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tax-fraud-detection税务欺诈检测

Agent Skill

tax-fraud-detection 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

250

周安装

10

GitHub Stars

4

下载量

81
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tax-fraud-detection(税务欺诈检测)
来源仓库:https://github.com/cleanexpo/ato
仓库路径:skills/tax-fraud-detection
安装命令:
npx skills add https://github.com/cleanexpo/ato --skill tax-fraud-detection
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/cleanexpo/ato --skill tax-fraud-detection

简介

Tax Fraud Detection 欺诈识别模块,利用模式识别发现可疑申报行为。

  • 适用于税务局端风险筛查或企业内部审计辅助工具。
  • 基于 cleanexpo/ato 架构开发,可能采用机器学习算法实现。
  • 存在误判可能,最终结论需经人工复核确认。
  • tax-fraud-detection 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Tax Fraud Detection Skill

Proactive detection and prevention capability ensuring no recommendation produced by the Australian Tax Optimizer platform constitutes illegal tax avoidance or would trigger Part IVA anti-avoidance provisions.

When to Use

Activate this skill when:

  • Reviewing tax recommendations for legal defensibility
  • Analysing transaction patterns for circular or artificial arrangements
  • Assessing R&D claims for legitimacy (not routine activities disguised as R&D)
  • Evaluating Division 7A arrangements for sham characteristics
  • Checking loss carry-forward for artificial loss generation
  • Assessing trust distribution arrangements under Section 100A
  • Any recommendation involves > $50,000 in claimed benefits

Part IVA Anti-Avoidance Framework

Overview (ITAA 1936, Part IVA)

Part IVA is the general anti-avoidance provision. The Commissioner can cancel a tax benefit if:

  1. A scheme exists (s 177A) - Very broadly defined; almost any arrangement qualifies
  2. A tax benefit was obtained (s 177C/CB) - Amount not included in assessable income, or deduction claimed
  3. Dominant purpose was tax benefit (s 177D) - Assessed objectively, considering 8 factors

The 8 Factors (s 177D(2))

FactorDescriptionRed Flag
(a)Manner of schemeUnusual or contrived steps
(b)Form and substanceForm doesn't match economic substance
(c)Time of entryArrangement timed around FY boundaries
(d)Result achievedResult only makes sense if tax benefit obtained
(e)Change in financial positionParties' positions unchanged except for tax
(f)Change in financial position (others)Related parties benefit disproportionately
(g)Tax consequencesScheme designed to exploit specific provisions
(h)Connection between partiesRelated party involvement

Red Flags

R&D Tax Incentive Fraud Indicators

IndicatorRisk LevelAction
Routine software development claimed as R&DHIGHVerify technical uncertainty existed
IT operations/maintenance claimed as R&DHIGHVerify systematic investigation occurred
Cloud hosting/infrastructure claimed as R&DMEDIUMVerify experimental purpose
Consulting fees claimed as R&DMEDIUMVerify consultant performed R&D activities
No technical uncertainty documentedCRITICALCannot claim - Division 355 requires uncertainty
Activities completed before registrationHIGHMay indicate retrospective claim

Division 7A Fraud Indicators

IndicatorRisk LevelAction
Circular loan arrangementsCRITICALLoan → dividend → repayment → new loan
Loans at zero interestHIGHDeemed dividend unless compliant agreement
No written agreementHIGHMust exist before lodgment date
Loans to associates/related trustsMEDIUMCheck UPE and sub-trust arrangements
Artificially low repaymentsMEDIUMBelow minimum yearly repayment
Backdated loan agreementsCRITICALFraud indicator

Deduction Fraud Indicators

IndicatorRisk LevelAction
Private expenses claimed as businessCRITICALNo nexus to income production
Capital expenditure claimed as revenueHIGHMust be capitalised and depreciated
Duplicate deductions across entitiesCRITICALSame expense claimed by multiple entities
Inflated amounts vs market valueHIGHTransfer pricing / Part IVA risk
Related party payments above marketHIGHNon-arm's length dealing

