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
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
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown 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.