AC first-board-overnight
基于可审计 A 股数据执行首板隔夜模拟策略的决策技能。用于评估当日首板赚钱效应、筛选首板候选、生成带证据的 BUY、WATCH 或 NO_TRADE 决策并制定 T+1 退出计划。当用户需要评估首板赚钱效应、做首板留仓决策、制定隔夜打板策略或复盘首板案例时触发（包含触发词：首板隔夜, 首板候选, 今晚要不要留首板, 隔夜打板, 涨停首板, first board overnight）。
基于可审计 A 股数据执行首板隔夜模拟策略的决策技能。用于评估当日首板赚钱效应、筛选首板候选、生成带证据的 BUY、WATCH 或 NOTRADE 决策并制定 T+1 退出计划。当用户需要评估首板赚钱效应、做首板留仓决策、制定隔夜打板策略或复盘首板案例时触发（包含触发词：首板隔夜, 首板候选, 今晚要不要留首板…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 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
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 525 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 194: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 26 items
- +4Reference files are cited in the instructions (7 of 7)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.