AC market-signals
技术信号扫描器 v1.1.0。从价格数据计算RSI(14)、均线(5/10/20)、 成交量异动、ATR波动率、MACD、布林带(±2σ)、VWAP。 综合评分(0-100)给出买入/关注/观望/回避建议。 支持多股票一键扫描(scan)、信号历史追踪(history)、支撑/阻力位识别。 Use when: 需要快速扫描多只股票的技术面、 获取买入/卖出信号、信号历史分析、支撑阻力位参考。 🎉 v1.1.0 新增: - 布林带(±2σ, %b, 带宽) - VWAP 成交量加权均价 - 支撑/阻力位识别(基于20日局部极值) - 信号组合综合评分(含明细) - --scan: 多股票一键扫描 - --history: 信号历史追踪 - --chart: ASCII价格走势图 - 更详细的单股票分析报告 触发关键词：技术分析、信号扫描、RSI、均线、MACD、布林带 适用范围：CSV 价格数据(date, close, volume, high, low) 运行模式：纯本地
技术信号扫描器 v1.1.0。从价格数据计算RSI(14)、均线(5/10/20)、 成交量异动、ATR波动率、MACD、布林带(±2σ)、VWAP。 综合评分(0-100)给出买入/关注/观望/回避建议。 支持多股票一键扫描(scan)、信号历史追踪(history)、支撑/阻力位识别。 Use when…
As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 50/100
- 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
- 75Steps. 3 steps
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 507 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +1No license
- +2Single-language instructions
- +3Description length 447: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.