BF smyx-child-happy-moment-capture-analysis
Using fixed cameras at home, kindergartens, or playgrounds, the system analyzes children's behavior and expressions in real time to identify happy moments: big laughter (mouth corners sharply raised, eyes squinted into crescents, teeth showing), jumping (both feet off the ground), clapping (rhythmic hand clapping), and joyful reactions to praise or rewards. | 通过家庭、幼儿园或游乐场的固定摄像头，实时分析儿童的行为和表情，识别开心瞬间：大笑（面部表情：嘴角大幅度上翘、眼睛眯成月牙、露出牙齿）、蹦跳（双脚离地跳跃）、拍手（双手有节奏地拍击）、以及接收到表扬或奖励时的愉悦反应。当检测到开心事件时，自动抓拍高清图片或短视频（前后2秒），生成'开心日记'推送至家长手机APP，并播放鼓励音效（如'你真棒！
Using fixed cameras at home, kindergartens, or playgrounds, the system analyzes children's behavior and expressions in real time to identify happy moments…
As a process F 32/100 · Will not run — weak spots: steps, result and completion, when it triggers
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: 30. 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 32/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1953 tokens
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
- -263 emoji in the instructions: noise for the model
- -32 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 533: 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: 69.