AB What If Factory - Ultimate Parallel Universe Generator
When user says "what if", "suppose", "imagine if", "alternate reality", "parallel universe" or wants wild scenarios, generate hilarious multi-format parallel universe content.
As a process B 65/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, consistency
How to improve
For the model run — optional
- 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)
Process rating: all ten parameters 65/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (What If Factory - Ultimate Parallel Universe Generator) differs from the folder (what-if-factory)
- 60Result and completion. Output format stated, no completion criterion
- 60Failures and branches. 2 branches
- 100Tools and files. No external tools needed
- 100Steps. 31 steps
- 100Execution cost. Instruction body is 912 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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 5 example trigger phrases
- +3Description length 175: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 31 items
- +3Output format is stated explicitly
- +4Has examples (0 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.
External checks
ClawHub: clean
This is a creative what-if writing skill with overly broad trigger wording, but it does not show hidden access, persistence, data collection, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026