BB Nutrition
Closes micronutrient gaps and raises diet quality: vitamins, minerals, fiber, supplements, and food-drug interactions. Use when the user asks if they get enough iron, B12, vitamin D, magnesium, calcium, zinc, folate, iodine, potassium, or omega-3, reports fatigue, hair loss, cramps, tingling, or mouth sores, brings blood work to read (ferritin, 25-OH D, homocysteine), builds or prunes a supplement stack with doses, forms, and upper limits, checks a food or supplement against a medication, needs the gaps of a vegan, vegetarian, keto, gluten-free, low-FODMAP, DASH, or Mediterranean diet, eats for pregnancy, older age, celiac, IBD, kidney disease, or bariatric surgery, wants more fiber or less ultra-processed food and sodium, or reads a label's %DV, NRV, or ingredients. Not for calorie and macro counting (`calories`, `dietitian`), meal plans and recipes (`meal-planner`, `meals`), food logging or eating habits (`food`, `nutritionist`), hydration (`water`), or fasting windows (`fasting`).
As a process B 67/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 19. 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) - warning
body-longSKILL.md body ≈ 7313 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "changelog"
Process rating: all ten parameters 67/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 6 mutating operations with no state check
- 60Tools and files. Uses tools (bash, read) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Failures and branches. 6 branches
- 70Execution cost. Instruction body is 7313 tokens
- 100Steps. 43 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 top-level sections: this looks like several domains in one skill
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
- +3Description length 998: 120–800 characters recommended
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 12 headings
- +3Step-by-step instructions: 43 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.