Conciseness

The core scoring criteria, thresholds, and data-collection blocks are efficient, but the body carries substantial non-operational padding: the v2.0→v2.1 revision narrative is repeated across "Key Revisions", "Key Change in v2.1", the "Summary: Essence of v2.1 Revision", and the output template, plus dated version-history content ("v2.0 Problem (Identified Nov 2025)"). Not a 2 because it never explains concepts Claude already knows; not a 4 because the duplicated changelog material is genuinely removable.

Actionability

Fully executable guidance for an instruction-only skill: exact mechanical thresholds per indicator ("P/C < 0.70", "VIX < 12 AND within 5% of 52-week high", "YoY +20%"), copy-paste search queries ("web_search 'CBOE put call ratio'"), concrete data-source URLs, explicit valid/invalid evidence examples, and a complete output report template. Not below 5 because the guidance covers the common cases end-to-end without gaps.

Workflow Clarity

Clear strict four-phase sequence with an explicit gate ("Do NOT proceed with evaluation without Phase 1 data collection"), a confirmation-bias checklist before qualitative adjustments, and self-check questions per adjustment. Not a 5 because validation is contradictory in places — the Implementation Checklist and Principle #3 still say "+5 point limit" while Phase 3/4 and the output template say +3 — and there is no error-recovery path when Phase 1 data is unavailable; not a 3 because checkpoints are otherwise explicit and well-placed.

Progressive Disclosure

Five real reference files are all listed with per-file purpose and a "When to Load References" section, one level deep with no nested references. Not a 5 because scripts/bubble_scorer.py exists in the bundle but is never mentioned in SKILL.md (and implements an older 8-indicator/0–16-point scheme that conflicts with v2.1), and changelog/revision-history content that belongs in a separate file is inlined in the overview.

Specificity

Lists several concrete actions — "Evaluates market bubble risk", "Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data)", "mandatory data collection and mechanical scoring" — with named metrics. Not a 5 because "Features strict qualitative adjustment criteria with confirmation bias prevention" describes the artifact's features rather than an action Claude performs, leaving minor coverage gaps.

Completeness

Explicitly answers both: what ("Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1") and when ("Use when user asks about bubble risk, valuation concerns, or profit-taking timing"). Not a 5 because the when-clause covers only three triggers and is narrower than the skill's actual trigger set, and part of the what is framework meta-description rather than capability.

Trigger Term Quality

Natural phrases present: "bubble risk", "valuation concerns", "profit-taking timing" — terms a user would plausibly say. Not a 5 because common variations the body itself lists ("Are we in a bubble?", market top, short-selling timing, risk management for positions) are absent from the description.

Distinctiveness Conflict Risk

Clear niche (bubble detection with a named framework and specific metrics) with distinct triggers, so mostly distinguishable. Not a 5 because "valuation concerns" and "profit-taking timing" are broad phrases that overlap with general valuation-analysis and investment-advice skills.