Conciseness

The body is dense and directive with no concept explanations Claude already knows (no 'what is production' padding), and steps like 'Locate the relevant code' carry only decision-relevant bullets. A few conditional sentences are wordy ('Use the default duration only when it covers expected signal latency and fits task or session bounds; otherwise use an explicit bounded window and state why'; 'Treat only actions created or explicitly inherited for this request as owned') and the telemetry preamble adds non-task tokens, keeping it just below the every-token-earns-its-place anchor.

Actionability

Concrete guidance throughout: a capability-selection table ('What is the current value of X? → Snapshot/expression capture'), source-selection rules, an error-handling table, and a fully worked example (question → selection → call → validation → representative result → answer). The illustrative call 'measure_duration({...})' is not literally executable, but the disclaimer is explicit and justified by the skill's schema-driven discovery model ('Take real tool names and parameters from the exposed MCP schema'), so guidance is actionable with only the runtime-dependent invocation as an inherent gap.

Workflow Clarity

A clear six-step sequence with explicit validation gates and feedback loops: 'If no executable location can be identified, do not capture; return the blocker, required remediation, and retry condition', source preflight pass/fail criteria, schema-status branching ('new results → retrieve them; non-terminal without new results → wait within the bounded window... terminal → report the blocker or empty result'), and 'After repeated no-data or low-information results, revalidate or change the source, code location, signal, or window'. An error-handling table adds recovery actions. This matches the anchor for explicit validation steps with error-recovery feedback loops; it is not the level-4 anchor because checkpoints are explicit rather than mostly present.

Progressive Disclosure

The single bundle reference (references/mcp-tool-discovery.md) exists, is well-structured (64 lines with matching headings), is referenced twice with clear signals including a working anchor link ('Source discovery (preflight)'), and is exactly one level deep. The core workflow and worked example are appropriately inline, and discovery/preflight detail is correctly offloaded — matching the clear-overview, well-signaled one-level-deep-references anchor.

Specificity

It lists multiple concrete measurement actions — 'current variable values, execution durations, hit counts, and value distributions' — via the concrete mechanism 'instrumenting running services with Lightrun MCP tools', in third-person voice. Coverage matches the capability set in the body comprehensively, fitting the multiple-specific-concrete-actions anchor rather than the minor-gaps anchor below it.

Completeness

It explicitly answers both: what ('Answer questions about live production system behavior — current variable values, execution durations, hit counts, and value distributions — by instrumenting running services') and when ('Use when the question requires live runtime data rather than static code analysis' plus concrete trigger examples), and adds when-not-to-use guidance. This is the clear both-what-and-when-with-concrete-trigger-phrases anchor.

Trigger Term Quality

It includes natural user phrasings users would actually say — 'show recent requests to this endpoint', 'show the runtime distribution for this operation', 'what values appear for this expression in production?', 'which branch runs for customer X?' — plus synonyms ('live production', 'live runtime data', 'in production'). This matches the comprehensive-natural-terms anchor; it does not fall to 4 since synonym and phrase coverage is broad, not just good.

Distinctiveness Conflict Risk

It carves a clear niche (live runtime measurement vs static code analysis), explicitly excludes overlapping cases ('Do not use for incident diagnosis, pull-request review, code changes, setup, or deployment'), and routes diagnosis questions to named sibling skills with fallback logic. Minimal conflict risk — matching the clear-niche-with-distinct-triggers anchor.