AC reversal-patterns
当用户在图上看到或怀疑头肩形、双重顶/底、三重顶/底、圆顶圆底、V 形等"价格图案"并想据此判断趋势反转时激活。 重点是形态的"完成条件"（必须先有趋势 + 颈线/关键位突破 + 量能验证），而非看见类似形状就行动。 不适用于：持续形态（转 continuation-patterns）、通用支撑阻挡线（转 trend-tools）。 关键 trigger 词：头肩顶/底、双重顶双重底、三重顶、圆底、V形反转、形态完成、颈线突破。 Activate when the user sees or suspects head-and-shoulders, double top/bottom, triple top/bottom, rounding, or V shapes on the chart and wants to judge trend reversal. Focus is on the "completion conditions" (must have a prior trend + neckline/key-level breakout + volume confirmation), not acting on a merely similar shape. Not applicable: continuation patterns (-> continuation-patterns), generic support/resistance (-> trend-tools). Key trigger words: head-and-shoulders top/bottom, double top/bottom, triple top, rounding bottom, V reversal, pattern completion, neckline breakout.
当用户在图上看到或怀疑头肩形、双重顶/底、三重顶/底、圆顶圆底、V 形等"价格图案"并想据此判断趋势反转时激活。 重点是形态的"完成条件"（必须先有趋势 + 颈线/关键位突破 + 量能验证），而非看见类似形状就行动。 不适用于：持续形态（转 continuation-patterns）、通用支撑阻挡线（转…
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "source_book" - note
frontmatter-keyunknown frontmatter key "source_chapter" - note
frontmatter-keyunknown frontmatter key "related_skills"
Process rating: all ten parameters 59/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 49 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 601 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 802: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 19 headings
- +3Step-by-step instructions: 49 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.