SKILLEMALL.ai

AC trade-inspection

外贸出口检测与单证合规助手。当用户提到以下场景时触发:出口检测报告解读、检测标准对照(CE/FDA/REACH/UL等)、商业发票/装箱单/提单审核、HS编码归类与核查、产品合规性审查(认证要求/禁限运)、产地证信息预审、验货报告生成、供应商审核评分、外贸单证生成(发票/箱单/证明函)、出口合规自查、验货、检测、合规、单证、外贸、出口、报关相关需求。

ClawHub Agent Skills author: Lzh1998-ui v1.0.0 MIT-0 10 files body ≈ 732 tokens Open the sourceclawhub.ai analyzed 3 d ago

外贸出口检测与单证合规助手。当用户提到以下场景时触发:出口检测报告解读、检测标准对照(CE/FDA/REACH/UL等)、商业发票/装箱单/提单审核、HS编码归类与核查、产品合规性审查(认证要求/禁限运)、产地证信息预审、验货报告生成、供应商审核评分、外贸单证生成(发票/箱单/证明函)、出口合规自查、验货、检测、合规…

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

ProcedureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
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: 10. 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. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 732 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 176: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a coherent trade-document and export-compliance assistant, with the main caution that one HS-code helper may send the search term to an external placeholder API.
LLM: benign (high) · VirusTotal: · 4 Aug 2026