AD acupoint-health-tool
当用户咨询经络穴位、中医按摩养生问题，或需要调用 AI_Health 网站的 MCP 服务（工具：acupoint_consult 穴位咨询、share_create/share_get 分享读写、list_reference_books 列出古籍）时使用本技能。内容涵盖 Streamable HTTP（/mcp）与旧版 SSE（/mcp/sse）两种连接方式、多轮意图澄清流程、基于本机数字指纹自动生成唯一客户端 ID 的"注册"规则。触发词："穴位咨询"、"经络按摩"、"AI_Health MCP"、"调用养生助手"。
当用户咨询经络穴位、中医按摩养生问题，或需要调用 AIHealth 网站的 MCP 服务（工具：acupointconsult 穴位咨询、sharecreate/shareget 分享读写、listreferencebooks 列出古籍）时使用本技能。内容涵盖 Streamable HTTP（/mcp）与旧版…
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: 0. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
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. 2 mutating operations with no state check
- 60Tools and files. Uses tools (web, node) that frontmatter does not declare
- 100Steps. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 963 tokens
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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 263: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.