Conciseness

The body is dense and operational, with no explanation of concepts Claude already knows, but the 'do not re-check/poll' point is repeated across three sections ('do not call the CLI or MCP merely to keep checking', 'do not poll status on every turn', 'Reuse the result') and the WSL/Windows section carries niche detail, matching anchor 4's 'minor instances of over-explanation that could be trimmed' rather than anchor 5's every-token-earns-its-place.

Actionability

Guidance is mostly executable: a concrete MCP call signature ('get_minimal_context_tool(task=<short task>, repo_root=<root>)') and six copy-paste CLI wrapper commands whose subcommands match the actual bundled script. Minor gaps (the 'available graph-stats tool' is never named, and MCP query names are left generic) place it at anchor 4 rather than anchor 5's fully executable, common-cases-covered level.

Workflow Clarity

The entry workflow is a clear numbered sequence with explicit validation gates: exactly one read-only health check with concrete readiness/staleness criteria ('nodes or files is zero, or last_updated is null'), a retry-once-then-CLI-fallback error loop, a stop condition for stale graphs, and post-mutation verification — matching anchor 5's 'explicit validation steps; feedback loops for error recovery' rather than anchor 4's 'minor validation gaps'.

Progressive Disclosure

The body is a well-organized, compact overview whose only bundle dependency — 'scripts/crg_readonly.py' — is a real, clearly signaled, one-level-deep reference that exists and matches the documented subcommands. No content that belongs in a separate file is inlined and there are no nested references, so it meets the top anchor for a short, well-structured skill.

Specificity

The description lists multiple specific concrete actions — 'compact repository exploration, architecture questions, code review, debugging, dependency tracing, impact analysis, and refactoring safety checks' — giving comprehensive coverage of what the skill does, matching the score-5 anchor rather than the score-4 anchor's 'minor gaps in coverage'.

Completeness

It explicitly answers both 'what' (the listed graph-backed capabilities) and 'when' ('Use when the user mentions CRG/code-review-graph, asks to use its graph, or an existing graph can materially narrow repository work'), plus an explicit anti-trigger ('do not invoke it repeatedly for an ordinary repository with no graph'), matching the score-5 anchor with concrete trigger phrases.

Trigger Term Quality

Natural terms like 'code review', 'debugging', 'impact analysis', and synonyms 'CRG/code-review-graph' are present, but a few phrasings users would plausibly say (e.g., 'call graph', 'who calls this function', 'trace dependencies') are absent from the trigger clause. This sits above anchor 3 ('some relevant keywords but missing common variations') but below anchor 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

It names a clear niche (the local code-review-graph/CRG knowledge graph) with distinct triggers tied to the tool's name or an existing graph, so it is unlikely to fire for unrelated skills — matching the 'clear niche with distinct triggers; minimal conflict risk' anchor rather than anchor 4's 'minor overlap risk'.