AD data-auto-analyzer
数据自动分析 + 广告投放优化一体化 Skill。当用户上传 Excel/CSV 文件，或提到以下任一场景时必须触发：①通用数据分析（看报表、数据趋势、可视化）；②账户诊断（哪些计划效果差、哪些要暂停、投放诊断、账户体检）；③A/B 测试分析（两组数据对比、哪个版本好、是否显著、置信度）；④日报生成（投放日报、每日汇报、钉钉/飞书周报、对比昨日）。适用于信息流广告优化师、运营、数据分析师。支持巨量引擎、腾讯广告、Meta Ads、Google Ads、快手等平台导出数据，也支持销售、财务、运营等任何结构化表格。即使用户只说"分析一下""看看报表""哪些计划要调整""这俩哪个好""生成日报"，也应触发此 Skill。
As a process D 46/100 · Unfinished process — 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: 10. 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 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1193 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
- +1No license
- +2Single-language instructions
- +3Description length 311: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 5 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.