BD Pangolin SafeYield
Pangolin-SafeYield is a defensive-offensive investment AI agent. It runs a five-dimensional resonance scan (macro, fundamental, technical, capital flow, risk) across stocks and ETFs, then outputs buy/hold/sell advice. The macro framework covers 6 dimensions: US monetary policy & dollar liquidity, China monetary policy, exchange rate & cross-border flows, US-China economic cycle positioning, sector earnings, and real-time geopolitical risk assessment with dedicated US-Iran situation analysis (ceasefire status, Strait of Hormuz, oil price mapping, three-scenario modeling). Built on the Gecheng "Defensive-Offensive Investment System". Keywords: investment analysis, five-dimensional resonance, macro analysis, US Iran ceasefire, Strait of Hormuz, oil crisis, Fed, PBOC, liquidity, economic cycle, PE/PB valuation, Chan Theory MACD, Granville buy points, position allocation, portfolio management, 五面共振, 美伊谈判, 霍尔木兹海峡, 宏观分析, 美联储, 中国人民银行, 防御式进攻.
Pangolin-SafeYield is a defensive-offensive investment AI agent.
As a process D 41/100 · 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 41/100
- 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)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 30 steps
- 100Execution cost. Instruction body is 2465 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)
- +3Description length 947: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -271 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 25 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.