SKILLEMALL.ai

BD yiwu-trade

义乌.Skill - 深度蒸馏义乌30年原生外贸实战沉淀,聚焦小商品出海、产业带组货、1039市场采购合规、多式联运物流、全域获客、订单成交、支付结算、财务税务、数据决策

ClawHub Hermes author: WangM-A3 v2.1.1 MIT-0 76 files body ≈ 181 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureLogistics and warehouseCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
95
Quality 40%
52
Run on models
none yet
Process rating
D
49/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-agent-memory-dump agents/product-agent/SOUL.md
    Agent memory / workspace files bundled with the skill (3) — likely a workspace dump with personal data or tokens
    agents/product-agent/SOUL.md, agents/sales-agent/SOUL.md, agents/service-agent/SOUL.md

Files scanned: 60. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 85 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 49/100

  • 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 (yiwu-trade) differs from the folder (yiwu-trade-skill)
  • 100Tools and files. No external tools needed
  • 100Steps. 10 steps
  • 100Execution cost. Instruction body is 181 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)
  • +3Description length 85: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -414 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 10 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.

External checks

ClawHub: suspicious
The skill is not clearly malicious, but it needs review because it combines CRM profiling, bulk WhatsApp outreach, persistent memory, external AI/API use, and automatic improvement workflows without enough user-control and privacy boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026