AC point-figure
当用户要用点数图（P&F，X/O 列图）识别支撑阻挡、用"三点转向"生成简洁买卖信号，或用"横向数列法" 测算价格目标，并需要理解"点数图无时间轴、按反转幅度记录"的制图逻辑时激活。 不适用于：蜡烛/线图形态（转 ta-chart-basics）、画趋势线（转 trend-tools）。 关键 trigger 词：点数图、P&F、X/O 列、三点转向、横向数列法、转行参数、整数格。 Activate when the user wants to use point-and-figure charts (P&F, X/O columns) to identify support/resistance, generate clean buy/sell signals with "three-point reversal", or measure price targets via the "horizontal count method", and needs to understand that "P&F has no time axis and records by reversal magnitude". Not applicable: candle/line chart patterns (-> ta-chart-basics), drawing trendlines (-> trend-tools). Key trigger words: point-and-figure, P&F, X/O column, three-point reversal, horizontal count, reversal amount, box size.
当用户要用点数图（P&F，X/O 列图）识别支撑阻挡、用"三点转向"生成简洁买卖信号，或用"横向数列法" 测算价格目标，并需要理解"点数图无时间轴、按反转幅度记录"的制图逻辑时激活。 不适用于：蜡烛/线图形态（转 ta-chart-basics）、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. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 529 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
- +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
- +5Description quotes 5 example trigger phrases
- +3Description length 735: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 38 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.