CD Pangolin SafeYield
Pangolin-SafeYield 是"防御式进攻"投资决策智能体，融合葛成《防御式进攻投资体系》、个人价值派心法（格雷厄姆/巴菲特/段永平/芒格）与 Serenity 白毛女神瓶颈理论（紫苏叶/瓶颈三步法）。核心能力：出手前检查清单（ETF走五面共振、个股分巴菲特价值派与Serenity成长派两条选股路径）、六阶段五面共振扫描（宏观/基本面/技术面/资金面/风险面）、**全量风险面红线清单**（超级天量、大股东减持、财务造假、被踢出果链/T链/SpaceX链等核心供应链、监管处罚、实控人私德婚变、毛利率极低等全方位排查，命中即一票否决或降级）、ETF波段策略、个股双轨选股研究、复盘迭代机制（追踪成功率→年化20%目标）。当用户准备出手买卖、分析ETF、研究个股、检查"五面共振了么/符合巴菲特选股了么/有没有十倍瓶颈逻辑"、排查个股风险红线、复盘交易成功率时触发。Keywords: 防御式进攻, 五面共振, 巴菲特选股, 紫苏叶, 瓶颈理论, 成长股十倍逻辑, 价值投资, 安全边际, ETF波段, 追高拦截, 烟蒂法, 复盘成功率, 年化20%, 全量风险面, 减持, 财务造假, 供应链出局, 监管处罚, defensive-offensive, five-dimensional resonance, value investing, margin of safety, chokepoint theory, Serenity, risk-red-line.
Pangolin-SafeYield 是"防御式进攻"投资决策智能体，融合葛成《防御式进攻投资体系》、个人价值派心法（格雷厄姆/巴菲特/段永平/芒格）与 Serenity…
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") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "triggers" - note
frontmatter-keyunknown frontmatter key "capabilities"
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 (Pangolin SafeYield) differs from the folder (pangolin-safe-yield)
- 100Tools and files. No external tools needed
- 100Steps. 124 steps
- 100Execution cost. Instruction body is 3492 tokens
- 100Running it twice. No mutating operations
- 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)
- +3Output format is not stated: the model decides each time
- -243 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 639: enough signal without eating the budget
- +4Structure: 51 headings
- +3Step-by-step instructions: 124 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.