CD migu-trip-agent
咪咕旅游智能规划助手。当用户说"去XX旅游"、"制定行程"、"规划旅游"、"景点推荐"、"自由行攻略"、"几天行程怎么安排"时自动调用。支持行程定制、行程调整、酒店景点美食推荐、简约行程、详细行程、路书生成等场景。运行时会通过用户本人在本地配置的登录凭证，访问第三方服务 gulangyu.migudm.cn 的 WebSocket/HTTPS 接口获取行程数据；脚本始终校验 TLS 证书，不会向用户索取或在输出/日志中回显 Token。
咪咕旅游智能规划助手。当用户说"去XX旅游"、"制定行程"、"规划旅游"、"景点推荐"、"自由行攻略"、"几天行程怎么安排"时自动调用。支持行程定制、行程调整、酒店景点美食推荐、简约行程、详细行程、路书生成等场景。运行时会通过用户本人在本地配置的登录凭证，访问第三方服务 gulangyu.migudm.cn 的…
As a process D 38/100 · Unfinished process — References files that are not bundled: 图片URL
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 11. 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") - warning
missing-refreference to a missing file: 图片URL - note
frontmatter-keyunknown frontmatter key "display_name"
Process rating: all ten parameters 38/100
- 0Tools and files. 1 referenced file(s) missing: 图片URL
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 6 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 121 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3945 tokens
- low 15 top-level sections: this looks like several domains in one skill
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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 220: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 121 items
- +4Has examples (21 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.