Conciseness

The body is efficient — it explains nothing Claude already knows (no what-is-MCP filler), and every section (Gotcha, Workflow, Mindset, Anti-Patterns) carries task-specific information. Minor trim opportunities exist: the Anti-Patterns' BAD/GOOD pairs and the Mindset bullets partially restate points already made in the Workflow, matching the 'efficient; minor instances of over-explanation' anchor rather than the every-token-earns-its-place anchor.

Actionability

Guidance is mostly executable: copy-paste commands (`node scripts/fetch-comparison-data.js > /tmp/context-radar-data.json`, `collect-active-tools.sh <project-dir>`), concrete destination paths, and worked mapping examples (`cargo-tokensave/latest/bin/tokensave` → id `tokensave`). Minor gaps keep it off the 5 anchor: the cross-referencing in step 4 is described but has no example of a worked finding, and there is no sample invocation output for the collection script.

Workflow Clarity

A clearly sequenced 6-step workflow with most checkpoints present: the fetch script validates the dataset shape (`isDataset` check), findings are classified into distinct types (redundancy, removal, staleness, phantom-tool), and the destructive-action risk is handled by an explicit 'Report, don't remediate' gate requiring user confirmation. Not the 5 anchor because there is no explicit error-recovery loop (e.g., what to do when the fetch fails or the shape check rejects the payload).

Progressive Disclosure

SKILL.md is a genuine overview: the full field list is split into `references/data-shape.md` (verified to exist, one level deep, no nested references), data operations live in the two scripts, and the References table signals each resource with a 'When to Use' column. This matches the clear-overview / well-signaled one-level-deep-references anchor; the body's inline field discussion is correctly limited to the two load-bearing fields.

Specificity

The description lists multiple concrete, distinct actions — "Audit a project's Claude Code tool stack", "check for redundant or conflicting tools", "decide what to install next", "evaluate a new context/memory/code-nav tool against what's already running" — with the domain precisely scoped (MCP servers, plugins, hooks). This matches the anchor for multiple specific concrete actions with comprehensive coverage; not the 4 anchor, which expects minor gaps in coverage.

Completeness

Both halves are explicit: the "what" ("Audit a project's Claude Code tool stack... against the curated recommendations at Context Radar") and the "when" ("Use when asked to review the Claude Code / MCP tool stack, check for redundant or conflicting tools, decide what to install next..."). This mirrors the top anchor's what-and-when with concrete trigger phrases; not the 4 anchor, where the 'when' could be more explicit.

Trigger Term Quality

An explicit "Triggers:" clause lists seven natural user phrasings — 'context radar', 'what tools should we use', 'audit our tool stack', 'is X redundant with Y', 'should I install this MCP server', 'tool stack review', 'context reduction tools' — covering synonyms and conversational variants users would actually say. Matches the comprehensive-coverage anchor; not the 4 anchor, which expects a few natural terms missing.

Distinctiveness Conflict Risk

A clear niche (Claude Code tooling audits against one named dataset) plus an explicit negative boundary — "DO NOT use for reviewing application dependencies (npm/cargo packages) or general code review - scope is Claude Code tooling only" — minimizes conflict risk with adjacent skills like general code review or dependency audits. Matches the clear-niche anchor; not the 4 anchor, which allows minor overlap risk.