BF kindergarten-math-course
3-7 岁幼儿识数与加减法体系课程。按 L1 识数1-5、L2 识数6-10、L3 比大小与分解组成、L4 10以内加减、L5 20以内进退位五级体系，生成 A4 可打印数学练习页（含答案页），并支持能力诊断、练习批改与进阶建议。Use when 用户提到 幼儿园/幼儿/小班/中班/大班/幼小衔接/学前 的 数学、识数、认数字、数数、点数、比大小、分解组成、凑十法、加减法、口算、应用题、练习纸、练习题、给孩子出题、数学启蒙、数学练习；or asks for kindergarten math worksheets, counting, number recognition, addition/subtraction within 10 or 20. Also use when 需要判断孩子数学起点、规划学习路径、批改幼儿数学练习或给出家长指导话术。
3-7 岁幼儿识数与加减法体系课程。按 L1 识数1-5、L2 识数6-10、L3 比大小与分解组成、L4 10以内加减、L5 20以内进退位五级体系，生成 A4 可打印数学练习页（含答案页），并支持能力诊断、练习批改与进阶建议。Use when 用户提到 幼儿园/幼儿/小班/中班/大班/幼小衔接/学前 的…
As a process F 35/100 · Will not run — References files that are not bundled: assets/icon.png
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: assets/icon.png - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: assets/icon.png
- 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
- 100Steps. 35 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1411 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)
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- -31 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 379: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.