AB dental-clinical-note
Write a dental chart note that survives an insurance audit, a recall years later, and a colleague picking up the case cold — the finding, the justification, the consent conversation, and the materials, in the order a reviewer looks for them. Use when asked to write a chart note, document a procedure, improve clinical documentation, or when a claim was denied for insufficient documentation. Produces a structured note with subjective, objective, assessment and plan, the medical necessity justification, consent documented, materials and lot numbers, and the next-visit plan. Documentation support only; the clinical content is the treating clinician's.
Write a dental chart note that survives an insurance audit, a recall years later, and a colleague picking up the case cold — the finding, the justification…
As a process B 70/100 · Nearly there — weak spots: when it triggers, 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: 1. 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 70/100
- 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
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 34 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1300 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)
- +1No license
- +2Single-language instructions
- +3Description length 655: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 34 items
- +3Output format is stated explicitly
- +4Has examples (0 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.