BC healthy-meal-reminder
健康饮食提醒技能。基于《中国居民膳食指南（2022）》八大准则，每日三餐+下午茶定时推荐，每次3个方案ABC供选择，饭后30分钟自动跟进记录饮食+计算热量。按膳食餐盘结构标注每餐配比，按季节推荐应季低卡食谱，含饮水管理、运动搭配、周末放纵餐、食物多样性追踪和周报打卡。支持减肥/维持/增肌三模式。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 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
- 100Tools and files. No external tools needed
- 100Steps. 48 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1832 tokens
- 100Running it twice. No mutating operations
- low 13 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -232 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 148: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (3 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: clean
This is a transparent meal, hydration, and wellness reminder skill with recurring cron examples, but users should review reminder timing and privacy expectations before using it.
LLM: benign (high) · VirusTotal: · 29 May 2026