AF aquarium-analysis
When a user provides a video URL or file of aquatic pets such as goldfish, koi, betta, shrimp, crab, etc. for analysis, this skill is triggered to perform aquatic pet health diagnosis analysis. Supports uploading local videos or online video URLs, calls server-side API for aquatic pet health examination, analyzes features such as scales, fins, body color, activity level, identifies potential diseases and outputs a pet health report. | 鱼类水族宠物健康诊断分析工具，当用户提供金鱼、锦鲤、斗鱼、虾、蟹等水族宠物的视频 URL 或文件需要分析时，触发本技能进行水族宠物健康诊断分析；支持通过上传本地视频或网络视频 URL，调用服务端 API 进行水族宠物健康检查，分析鳞片、鱼鳍、体色、活跃度等特征，识别潜在疾病并输出宠安卫士健康报告
As a process F 30/100 · Will not run — weak spots: steps, result and completion, when it triggers
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: 30. 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 30/100
- 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
- 25Steps. 1 steps
- 40Consistency. Frontmatter name (aquarium-analysis) differs from the folder (smyx-aquarium-analysis)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Execution cost. Instruction body is 1554 tokens
- 100Running it twice. No mutating operations
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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -254 emoji in the instructions: noise for the model
- -32 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 587: enough signal without eating the budget
- +4Structure: 19 headings
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.