AD tcm-wellness
中医养生健康顾问。当用户描述身体不适、询问养生调理、中医辨证、食疗建议、体质辨识、节气养生、穴位保健、中药科普等问题时触发。触发词：中医、养生、调理、体质、舌苔、脉象、气血、脾胃、肾虚、肝郁、湿气、上火、阳虚、阴虚、食疗、药膳、穴位、艾灸、推拿、经络、节气养生、四季调理、中药科普、方剂、望闻问切、辨证论治。
中医养生健康顾问。当用户描述身体不适、询问养生调理、中医辨证、食疗建议、体质辨识、节气养生、穴位保健、中药科普等问题时触发。触发词：中医、养生、调理、体质、舌苔、脉象、气血、脾胃、肾虚、肝郁、湿气、上火、阳虚、阴虚、食疗、药膳、穴位、艾灸、推拿、经络、节气养生、四季调理、中药科普、方剂、望闻问切、辨证论治。
As a process D 46/100 · Unfinished process — 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.
- 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: 9. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 70 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1824 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (4 tags): a typed call is more reliable
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
- +1No license
- +2Single-language instructions
- +3Description length 154: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.