Content
78%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A concise, well-organized reference whose pattern tables and scoring rules are efficient and clear. Its main gaps are executability — no pandas code or quantitative detection formulas despite the description promising a vectorized implementation — and an internal consistency problem: the double-candle table lists 6 patterns under a "(5)" header, and the 15-pattern total does not reconcile with what is actually documented (5 + 6 + 4 + 1 = 16, with the trend-confirmation pattern unnamed).
Suggestions
Add an executable pandas snippet showing the vectorized body/shadow computation and at least one pattern's detection expression, so the promised implementation is concrete rather than implied.
Fix the count inconsistencies: the Double-Candle table lists 6 patterns under a "(5)" header, and the "1 trend confirmation" pattern is never named or defined — reconcile these against the stated total of 15.
Tighten the qualitative detection criteria (e.g., define "small body" and "long shadow" numerically in terms of body_pct and shadow_ratio) so pattern rules are unambiguous, and drop the unused `requests` dependency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and efficient: tables carry the pattern definitions, the signal logic is two sentences, and parameters are a compact table — every token earns its place with no padding or explanation of concepts Claude already knows. Not 4 because there are no trimmed-able over-explanations at all; the only blemish (unused `requests` dependency) is an accuracy issue, not verbosity. | 5 / 5 |
Actionability | The signal logic ("Bullish patterns score +1, bearish patterns score -1..."), parameters (body_pct 0.1, shadow_ratio 2.0), and signal convention (1/-1/0) are concrete, but the skill promises a "pure pandas vectorized implementation" while providing no code, no formulas for body/shadow computation, and detection criteria that are qualitative prose ("long lower shadow", "small body") rather than executable rules. It sits between pseudocode-level guidance and executable guidance — key implementation details are missing, matching anchor 3 rather than 4. | 3 / 5 |
Workflow Clarity | As a single-purpose compute task, the sequence — detect patterns, sum +1/-1 scores, emit 1/-1/0 — is clear and unambiguous, satisfying the simple-skill exception. Not 5 because the 15th pattern ("1 trend confirmation") is never named or defined, leaving one input to the scoring pipeline unspecified, and the qualitative detection criteria leave ambiguity a validation checkpoint would otherwise catch. | 4 / 5 |
Progressive Disclosure | This is a short (~54 lines), single-purpose skill with no external references needed; the sections (Purpose, Signal Logic, Parameters, Dependencies, Signal Convention) are well-organized and appropriately scoped for a self-contained SKILL.md, which the rubric's simple-skill guideline scores at 5. | 5 / 5 |
Total | 17 / 20 Passed |