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Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android, Flutter, React Native). Covers UI (页面, 界面, 表单, dashboard, prototype, 原型); auth (登录, 注册, OAuth, publishable key); databases (NoSQL 文档数据库, MySQL 关系型数据库, PostgreSQL/CloudBase PG, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, security rules); 云函数/cloud functions (serverless, scf_bootstrap); CloudRun (云托管, Dockerfile); 云存储; built-in AI (内置大模型, AI 对话, streaming, 流式输出, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, Token Credits 资源包, 小程序成长计划); third-party/custom model onboarding (第三方大模型接入, 大模型调用, LLM API); AI agent (智能体, AG-UI, LangGraph); ops troubleshooting (巡检, 诊断, 日志); spec workflow (需求文档, 技术方案, requirements, tasks.md). Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends without CloudBase.

ClawHub Agent Skills author: Booker Zhao v1.92.129 MIT-0 80 files body ≈ 4 354 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序…

As a process C 52/100 · Has gaps — References files that are not bundled: references/console-links.md, references/deployment-workflow.md, references/mcp-setup.md

GeneratorPostgreSQLMySQLDockerSoftware developmentAI and agentsInfrastructuretype 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
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
C
52/100
Has gaps
References files that are not bundled: references/console-links.md, references/deployment-workflow.md, references/mcp-setup.md
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/console-links.md
  • warning missing-ref reference to a missing file: references/deployment-workflow.md
  • warning missing-ref reference to a missing file: references/mcp-setup.md
  • warning missing-ref reference to a missing file: references/scenarios.md
  • warning missing-ref reference to a missing file: references/site-onboarding.md
  • warning missing-ref reference to a missing file: references/tooling-fallback.md
  • warning missing-ref reference to a missing file: references/auth-web-cloudbase/SKILL.md
  • warning missing-ref reference to a missing file: references/<skill-id>/SKILL.md
  • warning missing-ref reference to a missing file: references/...
  • warning missing-ref reference to a missing file: references/cloudbase-cli/SKILL.md
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note edit-residue the text marks something as outdated (lines 105): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/console-links.md, references/deployment-workflow.md, references/mcp-setup.md
  • 0Tools and files. 10 referenced file(s) missing: references/console-links.md, references/deployment-workflow.md, references/mcp-setup.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 23 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4354 tokens
  • 100Steps. 64 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress

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
  • +3Description length 979: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 64 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This CloudBase skill is broadly aligned with app development and deployment, but a Python agent deployment reference contains hidden AI-directed execution language and destructive rebuild commands that should be reviewed before installation.
LLM: suspicious (high) · VirusTotal: · 10 Oct 2026