@guoliang1114-boop

Creator · guoliang1114-boop

Last updated · Aug 24, 2026

apa-arrangement

REVIEW · 61Registry indexed

预约定价安排申请:可行性评估、申请流程、定价方法设计,基于OECD MAP指南及中国国家税务总局公告2016年第64号

OpenAgentSkill Trust Score
61/100

Sandbox only

Quality62/100
Audit76/100
Stars37
Verified installs0

Install targets

Codex install prompt

Install the "apa-arrangement" agent skill from https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/apa-arrangement. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 预约定价安排申请:可行性评估、申请流程、定价方法设计,基于OECD MAP指南及中国国家税务总局公告2016年第64号 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"guoliang1114-boop-apa-arrangement","task":"Install apa-arrangement","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add guoliang1114-boop/AriaAI --skill apa-arrangement

Maintenance

fresh

1d since push

Risk

Needs review

The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation.

GitHub quality

37

62/100 Quality · 69/100 Trust

Coverage tags

ResearchResearch agentsautomationagent-skill

Review notes

The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation. · The skill is written entirely in Chinese, which may limit accessibility for non-Chinese-speaking agents, but this is not a defect.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
62

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
61

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
76

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

37 GitHub stars

Repo activity

37 stars, 2 forks

Maintenance

1d since push

License

MIT

Install

npx skills add guoliang1114-boop/AriaAI --skill apa-arrangement

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Thin public metadata

Risk summary

Review before production

  • The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 37 GitHub stars

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

View technical data+

Suited tasks

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Navigate local resources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add guoliang1114-boop/AriaAI --skill apa-arrangement
Policy
review
Human review
yes

Trust and risk

Trust
61/100
Audit
76/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add guoliang1114-boop/AriaAI --skill apa-arrangement

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation.
  • No OpenAgentSkill engagement data yet

Agent safety v2

60/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation.

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use apa-arrangement in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20apa-arrangement%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/guoliang1114-boop-apa-arrangement/install
Install command: npx skills add guoliang1114-boop/AriaAI --skill apa-arrangement
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use apa-arrangement for this task. Review https://www.openagentskill.com/api/skills/guoliang1114-boop-apa-arrangement/install, then install with: npx skills add guoliang1114-boop/AriaAI --skill apa-arrangement

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

61/100

Local desktop

Platforms

Claude Code

Audit report

Needs review · 76/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Local desktop

Prototype with this skill first; keep a fallback candidate ready.

61
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Local desktop

Trust label

Prototype first

Install path

Command ready

Use when

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 62/100 quality profile

review first

  • Low GitHub adoption signal
  • The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Local desktop task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

61
OpenAgentSkill Trust Score

GitHub adoption

CHECK

37 GitHub stars

Stars/forks activity

CHECK

37 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 37 GitHub stars
  • Stars/forks activity: 37 stars, 2 forks; issue activity unavailable in current metadata
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

62
GitHub stars
37
Freshness
1d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal · The SKILL.md does not include a dedicated 'Limitations' section, but risk assessment is embedded in the feasibility evaluation.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: apa-arrangement description: "预约定价安排申请:可行性评估、申请流程、定价方法设计,基于OECD MAP指南及中国国家税务总局公告2016年第64号" ---

# 预约定价安排申请

## When To Use

- 企业关联交易金额重大且定价复杂 - 希望获得税务机关对关联交易定价的事前确认 - 避免转让定价调查风险及双重征税 - 跨国集团希望获得税收确定性 - 历史上曾被转让定价调整或存在争议

## Tools

- 企业关联交易历史数据 - 转让定价同期资料 - 可比公司分析报告 - 集团功能风险分析 - OECD MAP指南及双边税收协定

## Framework

### 一、预约定价安排类型

根据OECD Transfer Pricing Guidelines Chapter IV及中国实践:

1. **单边APA**:仅涉及中国税务机关与纳税人 2. **双边APA**:涉及中国与缔约对方税务机关 3. **多边APA**:涉及三个或以上税务机关

### 二、可行性评估

#### 适用性评估标准

- **关联交易规模**:关联交易金额应足够大,APA成本效益比合理 - **定价复杂性**:关联交易定价方法复杂,存在较大不确定性 - **行业特征**:行业具有特殊性,可比数据有限 - **历史争议**:存在转让定价调整历史或争议 - **税收确定性需求**:企业经营战略需要税收确定性

