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CB project-onboarding

帮助有经验的开发者快速接手陌生项目，支持前端 Web、后端服务、 客户端（Electron/Tauri）、小程序、移动端等多种项目类型。自动识别项目类型，分阶段输出 项目概览、开发流程、工程规范、类型专项指南等，达到"可以开始安全开发"的状态。 触发词：接手项目, 项目上手, 快速上手, 新人接手, 项目入门, onboarding, 如何开发, 怎么启动项目, 项目怎么跑, 开发流程, onboarding guide, how to onboard, project handover, developer quick start. NOT for: generating long architecture reports, code analysis without dev context, beginner programming tutorials, onboarding for interns.

ClawHub Agent Skills author: zZihan v2.0.0 MIT-0 2 files body ≈ 7 492 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

帮助有经验的开发者快速接手陌生项目，支持前端 Web、后端服务、 客户端（Electron/Tauri）、小程序、移动端等多种项目类型。自动识别项目类型，分阶段输出 项目概览、开发流程、工程规范、类型专项指南等，达到"可以开始安全开发"的状态。 触发词：接手项目, 项目上手, 快速上手, 新人接手, 项目入门…

As a process B 67/100 · Nearly there — weak spots: running it twice

ProcedureDockerSoftware 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
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
B
67/100
Nearly there
Running it twice w 4
30
When it triggers w 12
50
Tools and files w 18
60
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 2. 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 body-long SKILL.md body ≈ 7492 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 67/100

  • 30Running it twice. 7 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 60Steps. 568 steps, 9 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 7492 tokens
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 27 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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 408: enough signal without eating the budget
  • +4Structure: 148 headings
  • +3Step-by-step instructions: 568 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill mostly matches its onboarding purpose, but it tells agents to run shell commands with unsafely inserted project paths and accepts repo URLs without defining a safe fetch workflow.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026