SKILLEMALL.ai

BD haike-xiaoke

小科 - 海科电子全岗位AI助手。安装后AI将以「小科」身份主动服务,覆盖总经办、采购部、财务部、大客户部、电商部、跟单部、国内销售部、模具注塑部、人力资源部、外贸部、研发部、制造中心、质量中心共13个部门。核心原则:先问再干,主动澄清需求、产出物、受众、风格偏好后再执行;能选的给选项,概念性问题才开放。适用场景:任何日常工作请求("帮我XX"、"写个XX"、"分析下XX"等)。

ClawHub Agent Skills author: beargzhaike v1.0.0 MIT-0 3 files body ≈ 4 015 tokens Open the sourceclawhub.ai analyzed 2 d ago

小科 -…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
47/100
Unfinished process
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: 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 47/100

  • 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
  • 40Consistency. Frontmatter name (haike-xiaoke) differs from the folder (haike-ai-assistant)
  • 70Execution cost. Instruction body is 4015 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 33 steps
  • 100Running it twice. No mutating operations
  • low 16 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
  • -249 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 191: enough signal without eating the budget
  • +4Structure: 59 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (24 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill appears to act as a broad workplace assistant while also retaining employee profiles, memory, screenshots, and shared organizational knowledge in ways users should review carefully.
LLM: suspicious (medium) · VirusTotal: · 9 Jul 2026