SKILLEMALL.ai

BC company-builder-cn

快速搭建智能体虚拟公司。当用户表达创建公司、组建团队、搭建组织架构、当老板、当企业家、招人、分工、合作、等意图时,自动激活此Skill。 触发场景:用户想要创建公司、开公司、新公司、AI公司、人工智能公司、智能体公司、虚拟公司;组建团队、建团队、新建团队、我的团队; 搭建组织、搭建架构、公司架构;或提及多智能体协作、智能体团队管理等。 此Skill提供完整的公司架构搭建工作流,包括战略目标设定、组织设计、岗位梳理、制度建设、权责配置、文化激励等六大模块, 并自动生成符合OpenClaw规范的文件体系(SOUL.md、AGENTS.md、RULES.md、TOOLS.md等)。 company-builder 的中文版

ClawHub Agent Skills author: hkagi v1.0.0 MIT-0 8 files body ≈ 1 572 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 8. 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 81 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1572 tokens
  • 100Running it twice. No mutating operations

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 312: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 81 items

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

External checks

ClawHub: suspicious
The skill is mostly a real OpenClaw company/team builder, but it also grants broad ongoing assistant, monitoring, configuration, account, and skill-management powers beyond a clearly bounded setup task.
LLM: suspicious (high) · VirusTotal: · 29 May 2026