BC health-assistant-pro
Professional health assistant with medical report analysis, evidence-based supplement recommendations (100+ supplements), machine learning personalization, external API integration, and quality verification. Features include health report storage with trend analysis, ML-powered recommendations, Examine.com and ConsumerLab integration, brand quality testing, timing optimization, interaction checking, blockchain traceability framework, and comprehensive wellness guidance.
As a process C 59/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, execution cost
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 20. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 12500 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 59/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 40Execution cost. Instruction body is 12500 tokens: crowds the task out of the window
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 85Steps. 595 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 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 20 top-level sections: this looks like several domains in one skill
- medium 130 test cases, all positive: not one "should refuse" or "should ask first"
- low No test case covers injection arriving through data
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)
- -2151 emoji in the instructions: noise for the model
- -43 reference files, but SKILL.md never points to them: the model will not open them
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 474: enough signal without eating the budget
- +4Structure: 139 headings
- +3Step-by-step instructions: 595 items
- +3Output format is stated explicitly
- +4Has examples (19 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.