Conciseness

The body is lean and assumes competence: every section (Overview, When to Use, Prerequisites, Output, Workflow, Quick Commands, Resources) is task-specific with zero filler, no explanation of concepts Claude already knows, and no padding. It matches the 'every token earns its place' anchor; nothing needed trimming to the level of 4.

Actionability

The three Quick Commands are concrete, copy-paste-ready bash invocations whose flags match the actual argparse interfaces of detect_stagnation.py and generate_pivots.py (verified). Minor gaps keep it below 5: the --diagnosis and --strategy arguments use wildcard placeholders (reports/pivot_diagnosis_*.json) that must be filled in — and the script accepts a single diagnosis path, so a shell glob would silently pass only the last match — and there is no example of interpreting the diagnosis or ranking output.

Workflow Clarity

The seven-step workflow is clearly sequenced, contains an explicit decision gate ("If stagnation detected, generate pivot proposals"), and closes a feedback loop by feeding selected pivots back into backtest-expert. It fits 'clear sequence with most checkpoints present; minor validation gaps': no step validates generated pivot YAML against the pivot proposal schema or mentions the bundled tests, and the file-generation steps produce batch outputs without a verify step. It is not capped at 3 because the operations are additive file generation, not destructive or destructive-batch changes.

Progressive Disclosure

The SKILL.md is a clean overview with details correctly split into four real, one-level-deep reference files (stagnation_triggers, strategy_archetypes, pivot_techniques, pivot_proposal_schema — all verified present with substantive content) and two scripts. It sits at 4 rather than 5 because the Resources section lists reference paths bare, without one-line annotations or in-text signposts (e.g., workflow step 3 names the three pivot techniques but never says 'see references/pivot_techniques.md'), so navigation is good but not fully signaled.

Specificity

The description names exactly two concrete actions — "Detect backtest iteration stagnation and generate structurally different strategy pivot proposals" — which matches the '1-2 concrete actions, but not comprehensive' anchor. It omits real capabilities (ranked proposals, diagnosis reporting, exportable ticket generation) that would push it to 4, but it is well above the generic 'names the domain but actions are minimal' level of 2.

Completeness

It answers both parts: what ("Detect... and generate structurally different strategy pivot proposals") and when ("when parameter tuning reaches a local optimum"). The when-clause is explicit but narrow — it names only the local-optimum condition and misses the other stagnation triggers (overfitting, cost defeat, tail risk) the body documents, so it fits 'has both what and when; when could be more explicit or specific' rather than the fully concrete trigger coverage of 5.

Trigger Term Quality

Natural domain phrases like "backtest iteration stagnation", "parameter tuning", and "local optimum" are exactly what a user of this pipeline would say. A few natural synonyms from the skill's own When-to-Use list (plateau, overfitting, tail risk, transaction costs) are missing, which keeps it below the comprehensive synonym coverage of 5 but clearly above the sparse keyword level of 3.

Distinctiveness Conflict Risk

The vocabulary ("backtest iteration stagnation", "strategy pivot proposals", "parameter tuning reaches a local optimum") carves out a clear niche distinct from adjacent skills like strategy designers or parameter tuners, with minimal conflict risk. It is in no way generic, so the overlap-risk anchors at 1-4 do not apply.