AC moving-averages
当用户要用移动平均线（MA）判断趋势、选择均线类型/周期/组合，或理解四周规则（唐奇安突破）、 4-9-18 天组合，并清楚其"滞后性"与"横盘失效"局限时激活。 不适用于：超买超卖摆动指数（转 oscillators-contrarian）、画趋势线（转 trend-tools）。 关键 trigger 词：均线金叉死叉、移动平均线、四周规则、双均线、EMA、均线滞后、4-9-18。 Activate when the user wants to use moving averages (MA) to judge trend, choose MA type/period/combination, or understand the four-week rule (Donchian breakout), the 4-9-18 day combo, and its limitations of "lag" and "failure in range-bound markets". Not applicable: overbought/oversold oscillators (-> oscillators-contrarian), drawing trendlines (-> trend-tools). Key trigger words: MA golden/death cross, moving average, four-week rule, dual MA, EMA, MA lag, 4-9-18.
当用户要用移动平均线（MA）判断趋势、选择均线类型/周期/组合，或理解四周规则（唐奇安突破）、 4-9-18 天组合，并清楚其"滞后性"与"横盘失效"局限时激活。 不适用于：超买超卖摆动指数（转 oscillators-contrarian）、画趋势线（转 trend-tools）。 关键 trigger…
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 592 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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 664: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 49 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.