AC finance-tools
财务分析工具集 v1.1.0。7个子命令覆盖财务分析全流程。 自动识别CSV中的金额、日期、类别列。 纯Python标准库，无外部依赖。 Use when: 需要快速分析交易数据、计算财务比率、 查看收支趋势、分类汇总、预算对比、同比环比、趋势预测。 🎉 v1.1.0 功能: - analyze — 收支汇总 + 分位数 + 月度净额 - ratios — 财务比率(毛利率/净利率/ROE/ROA/ROI/负债率) - trend — 月度趋势(含MA移动平均和YoY) - category (NEW) — 分类汇总(ASCII条形图+占比) - budget (NEW) — 预算 vs 实际对比(执行率) - yoy (NEW) — 同比/环比增长分析 - forecast (NEW) — 趋势预测(线性回归/移动平均) 触发关键词：财务分析、收入支出、财务比率、趋势分析、 分类汇总、预算管理、同比环比、数据预测 适用范围：CSV 格式的财务/交易数据 运行模式：纯本地，无网络请求 ❎ 外部依赖：Python标准库（无需额外安装）
财务分析工具集 v1.1.0。7个子命令覆盖财务分析全流程。 自动识别CSV中的金额、日期、类别列。 纯Python标准库，无外部依赖。 Use when: 需要快速分析交易数据、计算财务比率、 查看收支趋势、分类汇总、预算对比、同比环比、趋势预测。 🎉 v1.1.0 功能: - analyze — 收支汇总 +…
As a process C 53/100 · 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: 0. 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 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. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 603 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 477: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.