SKILLEMALL.ai

CC 跨境法规调研

专为出海企业法务、合规官及涉外律师打造的 AI 跨境法规调研助手。解决境外法规「查不到、看不懂、判不准」的三大痛点。它直连 EUR-Lex、GovInfo、新加坡 Statutes 等海外官方权威数据库,为你精准捞出目标法域的法规原文、提炼立法背景与适用边界。全中文交付研究报告,核心条款中英对照,每个结论均附带官方公报出处链接,可逐条溯源。让出海合规尽调、涉外诉讼查明、跨境比较法研究从此高效且有据可依。 Triggers: 跨境法规、境外法规、外国法律、海外法规调研、欧盟法规、美国法律、GDPR、DMA、SEC规则、CFIUS、跨境合规、cross-border regulation、foreign law

ClawHub Agent Skills author: panting09266-ai v1.0.7 MIT-0 2 files body ≈ 969 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

专为出海企业法务、合规官及涉外律师打造的 AI 跨境法规调研助手。解决境外法规「查不到、看不懂、判不准」的三大痛点。它直连 EUR-Lex、GovInfo、新加坡 Statutes…

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsCustomer supportLegaltype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (跨境法规调研) differs from the folder (cue-cross-border-regulation)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 13 steps
  • 100Execution cost. Instruction body is 969 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
  • +2Single-language instructions
  • +3Description length 307: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This legal-research skill is coherent, but it uses a local API key, sends potentially sensitive legal queries to Cue, and forces service links/payment-referral messaging with limited user control.
LLM: suspicious (high) · 15 Sept 2026