AC chengdu-highschool-expert
成都升学专家技能，覆盖小升初（小五小六）和初升高（中考）两大阶段。根据用户户籍、学籍、成绩等信息提供深度升学分析和志愿填报建议。适用场景：(1) 成都幼升小/小升初选区规划，(2) 成都初三学生中考志愿填报，(3) 根据一诊/二诊成绩定位目标高中，(4) 解读成都升学政策（公民同招、大小摇号、指标到校、随迁子女、户籍学籍限制等），(5) 设计冲-稳-保志愿填报策略，(6) 初中划片查询与对比。当用户询问成都小升初、中考志愿、初中划片、高中选择等相关问题时使用此技能。
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: 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")
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. 42 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 784 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
- +1No license
- +2Single-language instructions
- +3Description length 235: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (5 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This is a text-only Chengdu school admissions guidance skill with one policy-content inconsistency to verify, but no hidden execution, credential use, or unsafe agent behavior.
LLM: benign (high) · 28 May 2026