AC alibabacloud-cas-ssl-common-tools
SSL certificate toolkit for Alibaba Cloud CAS. Includes identity configuration, domain verification, certificate download, certificate upload, CSR generation, format conversion, and certificate matching. Activate when user says "verify domain", "download certificate", "upload certificate", "generate CSR", "convert certificate format", "configure identity", "match certificate", "check key cert match", "验证域名", "下载证书", "上传证书", "生成 CSR", "转换证书格式", "配置身份", "检查证书匹配", "是否匹配", "是不是一对".
SSL certificate toolkit for Alibaba Cloud CAS.
As a process C 63/100 · Has gaps — weak spots: when it triggers, inputs and preconditions
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6554 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 63/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Execution cost. Instruction body is 6554 tokens
- 85Steps. 21 steps, 3 vague phrases
- 100Failures and branches. 5 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 14 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (8 tags): a typed call is more reliable
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
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +5Description quotes 11 example trigger phrases
- +3Description length 482: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 21 items
- +3Output format is stated explicitly
- +4Has examples (21 code blocks)
- +4Reference files are cited in the instructions (8 of 8)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.