Conciseness

The body is lean (~40 lines) and prescriptive — 'Choose semantic records for facts/preferences, episodic records for events...' instructs rather than explains — with every section earning its place. It falls short of anchor 5 mainly because the 'Limitations' section is boilerplate ('Do not treat the output as a substitute for environment-specific validation, testing, or expert review') that could be trimmed, placing it at anchor 4 ('efficient; minor instances... that could be trimmed').

Actionability

The Procedure gives concrete, executable instruction: 'Specify record IDs, source evidence, timestamps, namespace, retrieval limits and conflict/version policy' and 'Test cross-identity rejection, stale/conflicting records, bounded retrieval and failed writes with isolated fixtures', plus a worked Request/Output example. This is mostly actionable with minor gaps — no sample record schema or test fixture inline — matching anchor 4 rather than anchor 5's 'specific examples cover the common cases'.

Workflow Clarity

The five-step Procedure is clearly sequenced and includes an explicit validation checkpoint ('Test cross-identity rejection... Benchmark retrieval against held-out questions before expanding storage'), matching anchor 4's 'clear sequence with most checkpoints present'. It does not reach anchor 5 because there is no explicit feedback loop for error recovery — what to do when the cross-identity or retrieval-quality tests fail is left implicit.

Progressive Disclosure

The body is a lean overview with one clearly signaled, one-level-deep reference ([the detailed guide](references/detailed-guide.md), which exists) and named sections for focused loading ('tenant-scoped contract', 'storage/chunking sections') that map to real headers in the guide. However, the guide itself is a monolithic ~890-line single file mixing frameworks, vector stores, and chunking strategies rather than content split across focused files, so 'content appropriately split' is only partially met — anchor 4, not 5.

Specificity

The description names the domain and work areas ('Design tenant-scoped memory, retrieval and retention for agents') but 'Design' is a single high-level action verb covering three objects rather than several distinct concrete actions like the anchor-4 example ('Extracts text from PDF files, fills forms, converts pages to images'). It clearly exceeds anchor 2, which only names a domain with minimal actions, so anchor 3 is the best fit.

Completeness

It explicitly answers both: 'what' ('Design tenant-scoped memory, retrieval and retention for agents') and 'when' ('Use when planning RAG, conversation history, vector stores or remembering across sessions') with concrete trigger phrases, matching the anchor-5 example pattern exactly. Anchor 4 would require the 'when' to be less explicit or specific, which is not the case here.

Trigger Term Quality

'RAG, conversation history, vector stores or remembering across sessions' are natural phrases a user planning agent memory would actually say, giving good keyword coverage. It falls short of anchor 5's comprehensive synonym coverage because a few natural variations of this domain are missing (e.g., 'embeddings', 'long-term memory', 'chat history'), while clearly exceeding anchor 3's 'missing common variations'.

Distinctiveness Conflict Risk

'Tenant-scoped memory, retrieval and retention for agents' carves a mostly distinct niche, but the triggers 'RAG' and 'vector stores' are broad terms shared with general RAG-pipeline or vector-database skills, creating minor overlap risk with closely related skills. This matches anchor 4 better than anchor 5, which requires minimal conflict risk with distinct triggers.