Conciseness

The body is dense with non-obvious domain knowledge (metric family names, service.name values, the '$l.applicationName' vs '$l.applicationname' casing distinction) and explains nothing Claude already knows. It is not anchor 5 because the agent→data-source mapping is stated twice — once in the 'Supported Agents' table and again nearly verbatim in the 'First Response' bullets ('Claude Code metrics: PromQL over claude_code_* metrics' etc.) — which could be trimmed. Clearly above anchor 3 ('mostly efficient but some unnecessary explanation').

Actionability

Concrete, executable command syntax is given ('cx metrics query-range \'<expr>\'', '-o toon', '-p <profile> (repeatable)') plus exact filter patterns ('{user_email="<user>",model="<model>",...}' and '| filter $l.applicationName == \'<application>\''). Not anchor 5 because no complete worked query is shown — every command is a template with '<expr>'/'<dataprime_query>' placeholders, so Claude must assemble a full query from pieces; but it is well above anchor 3 (pseudocode/incomplete).

Workflow Clarity

A clear sequence is present: 'First Response' (identify agent/goal, 'If any required scope is missing, ask before querying'), then the 'Loading References' table naming exactly which files to load per agent, then query, then the 'Answer Style' output contract including caveats about 'empty data, approximate counts, pseudonymous users'. This matches anchor 4 ('clear sequence with most checkpoints present'). Not 5 because there are no explicit validation/feedback steps on results (e.g., what to do when a query returns empty before concluding 'no data'), and the 'First Response' section — logically step one — appears after the CLI Commands section.

Progressive Disclosure

Textbook structure: the body is an overview with a dedicated 'Loading References' table that signals exactly which of the ten real, one-level-deep reference files to load per agent ('references/claude-code.md' + 'references/promql-guidelines.md' + 'references/metrics-querying.md'), and every referenced path exists in ./references/ with no nested chains beyond shared sibling files. Matches anchor 5 ('clear overview with well-signaled one-level-deep references; content appropriately split; easy navigation').

Specificity

The description names the domain ('AI Center Coding Agents data') and one concrete action ('reproduce or extend the Coding Agents dashboards'), but the skill's actual capabilities — routing to reference files, running `cx metrics`/`cx logs`/`cx spans` queries — are never stated; the enumerated topics ('usage, cost, tokens, sessions...') are triggers, not actions. This matches anchor 3 ('names domain and 1-2 concrete actions, but not comprehensive') better than 4, which expects several specific listed actions.

Completeness

The 'when' is explicit and detailed ('Use this skill when the user asks about... or asks questions about...'), and a partial 'what' exists ('reproduce or extend the Coding Agents dashboards'), so both are present — matching anchor 4 ('has both what and when; when could be more explicit'). Not 5 because the 'what' is never stated concretely (what the skill does when invoked is left to the body); not 3 because the when clause is explicit, not 'missing or only weakly implied'.

Trigger Term Quality

Strong natural-keyword coverage: 'usage', 'cost', 'tokens', 'sessions', 'dashboards', 'logs', plus all five agent names ('Claude Code, Codex, Cursor, Gemini CLI, or Copilot CLI') — exactly what a user would say. Not anchor 5 because a few plausible natural phrasings are missing (e.g., 'spend', 'billing', 'compare agents'), and it is noticeably above anchor 3 ('some relevant keywords but missing common variations').

Distinctiveness Conflict Risk

Clear niche ('AI Center Coding Agents data' for five named agents) with distinct triggers — the combination of specific agent names and data vocabulary (spans, logs, dashboards) makes wrong-skill triggering unlikely. Matches anchor 5 ('clear niche with distinct triggers; minimal conflict risk').