CD ba-workbench
【商业分析超级工作台 / Business Analysis Super Workbench】—— 全球顶尖商业分析全栈智能工作台。深度融合IIBA BABOK V3 + PMI-PBA + McKinsey/BCG/Bain/Deloitte顶级咨询方法论 + 华为/阿里/腾讯/字节实战体系。覆盖14阶段、100+分析框架、50+交付物、8种BA角色谱系。■ 14阶段：战略与行业分析→市场与客户洞察→竞争情报→财务分析与建模→商业模式设计→利益相关者管理→需求引出与发现→需求分析与规范→解决方案评估→商业论证与投资决策→业务流程分析与再造→数据分析与商业智能→风险分析与决策科学→实施落地与变革管理 ■ 全球BA标准：IIBA BABOK V3(6大知识领域) | PMI-PBA(5大过程域) | BCS | Agile BA | 华为BLM | 阿里商业分析 | 腾讯用户研究 | 字节A/B和数据驱动 ■ 顶级咨询方法论：McKinsey MECE+金字塔原理 | BCG矩阵 | Bain结果交付 | Porter五力+价值链 | Christensen颠覆创新 | Kaplan平衡计分卡 | Blue Ocean Strategy | Lean Canvas | Design Thinking | Jobs-to-Be-Done ■ 100+分析框架：PESTLE/PORTER/SWOT/TOWS | VRIO/能力树 | TAM-SAM-SOM | BCG/GE-McKinsey/Ansoff | DCF/NPV/IRR/Break-Even | BMC/精益画布 | RACI/权力-利益矩阵 | 鱼骨图/5Whys/FMEA | 决策树/AHP | BPMN/价值流图/SIPOC | ADKAR/Kotter 8步 ■ 8种BA角色：战略BA | 业务BA | 技术BA | 数据BA | 流程BA | 数字转型BA | 产品BA | 企业BA ■ 触发词：商业分析、BA、商业论证、BRD、战略分析、市场分析、竞品分析、财务分析、商业模式、利益相关者、需求分析、商业计划书、行业分析、SWOT、PESTLE、MECE、BCG矩阵、波特五力、ROI、NPV、DCF、business analysis、BABOK、business case、strategic analysis、competitive analysis、financial analysis
【商业分析超级工作台 / Business Analysis Super Workbench】—— 全球顶尖商业分析全栈智能工作台。深度融合IIBA BABOK V3 + PMI-PBA + McKinsey/BCG/Bain/Deloitte顶级咨询方法论 +…
As a process D 45/100 · 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.
- Shorten the description to 1024 characters.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 15. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1046 chars, limit 1024 - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 13055 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "contact" - note
frontmatter-keyunknown frontmatter key "language"
Process rating: all ten parameters 45/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 40Execution cost. Instruction body is 13055 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 126 steps
- 100Consistency. Name and required fields are in place
- low 24 top-level sections: this looks like several domains in one skill
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)
- +3Description length 1046: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -222 emoji in the instructions: noise for the model
- +2Single-language instructions
- +4Structure: 93 headings
- +3Step-by-step instructions: 126 items
- +4Has examples (63 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 31.