Loss Carry-Forward Fraud Indicators

IndicatorRisk LevelAction
Artificial losses via uncommercial dealsCRITICALPart IVA cancellation of loss
Loss trafficking (company acquisition for losses)CRITICALCOT/SBT specifically prevents this
Circular transactions generating lossesCRITICALSham arrangement
Losses from non-commercial activitiesHIGHDivision 35 restrictions apply
Losses from tax shelter arrangementsHIGHDivision 245 debt forgiveness rules

Process

Step 1: Scan

Examine the recommendation or transaction pattern:

  • Extract all claimed tax benefits (amounts, provisions)
  • Identify parties involved (related? associated? independent?)
  • Map the arrangement steps chronologically
  • Note any unusual timing or structure

Step 2: Classify

Categorise the arrangement:

CategoryDescriptionRisk
Ordinary commercialNormal business transactionLOW
Tax-effectiveStructured for tax efficiency, genuine commercial purposeLOW-MEDIUM
AggressiveTax benefit is significant motivation, some commercial substanceMEDIUM-HIGH
ArtificialNo genuine commercial purpose, designed for tax benefitHIGH-CRITICAL
ShamParties never intended to give effect to arrangementCRITICAL

Step 3: Assess

Apply the Part IVA eight-factor test:

  • Score each factor 0-10 (0 = no concern, 10 = maximum concern)
  • Overall score: Sum / 80 × 100 = percentage risk
  • Threshold: > 40% = flag for professional review
  • Threshold: > 70% = do not recommend

Step 4: Report

Generate findings:

  • Specific risk identified
  • Part IVA factor(s) triggered
  • Recommended action (proceed / modify / abandon)
  • Legislative basis for concern
  • Professional review requirement

Output Template

<fraud_assessment>
  <arrangement>Description of arrangement being assessed</arrangement>
  <date>YYYY-MM-DD</date>

  <part_iva_analysis>
    <scheme_exists>true|false</scheme_exists>
    <tax_benefit_amount>$X</tax_benefit_amount>

    <factors>
      <factor id="a" name="Manner of scheme" score="0-10">
        <assessment>Analysis</assessment>
      </factor>
      <!-- Factors b through h -->
    </factors>

    <overall_score>Percentage</overall_score>
    <risk_level>low|medium|high|critical</risk_level>
  </part_iva_analysis>

  <red_flags>
    <flag severity="critical|high|medium|low">
      <description>Specific concern</description>
      <legislation>Relevant provision</legislation>
    </flag>
  </red_flags>

  <recommendation>
    <action>proceed|modify|abandon</action>
    <conditions>What must be true to proceed safely</conditions>
    <professional_review_required>true|false</professional_review_required>
  </recommendation>
</fraud_assessment>

Key Case Law

CasePrincipleApplication
FCT v Spotless Services (1996) 186 CLR 404Dominant purpose test is objectiveDon't rely on stated commercial reasons
FCT v Hart [2004] HCA 26Part IVA applies to individual stepsEach step of arrangement assessed
FCT v Futuris Corporation [2008] HCA 32Commissioner's discretion is broadPart IVA applies broadly
Harding v FCT [2019] FCAFC 29Interposed entity arrangementsApplicable to trust/company structures

Compliance Standards

  1. Never recommend arrangements primarily motivated by tax benefit - Commercial substance required
  2. Always flag related party transactions - Non-arm's length risk
  3. Verify R&D activities are genuine - Not routine operations relabelled
  4. Ensure losses are commercially generated - Not artificial or circular
  5. Document commercial purpose - For every recommendation, state the non-tax reason
  6. Conservative approach - When in doubt, recommend professional review

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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28.33%
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22.13%
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17.62%
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OpenCode

12.39%
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6.88%
按下载量换算6

Antigravity

3.37%
按下载量换算3

安全审计

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通过

Socket

通过

Snyk

通过

权限和风险

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安装前确认

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