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BF workopilot-service-builder

帮助开发者创建和集成喔壳(WorkoPilot)AI 能力到业务系统。涵盖创建 AI 服务、配置数字员工、注册 iframe 技能卡片、生成接入代码、提供集成方案、排查对接问题等完整流程。当用户提到 WorkoPilot 对接、喔壳集成、AI 服务创建、数字员工配置、iframe 嵌入、附件分类、文档处理、API 调用示例、鉴权配置、接口测试、集成故障排查,或需要自动化脚本来创建配置时,都应使用此技能。即使用户只是说"对接喔壳"、"创建 AI 服务"、"嵌入聊天窗口"、"测试接口"这样的简短表述,也要触发此技能提供端到端的指导。

ClawHub Agent Skills author: workopilot v0.1.0 MIT-0 2 files body ≈ 4 840 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

帮助开发者创建和集成喔壳(WorkoPilot)AI 能力到业务系统。涵盖创建 AI 服务、配置数字员工、注册 iframe 技能卡片、生成接入代码、提供集成方案、排查对接问题等完整流程。当用户提到 WorkoPilot 对接、喔壳集成、AI 服务创建、数字员工配置、iframe 嵌入、附件分类、文档处理、API…

As a process F 31/100 · Will not run — References files that are not bundled: scripts/create_ai_service.py, scripts/create_digital_employee.py, scripts/update_digital_employee.py

IntegrationAI 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
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: scripts/create_ai_service.py, scripts/create_digital_employee.py, scripts/update_digital_employee.py
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: 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 missing-ref reference to a missing file: scripts/create_ai_service.py
  • warning missing-ref reference to a missing file: scripts/create_digital_employee.py
  • warning missing-ref reference to a missing file: scripts/update_digital_employee.py
  • warning missing-ref reference to a missing file: scripts/create_attachment_classification.py
  • warning missing-ref reference to a missing file: references/attachment-classification.md
  • warning missing-ref reference to a missing file: scripts/register_iframe_card.py
  • warning missing-ref reference to a missing file: references/billing.md
  • warning missing-ref reference to a missing file: scripts/configure_app_menu.py
  • warning missing-ref reference to a missing file: references/app-menu-iframe.md
  • warning missing-ref reference to a missing file: references/iframe-embed.md
  • warning missing-ref reference to a missing file: references/auth-and-config.md
  • warning missing-ref reference to a missing file: references/ai-service.md
  • warning missing-ref reference to a missing file: references/digital-employee.md
  • warning missing-ref reference to a missing file: references/iframe-skill-card.md
  • warning missing-ref reference to a missing file: references/document-service.md
  • warning missing-ref reference to a missing file: scripts/smoke_test.py

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: scripts/create_ai_service.py, scripts/create_digital_employee.py, scripts/update_digital_employee.py
  • 0Tools and files. 16 referenced file(s) missing: scripts/create_ai_service.py, scripts/create_digital_employee.py, scripts/update_digital_employee.py
  • 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. 10 mutating operations with no state check
  • 70Execution cost. Instruction body is 4840 tokens
  • 100Steps. 227 steps
  • 100Consistency. Name and required fields are in place
  • low 14 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -212 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 267: enough signal without eating the budget
  • +4Structure: 56 headings
  • +3Step-by-step instructions: 227 items
  • +4Has examples (22 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
The skill is mostly a coherent WorkoPilot integration helper, but it tells agents to inspect existing project config files and place API keys there, which creates an under-scoped credential-handling risk.
LLM: suspicious (medium) · VirusTotal: · 5 Jul 2026