SKILLEMALL.ai
GitHub ↗ RU Sign in

AC wechat-miniprogram-helper

This skill should be used when a user wants to build, develop, debug, or publish a WeChat Mini Program (微信小程序), from scaffolding a project to submitting it for review and release. It covers the dual-thread architecture, the four-file page structure (wxml/wxss/js/json), rpx units, setData, Canvas 2D, common errors (invalid app.json disableScroll, "ctx is not defined", jank/卡顿), AppID vs test accounts, experience-member permissions, and the upload/review/release workflow. Trigger phrases include "微信小程序", "做个小程序", "小程序上线", "小程序报错", "小程序发布", "小程序体验权限".

ClawHub Agent Skills author: haohao642 v0.1.1 MIT-0 6 files body ≈ 861 tokens Open the sourceclawhub.ai↗ analyzed 8 h ago

This skill should be used when a user wants to build, develop, debug, or publish a WeChat Mini Program (微信小程序), from scaffolding a project to submitting it…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 51/100

    • 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. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (wechat-miniprogram-helper) differs from the folder (wb-skill-wechat-miniprogram-helper-skill)
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 26 steps
    • 100Execution cost. Instruction body is 861 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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 554: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This skill is a coherent WeChat Mini Program helper that writes a small scaffold project only when invoked for that purpose.
    LLM: benign (high) · VirusTotal: · 14 Sept 2026