AB diet-record
Diet recording skill. Log meals via text description or food photo upload, auto-recognize food items and estimate nutrition/calories. Activate when user sends a food photo, describes what they ate, asks to log a meal, or queries calorie/nutrition info. Triggers include "记录饮食", "午饭吃了", "帮我记一下", "这个多少卡", "拍了张照片", "今天吃了什么", "log my meal", "what did I eat today".
As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions
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 66/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 65Failures and branches. 3 branches
- 70When it triggers. States when to use, but not when not to
- 85Steps. 41 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1236 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 361: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.