CD cdu-freshman-guide
为成都大学新生提供选课、走读、住宿、医保、租房、就业等高频问题的一站式问答，熊猫向导，数据来自真实QQ互助群群聊经验（脱敏人工策展），提供办事流程与官方渠道核实。Use when user asks about Chengdu University / 成都大学 topics: 新生指南、选课、走读、宿舍、报到、学费、军训、租房 etc. 回答附来源链接与交叉验证建议。NOT for: 代课代考等灰色服务、其他学校事务。
为成都大学新生提供选课、走读、住宿、医保、租房、就业等高频问题的一站式问答，熊猫向导，数据来自真实QQ互助群群聊经验（脱敏人工策展），提供办事流程与官方渠道核实。Use when user asks about Chengdu University / 成都大学 topics…
As a process D 44/100 · Unfinished process — References files that are not bundled: scripts/build_kb.py
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: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: 为成都大学新生提供选课、走读、住宿、医保、租房、就业等高频问题的一站式问答，熊猫向导，数据来自真实QQ互助群群聊经验（脱敏人工策展）… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
missing-refreference to a missing file: scripts/build_kb.py - note
frontmatter-keyunknown frontmatter key "tools"
Process rating: all ten parameters 44/100
- 0Tools and files. 1 referenced file(s) missing: scripts/build_kb.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1541 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
- +3Output format is not stated: the model decides each time
- -32 of 5 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 212: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (7 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.