Conciseness

The body is almost entirely operational rules and templates with no explanation of concepts Claude already knows, but it contains avoidable redundancy: inverse-edge guidance appears twice ('Add reciprocal or inverse edges when they carry useful, source-supported meaning' in the Typed edges list and again in the standalone 'Use inverse edges selectively' paragraph), and the Quality check section restates many body rules. Not 5 because some tokens (the duplicated inverse-edge rules and repeated checklist items) do not earn their place; not 3 because there is no padding or over-explanation of known material.

Actionability

The guidance is fully executable: exact artifact tree, a copy-paste-ready node frontmatter template, a concrete JSONL edge example ('{"from":"孙悟空","relation":"member_of",...}'), explicit ID and predicate conventions (lowercase snake_case, kebab-case IDs, sort by from/relation/to), and a specific error-recovery rule for merged duplicates ('rewrite all affected edge endpoints to the surviving entity ID'). Not 4: the templates and conventions cover the common cases with no notable gaps.

Workflow Clarity

The Workflow section defines a clear Survey → Normalize → Extract → Integrate sequence, and the Quality check section provides an explicit, comprehensive pre-finish validation checklist ('Before finishing, verify that: every node has matching file and frontmatter IDs...'), so the batch-operation validation cap does not apply. Not 5: no explicit fix-and-revalidate feedback loop is written (what to do when a quality check fails is left implicit), which is the minor validation gap of the 4 anchor.

Progressive Disclosure

The single file is well organized with clear, navigable sections (Goal, Entity nodes, Typed edges, Provenance, Display contract, Workflow, Quality check) and no nested or dead references. Not 5: at ~225 lines of dense rules the SKILL.md is more than a lean overview — secondary material such as the Display contract and the detailed ID-localization rules could live one level deep in a reference file to keep the main file a tighter overview; not 3 because nothing clearly requiring separation (bulk API reference, etc.) is inlined.

Specificity

The description lists multiple concrete actions — 'Compile documents, notes, web content, transcripts, research materials, or code repositories into an evidence-grounded, visualization-ready knowledge graph' and 'create or incrementally refresh `entities/*.md` node artifacts and a root `relations.jsonl` edge file' — covering inputs, outputs, and refresh behavior comprehensively. Not 4: there are no coverage gaps; input kinds, output artifacts, and node/edge semantics are all enumerated.

Completeness

The 'what' is explicit (compile sources into a typed knowledge graph producing entity node artifacts and a relations.jsonl edge file) and the 'when' is an explicit trigger clause: 'Use with ov compile to create or incrementally refresh `entities/*.md` node artifacts and a root `relations.jsonl` edge file'. Not 4: the use clause is concrete and specific rather than one that 'could be more explicit'.

Trigger Term Quality

Natural user terms are comprehensively covered with synonyms ('documents, notes, web content, transcripts, research materials, or code repositories', 'knowledge graph', 'people, organizations, groups... places, products, projects') plus file extensions ('.md', '.jsonl'). Not 4: the missing-terms gap of the 4 anchor does not apply — both natural phrasing and artifact extensions are present.

Distinctiveness Conflict Risk

It occupies a clear niche — building typed knowledge graphs ('semantically typed entity nodes, statement-level provenance, and typed relationship edges') tied to a specific tool invocation ('Use with ov compile') and specific artifact paths. Not 4: overlap risk with generic document or note-processing skills is minimal because the output form and trigger are distinctive.