AD bii-blackrock-note
把 BII 范式的个股研判简报（A4 横向 · 封面+9 正册+12 增补册 · 左文字栏+右图表栏）整体重定向为「贝莱德智库（BlackRock Investment Institute）风格」，并一条龙产出 pptx + pdf + html 三件套。核心能力：① 全局色板重定向（35 类源色 → 品牌令牌，含 7 槽分类色相保真）；② 结构装饰注入（左侧黑书脊 / 顶部黑色色带 / 品牌黄书签 / 黑色持仓面板 / 黄头摘要框 / 三段式「免责声明｜页码｜文件编号」页脚）；③ 装饰件零净增量约束——保证 22 页版式不被挤爆；④ 七门体检，含「可见文本逐字零改动」比对。Use when 用户要求「把这份个股简报做成贝莱德智库风格」「按贝莱德智库的版式出 pptx/pdf/html」「给 BII 简报换个品牌风格」，或需要把已有 BII HTML 交付成三格式。
把 BII 范式的个股研判简报（A4 横向 · 封面+9 正册+12 增补册 · 左文字栏+右图表栏）整体重定向为「贝莱德智库（BlackRock Investment Institute）风格」，并一条龙产出 pptx + pdf + html 三件套。核心能力：① 全局色板重定向（35 类源色 → 品牌令牌，含…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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
- note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "read_when"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1732 tokens
- low 13 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (3 tags): a typed call is more reliable
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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +3Description length 388: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (8 code blocks)
- +3All 5 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.