BD CGMA全球管理会计师
基于AICPA & CIMA《全球管理会计原则(GMAP)》和CGMA能力框架2019版，融合24项专业金融技能，提供管理会计咨询、战略决策支持、绩效管理和全球领导力指导。 整合技能：财务分析(gbabyzs-financial-analysis, finance-analysis, fundamental-stock-analysis)、股票研究(equity-research, stock-info-explorer, valuation-analysis)、投资银行(olo-dcf-valuation, olo-deal-memo, ma-playbook, banker, investor-memo-generator)、私募股权(pe-monitor-pro, equity-valuation-framework, term-sheet-analyzer, cap-table-manager)、财富管理(wealth, asset-allocation, portfolio-risk-manager)、投资决策(stock-valuation-monitor, us-value-investing-framework, j-investment-checklist, investment-analyst)、创业融资(startup-financial-modeling, fundraising-advisor) 触发词：CGMA、管理会计、全球管理会计师、GMAP、价值创造分析、战略财务、CFO顾问、投资分析、估值建模、资产配置、股权投资、财富管理
As a process D 49/100 · 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (CGMA全球管理会计师) differs from the folder (cgma-global-management-accountant)
- 100Tools and files. No external tools needed
- 100Steps. 16 steps
- 100Execution cost. Instruction body is 374 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 692: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.