Conciseness

The body is lean and assumes competence — no explanation of what stocks or indicators are, just feature lists, commands, and a parameter table — matching anchor 4's 'efficient; minor instances that could be trimmed'. It misses anchor 5 only because of small redundancies: `export PYTHONIOENCODING=utf-8` is repeated verbatim in four code blocks, and the 'When to Use This Skill' section duplicates trigger guidance that belongs in the description.

Actionability

Guidance is fully copy-paste ready: concrete executable commands (`python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 601288.SS`), a parameter table with defaults and valid values, ticker format examples for all three markets, and a script that actually exists at the referenced path and takes exactly those arguments. This matches the 'fully executable; copy-paste ready; covers common cases' anchor.

Workflow Clarity

The workflow is a clearly sequenced three-step process (identify ticker — with an explicit fallback of web-search when only a company name is given — execute, interpret) with interpretation guidance. It sits at anchor 4 ('clear sequence with most checkpoints; minor validation gaps') rather than 5 because there are no error-recovery checkpoints (e.g., what to do when the script errors, data is N/A, or the ticker is invalid), though the operations are read-only so the destructive/batch cap does not apply.

Progressive Disclosure

Structure is good: clear section headers, the single bundle file (`scripts/analyze.py`) is correctly referenced via `$SKILLS_ROOT` and exists, and there is no reference nesting. It matches anchor 4 rather than 5 because some overview material (the 8-section output structure, feature breakdown) is inlined where a well-signaled one-level reference could carry it, and no reference files are used to offload detail even though the skill exceeds the under-50-line simple-skill threshold.

Specificity

The description lists several specific actions — 'combines real-time quotes, fundamental metrics, technical indicators, and growth analysis into a single professional report' and 'generates detailed investment recommendations with risk assessment and actionable trading strategies' — matching the 'several specific actions; minor gaps' anchor. It falls short of the 5 anchor because the metrics themselves stay generic (no named indicators like P/E, RSI, or MACD) and 'comprehensive'/'professional' are mild padding, and it is above anchor 3 because it goes well beyond naming a domain with 1-2 actions.

Completeness

The 'what' is clear and concrete (multi-dimensional stock analysis producing a report with recommendations and risk assessment), but there is no 'Use when...' clause or equivalent explicit trigger guidance anywhere in the description — the when-guidance only appears in the body's 'When to Use This Skill' section. Per the judging guideline, a missing use-when clause caps completeness at 3, matching the 'clear what, missing or weakly implied when' anchor.

Trigger Term Quality

Natural user phrases are present: 'stock deep analysis', 'real-time quotes', 'investment recommendations', 'trading strategies', plus market scope ('A-share, US stocks, HK stocks'). A few natural terms users would say are missing (e.g., 'valuation', 'equity', ticker-style mentions), which matches anchor 4 rather than 5; it clearly exceeds anchor 3's 'missing common variations' since multiple natural phrasings appear.

Distinctiveness Conflict Risk

The description carves out a clear niche — multi-dimensional stock analysis across A-share/US/HK markets with investment ratings — that is unlikely to collide with other skills, matching the 'clear niche with distinct triggers; minimal conflict risk' anchor. It is above anchor 4 because the scope (per-market stock analysis and trading recommendations) leaves essentially no overlap with document, code, or general-data skills.