Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add guoliang1114-boop/AriaAI --skill vat-compliance-optimizationgit clone --depth 1 https://github.com/guoliang1114-boop/AriaAIWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/guoliang1114-boop/ariaai/vat-compliance-optimization)<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/vat-compliance-optimization"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/vat-compliance-optimization/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/vat-compliance-optimization"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/vat-compliance-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.02241 |
| Opus 5 | $0.00027 | $0.01120 |
| Sonnet 5 | $0.00011 | $0.00448 |
| Haiku 4.5 | $0.00005 | $0.00224 |
Grade A, and why
vat-compliance-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
增值税合规与优化
When To Use
- 企业需要评估增值税税负率是否合理
- 存在大额留抵税额需要规划退税策略
- 混合销售、兼营行为需要拆分适用税率
- 一般纳税人与小规模纳税人身份选择
- 进项税额抵扣链条断裂或不完整
- 涉及跨境服务的零税率/免税选择
Tools
read— 读取企业财务报表、纳税申报表、发票明细grep— 搜索进销项数据、税率适用情况bash— 计算税负率、留抵税额变动webfetch— 查询最新增值税政策文件
Framework
法律依据
| 法规 | 核心条款 |
|---|---|
| 《增值税暂行条例》 | 第1条 纳税义务人;第2条 税率;第8条 进项抵扣 |
| 《增值税暂行条例实施细则》 | 第5条 混合销售;第6条 兼营行为 |
| 财税〔2016〕36号 | 全面营改增,附录1/2/3应税行为范围 |
| 国家税务总局公告2019年第20号 | 留抵退税制度 |
| 财税〔2018〕33号 | 小规模纳税人标准调整 |
| OECD VAT/GST Guidelines (2022) | International best practices for VAT neutrality |
税率表
| 税率 | 适用范围 |
|---|---|
| 13% | 销售货物、加工修理修配劳务、有形动产租赁 |
| 9% | 交通运输、建筑、基础电信、不动产租赁/销售、农产品 |
| 6% | 金融、现代服务、生活服务、增值电信、无形资产转让 |
| 0% | 出口货物、跨境应税服务(零税率) |
进项税额抵扣规则
- 凭票抵扣:增值税专用发票、海关进口增值税专用缴款书、通行费电子发票
- 计算抵扣:农产品(9%或10%扣除率)、通行费(桥闸5%)
- 不得抵扣:用于简易计税、免税项目、集体福利、个人消费(第10条)
- 不动产分期抵扣:2019年4月1日起一次性抵扣
留抵退税政策
- 增量留抵税额 ≥ 0 且连续6个月(按月)或连续两个季度(按季)
- 退还比例:60%(一般行业)/ 100%(先进制造业等)
- 适用条件:纳税信用等级A/B级,36个月内无骗税记录
常见优化路径
- 纳税人身份优化:评估年销售额与进项结构,选择一般/小规模
- 税率拆分:混合销售拆分为独立业务线,适用低税率
- 进项管理:确保及时取得合规抵扣凭证,避免进项转出
- 留抵退税:符合条件及时申请,释放现金流
- 税收优惠叠加:即征即退、先征后退政策的适用(软件产品、资源综合利用)
Workflow
- 数据采集:获取近12个月增值税申报表、进项/销项明细、发票台账
- 税负分析:计算实际税负率,与行业预警值对比
- 进销项匹配:检查抵扣链条完整性,识别不可抵扣进项
- 政策适用检查:逐项核对企业适用的税收优惠
- 优化方案设计:针对识别出的问题设计2-3套优化方案
- 风险评估:评估每个方案的税务风险和实施难度
Output Format
# 增值税分析报告
## 一、企业基本信息
- 企业名称:
- 纳税人类型:一般纳税人 / 小规模纳税人
- 所属行业:
- 分析期间:
## 二、增值税税负分析
| 指标 | 金额/比率 | 行业参考值 | 偏差 |
|------|----------|-----------|------|
| 销项税额 | | | |
| 进项税额 | | | |
| 应纳税额 | | | |
| 税负率 | | | |
| 留抵税额 | | | |
## 三、进销项合规性诊断
- 进项抵扣合规率:
- 不得抵扣进项占比:
- 发票取得及时性:
- 抵扣链条断裂点:
## 四、优化建议
### 方案一:[方案名称]
- 措施描述:
- 预计节税金额:
- 实施难度:高/中/低
- 风险提示:
### 方案二:[方案名称]
- 措施描述:
- 预计节税金额:
- 实施难度:
- 风险提示:
## 五、实施路线图
| 阶段 | 时间节点 | 责任人 | 关键动作 |
|------|---------|--------|---------|
| | | | |
## 六、风险提示
- 合规风险:
- 政策变动风险:
- 操作风险:
Diagnostic Questions
- 企业年销售额是否接近小规模纳税人标准(500万元)?
- 是否存在大量不可抵扣的进项税额(如用于免税项目)?
- 近12个月留抵税额变动趋势如何?
- 是否涉及混合销售或兼营行为?
- 跨境业务是否已享受零税率或免税?
- 软件产品、资源综合利用等是否有即征即退资格?
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 197 lines · 54 tokens per session scan A c50801cf75b4
vat-compliance-optimization is a skill published in the GitHub repository guoliang1114-boop/AriaAI (37 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 2,241 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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