AB ai-cgo
AI Chief Growth Officer - AI驱动的企业增长操作系统。作为增长决策系统+AI工作流编排器+自动优化引擎运行。 【一级触发词-精确匹配】增长策略、AI增长、怎么用AI赚钱、增长系统、增长工作流、AI营销系统、转化优化、增长飞轮、AI CGO、增长漏斗、增长瓶颈、怎么提升转化、AI业务落地 【二级触发词-上下文判断】增长策略、增长瓶颈、怎么用AI赚钱、AI驱动增长 【排除场景-不触发的场景】纯品牌定位/品牌VI设计→路由到4aos或brand-marketing-plan；纯社交媒体内容/运营/KOL→路由到mktclaw；纯广告创意/媒体投放/Campaign策划→路由到4aos；无需增长策略的纯技术开发咨询
As a process B 77/100 · Nearly there — weak spots: when it triggers, consistency, running it twice
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: 7. 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 77/100
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (ai-cgo) differs from the folder (cgo)
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 88 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Result and completion. Output format and completion criterion are stated
- 100Failures and branches. 4 branches, has a failure section
- 100Execution cost. Instruction body is 3191 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 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)
- +1No license
- +2Single-language instructions
- +3Description length 321: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 88 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.