Persistent Semantic Memory Design

The skill explicitly recommends privacy consideration, retention policies, deletion rights, session scoping, and non-blocking storage-failure handling. However, it does not define least privilege, user confirmation, sensitive-data classes, encryption, access control, data-flow disclosure, or rollback for persisted data, so 9 points are deducted. No malicious behavior or obvious overreach is shown.

The document is internally organized and covers empty retrieval, stale results, conflicting facts, and storage failures, with an accompanying implementation script. However, consolidation is unimplemented, dependencies are not pinned, hash-based pseudo-embeddings are not stable across processes, and the script's text-field behavior differs from some examples and reference code. Because this is static review with no skill-specific tests, the score is conservatively capped at 6, deducting for reproducibility and incomplete failure diagnostics.

Activation scenarios, intended use, and boundaries with filesystem-context, context-compression, and context-optimization are clearly stated, covering file, vector, graph, and temporal memory. It lacks sufficiently explicit non-fit ranges, input/output contracts, platform requirements, Chinese-language support, and mainland-China network reachability, so 4 points are deducted.

The skill uses progressive structure with frontmatter, activation criteria, layered concepts, practical guidance, examples, error recovery, integration notes, and references. The repository supplies an MIT license, version, creation/update dates, and author information. It lacks a clear maintenance owner, update procedure, changelog, dependency-installation guidance, FAQ, and a fully demonstrated path for validating internal references, so 5 points are deducted.

The skill provides directly usable architecture-selection, retrieval, temporal-modeling, and recovery guidance, plus Python examples and an integration script, so it plausibly completes the core design task. However, the examples use pseudo-embeddings, consolidation is a no-op in the integrated implementation, several components are explicitly demonstrative, and representative outputs or comparative benefits are not verified. Under the static cap, it receives 6, with deductions for limited production readiness and evidence.

The repository includes reference lists, claimed benchmarks, router regression materials, and CI, but the supplied CI primarily validates researcher tooling and other examples rather than the memory-systems key paths. Benchmark figures and external papers are not supplied with reproducible result artifacts in this material. This supports limited auditability but not independent reproduction, so 4 points are awarded with deductions for thin cross-validation and skill-level test coverage.