Conciseness

The body is dense with genuinely novel domain knowledge (endpoints, thresholds, gotchas) and assumes Claude's competence, with only minor trimmable content: the 'Guided Approach (Simulate Labs)' and 'Interactive Labs Simulation' sections overlap, and the Purpose paragraph contains a marketing-fluff sentence. Not a 3 because there is no padded explanation of concepts Claude already knows; not a 5 because that redundancy could be trimmed.

Actionability

Fully executable guidance: exact endpoints in a reference table, copy-paste JSON payloads for process_feedbacks and create_from_call_log, specific parameters (page_size=1 to count calls, page_size up to 200), numeric thresholds (6+ feedback instances, >100 calls cost guard, 20-30 call validation sample), and explicit gotchas (bare metric IDs return 500; PATCH required after auto-improve).

Workflow Clarity

The sequence (manual fixes first → identify → feedback → accumulate 6+ → auto-improve → validate → deploy) is explicitly numbered with validation checkpoints (re-evaluate a 20-30 call sample, regression check on previously correct calls) and a feedback loop ('If validation fails, leave additional feedback and iterate'). The batch-evaluation cost guard with a stop-and-ask above 100 calls satisfies the validation requirement for batch operations.

Progressive Disclosure

The single bundle file references/feedback-examples.md exists, is one level deep, and is clearly signaled with its purpose. Not a 5 because the API Endpoints Reference (~40 lines of endpoints and payload schemas) and the good/bad feedback patterns are inlined in SKILL.md and could be split out; not a 3 because structure is good, references are properly signaled, and no nested references exist.

Specificity

The trigger list enumerates several concrete intents ('improve a metric', 'run labs', 'leave feedback on a metric', 'fix metric accuracy', 'find misaligned metrics') and the what-clause names the feedback workflow and labs pipeline, matching 'lists several specific actions; minor gaps'. It is not a 5 because 'Covers the metric improvement cycle, the feedback workflow, and the labs pipeline' states areas covered rather than explicit capability verbs, and not a 3 because more than 1-2 concrete actions are named.

Completeness

An explicit 'Use when the user asks to...' clause with eight concrete trigger phrases answers 'when' clearly, and 'Covers the metric improvement cycle, the feedback workflow, and the labs pipeline' answers 'what'. Not a 5 because the 'what' is abstract ('Covers...') rather than stating the concrete actions performed; not a 3 because both what and when are explicitly present.

Trigger Term Quality

Phrases like 'run labs', 'fix metric accuracy', 'review metric results', and 'iterate on metric quality' are natural user utterances in this domain, giving good coverage. Not a 5 because common variations such as 'metric is wrong', 'false positives', 'tune/calibrate metrics' are missing; not a 3 because coverage goes well beyond a couple of generic keywords.

Distinctiveness Conflict Risk

The niche (metric improvement via labs feedback) is distinct with trigger phrases unlikely to fire generic skills, but terms like 'review metric results' and 'fix metric accuracy' carry minor overlap risk with the sibling skill cekura-metric-design referenced in the body. Not a 5 due to that sibling overlap; not a 3 because the triggers are domain-specific, not broadly generic.