AB alphagbm-vol-smile
2D volatility smile and skew analysis for a single expiration date. Maps IV across strikes to reveal put skew, call skew, and smile shape. Returns smile curve data, skew metrics (25-delta skew, risk reversal), and shape classification. Use when: analyzing put/call skew, checking if puts are expensive, understanding directional fear in options pricing, finding skew trades. Triggers on: "vol smile AAPL", "skew analysis NVDA", "put skew for TSLA", "is the smile steep for SPY", "volatility skew META", "smile shape for GOOGL".
2D volatility smile and skew analysis for a single expiration date.
As a process B 76/100 · Nearly there — weak spots: failures and branches, progress reporting
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "globs"
Process rating: all ten parameters 76/100
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1033 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
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 527: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 9 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.