AD gts-operator
GTS 多租户配置平台（表单+审批流）的 AI 原生操作员 skill。让 AI Agent 以纯对话方式完成系统的全部管理操作——注册租户/管理员、维护组织架构与人员、配置表单与工作流（含字段类型/条件分支/审批人规则/子表明细）、发起业务单据、执行审批（同意/驳回/转办/加急）、查询与导出，以及表单复用与模板共享（同租户复制、导出/导入模板包、发布到模板市场、浏览与一键安装、下架）。本 skill 采用「动态发现」模式：Agent 先调用系统自带的 /discovery/routes 与 /discovery/contract 拉取最新 API 契约，再按契约执行操作，因此后端演进时 skill 无需手改。用户只需自然语言下达指令（"帮新客户 XX 公司开通租户并搭一个采购审批流程"、"把差旅报销发布成模板"）。用于 "用对话完成 XX 配置/审批" "AI 帮我搭表单" "开通租户" "分享/装模板" 等诉求。
GTS 多租户配置平台（表单+审批流）的 AI 原生操作员 skill。让 AI Agent…
As a process D 43/100 · Unfinished process — 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.
- 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: 3. 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 43/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 108 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3175 tokens
- low The response is described with custom markup (12 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 414: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 108 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.