DC zhang-yidong-macro-analysis
以海通国际首席经济学家张忆东的宏观分析框架为核心，帮助分析A股/港股市场趋势、货币政策走向、资产配置策略。适用于投资决策、资产配置、市场时机判断等场景。2026更新：整合张忆东2025-2026年对港股复苏逻辑（恒生科技指数）、A股科技行情（AI/半导体主线）、以及"中国资产重估"主题的最新观点。关键词：张忆东，宏观分析，A股，港股，货币政策，资产配置，投资策略，中国经济
以海通国际首席经济学家张忆东的宏观分析框架为核心，帮助分析A股/港股市场趋势、货币政策走向、资产配置策略。适用于投资决策、资产配置、市场时机判断等场景。2026更新：整合张忆东2025-2026年对港股复苏逻辑（恒生科技指数）、A股科技行情（AI/半导体主线）、以及"中国资产重估"主题的最新观点。关键词：张忆东，宏观…
As a process C 53/100 · Has gaps — 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
name-missingSKILL.md: frontmatter has no `name` - warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected scalar at node end at line 6, column 149: …26年对港股复苏逻辑（恒生科技指数）、A股科技行情（AI/半导体主线）、以及"中国资产重估"主题的最新观点。关键词：张忆东，宏观分析，A股，港股，货币政策，… ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - note
frontmatter-keyunknown frontmatter key "skill_name" - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "language"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 47 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1956 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 187: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 47 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 41.