AF wechat-miniprogram-cloudbase-scaffold
从零快速搭建一个微信小程序（后端用微信云开发/CloudBase）的脚手架与方法论：单函数 REST 路由、幂等建号/幂等建集合、实时统计、订阅消息+定时触发器、全生命周期坑。Scaffold & methodology for building a WeChat Mini Program on WeChat CloudBase: single-function REST routing, idempotent user/collection seeding, real-time stats, subscribe messages + scheduled triggers, full-lifecycle pitfalls. Use when: 做一个云开发小程序 / 从零搭小程序 / 小程序 MVP / building a WeChat Mini Program MVP. Deployment details → wechat-miniprogram-cloudbase-deploy skill.
从零快速搭建一个微信小程序（后端用微信云开发/CloudBase）的脚手架与方法论：单函数 REST 路由、幂等建号/幂等建集合、实时统计、订阅消息+定时触发器、全生命周期坑。Scaffold & methodology for building a WeChat Mini Program on WeChat…
As a process F 33/100 · Will not run — References files that are not bundled: scripts/deploy-cloud.sh, scripts/upload.js
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: 24. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/deploy-cloud.sh - warning
missing-refreference to a missing file: scripts/upload.js - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 33/100
- 0Tools and files. 2 referenced file(s) missing: scripts/deploy-cloud.sh, scripts/upload.js
- 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. 7 mutating operations with no state check
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1197 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
- +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
- +2Single-language instructions
- +3Description length 456: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.