AC mnt-nutrition-care-plan
Use this skill when a Registered Dietitian (RD/RDN), dietetic intern, or nutrition support team member needs to draft a Medical Nutrition Therapy (MNT) documentation note using the Nutrition Care Process (NCP) ADIME format. Covers nutrition assessment using the ABCDE framework, PES-statement diagnosis construction using IDNT terminology, individualized MNT intervention goals, and monitoring and evaluation parameters aligned to AND Evidence Analysis Library and CMS MNT benefit requirements. Produces a DRAFT ADIME note for licensed RD sign-off before entry into the medical record or submission to a payer.
Use this skill when a Registered Dietitian (RD/RDN), dietetic intern, or nutrition support team member needs to draft a Medical Nutrition Therapy (MNT)…
As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
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: 4. 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 57/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 70 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2508 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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 610: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 70 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.