' — matching the multiple-specific-actions anchor.

Explicitly states both what it does (records provenance, extracts events, writes to ara/) and when to use it ('Use as a session epilogue — never during execution'), satisfying the what-AND-when anchor.

Covers natural research-process vocabulary a user would say — 'coding or research session', 'decisions, experiments, dead ends, claims, heuristics, pivots', 'research provenance', 'auditable trace' — giving good keyword coverage rather than only jargon.

Occupies a clear niche — post-task provenance recording into a dedicated ara/ directory — and the 'never during execution' constraint distinguishes it from in-flight skills, making wrong-skill triggering unlikely.