BC python-data-analysis
拿到一堆数据不知道怎么分析？丢数据进来，自动生成Python分析代码并执行，输出可视化图表和结论。统计建模、时间序列、机器学习全覆盖。不用你会写代码，只要会提问就行。 触发词：数据分析、Python分析、统计分析、数据可视化、数据建模、回归分析、相关性分析、数据清洗、机器学习、聚类分析、预测分析、数据报告 排除：纯Python编程(无数据)、Excel操作(用excel_master)、数据库管理、网页爬虫
拿到一堆数据不知道怎么分析？丢数据进来，自动生成Python分析代码并执行，输出可视化图表和结论。统计建模、时间序列、机器学习全覆盖。不用你会写代码，只要会提问就行。 触发词：数据分析、Python分析、统计分析、数据可视化、数据建模、回归分析、相关性分析、数据清洗、机器学习、聚类分析、预测分析、数据报告…
As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
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: 5. 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 57/100
- 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
- 40Consistency. Frontmatter name (python-data-analysis) differs from the folder (mimo-python-data-analysis)
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 90 steps
- 100Execution cost. Instruction body is 1075 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)
- -226 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 205: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 90 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.