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OpenClaw 小白养成手册。从零开始搭建多 Agent AI 助手系统的完整指南，包含免费起步方案（Qwen 零成本）、进阶方案（MiniMax Coding Plan ¥49/月）、旗舰外援（SiliconFlow/NewCLI 按需调用）。涵盖模型策略、Fallback 链设计、额度管理、常见故障排查。适合首次部署 OpenClaw 或想优化模型成本的用户。当用户说"怎么开始"、"新手指南"、"省钱方案"、"模型怎么选"、"fallback 怎么配"时使用此 skill。

ClawHub Agent Skills author: jooey v1.2.0 3 files body ≈ 1 785 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 40/100 · Will not run — References files that are not bundled: references/troubleshooting.md

ProcedureInfrastructureSoftware developmentAI and agentstype 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
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: references/troubleshooting.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/troubleshooting.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: references/troubleshooting.md
  • 0Tools and files. 1 referenced file(s) missing: references/troubleshooting.md
  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1785 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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
  • -217 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 242: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This is a coherent OpenClaw setup guide, but users should handle provider keys, external API tests, and unpinned installation commands carefully.
LLM: benign (high) · VirusTotal: benign · 10 Sept 2026