AB game-design-player-motivation-audit
Audit a game, feature, live-ops system, progression loop, social feature, or monetization surface using a Self-Determination Theory-inspired motivation framework. Use when evaluating what kind of motivation a design creates, comparing alternative motivational profiles, diagnosing why a system feels sticky, hollow, exhausting, or dead, checking overreliance on rewards and grind, or assessing whether a feature supports short-term activation, medium-term habit, or long-term player identity.
As a process B 65/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, running it twice
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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 65/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 6 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 164 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2918 tokens
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)
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 492: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 164 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.