#### 风险评估

- APA申请可能暴露历史转让定价问题 - APA条款可能限制未来定价灵活性 - 申请过程耗时较长(通常1-3年) - 可能产生额外的合规成本

### 三、中国APA申请程序(国家税务总局公告2016年第64号)

#### 申请阶段

1. **预备会谈**:纳税人向主管税务机关提出APA申请意向 2. **正式申请**:提交APA申请报告,包括: - 企业基本情况 - 关联交易情况 - 拟采用的定价方法及理由 - 可比性分析 - 预期APA条款 3. **审核评估**:税务机关对申请进行审核评估 4. **协商**:双边APA需与缔约对方税务机关协商 5. **签订**:达成一致后签订APA

#### APA期限

- APA适用期限一般为3-5年 - 可申请追溯适用(最长追溯至APA申请年度前3年)

### 四、定价方法设计

根据OECD Guidelines Chapter II及中国实践:

| 方法 | 适用场景 | 复杂度 | |------|----------|--------| | CUP | 存在高度可比独立交易 | 低 | | RPM | 分销/经销活动 | 中 | | Cost Plus | 制造/服务活动 | 中 | | TNMM | 功能简单的实体 | 中 | | PSM | 双方贡献独特价值 | 高 |

#### 关键参数确定

- **利润水平指标**:OI/Revenue、EBIT/Total Costs、Berry Ratio等 - **基准测试区间**:四分位区间(25th-75th percentile) - **调整机制**:年度调整、重大变化触发条款

### 五、国际标准参考

- OECD Transfer Pricing Guidelines Chapter IV:相互协商程序 - OECD BEPS Action 14:更有效地解决争议 - UN Practical Manual on Transfer Pricing:发展中国家实践

## Workflow

1. 评估APA可行性及成本效益 2. 收集关联交易历史数据 3. 进行功能风险分析 4. 选择适当的定价方法 5. 进行可比性分析 6. 准备APA申请报告 7. 与税务机关进行预备会谈 8. 提交正式申请 9. 配合税务机关审核评估 10. 参与双边协商(如适用) 11. 签订APA并执行

## Output Format

``` # 预约定价安排申请方案

## 一、项目概述 ### 1.1 申请背景 ### 1.2 APA类型选择 ### 1.3 预期效益

## 二、可行性评估 ### 2.1 适用性分析 ### 2.2 成本效益分析 ### 2.3 风险评估 ### 2.4 建议结论

## 三、关联交易分析 ### 3.1 关联方及关联关系 ### 3.2 关联交易类型及金额 ### 3.3 功能风险分析 ### 3.4 价值链分析

## 四、定价方法设计 ### 4.1 方法选择及理由 ### 4.2 测试对象确定 ### 4.3 可比公司筛选 ### 4.4 基准测试分析 ### 4.5 利润水平指标确定

## 五、APA条款设计 ### 5.1 适用范围 ### 5.2 适用期间 ### 5.3 关键假设 ### 5.4 调整机制 ### 5.5 违约条款

## 六、申请策略 ### 6.1 时间规划 ### 6.2 沟通策略 ### 6.3 材料清单

## 七、预期效益测算 ```

## Diagnostic Questions

1. 企业关联交易金额及类型? 2. 是否有历史转让定价调整或争议? 3. 涉及哪些国家/地区?是否需要双边APA? 4. 企业对APA适用期间有何期望? 5. 是否有可追溯适用的需求? 6. 集团是否在其他国家已有APA?

## Verification

- 核实关联交易数据的完整性及准确性 - 验证定价方法选择的合理性 - 确认可比公司筛选标准的适当性 - 审核APA条款的可执行性 - 评估申请策略的可行性

## Saving

- 保存路径:`projects/{project-name}/apa-arrangement/` - 文件命名:`apa-proposal-{entity}-{date}.md` - 关联文件:转让定价同期资料、可比公司分析报告、功能风险分析

## Capability Upgrade

### Mode Selection

- **Quick**: 判断 APA 是否值得申请,并列出关键条件。 - **Standard**: 输出 APA 可行性评估、交易范围、资料清单和申请路径。 - **Deep**: 结合历史转让定价文档、可比分析、税局沟通记录和未来交易预测,形成预沟通材料和谈判策略。

### APA Decision Logic

| 判断维度 | 高适用性信号 | 低适用性信号 | |----------|--------------|--------------| | 交易稳定性 | 交易模式稳定、预测可信 | 商业模式频繁变化 | | 金额重要性 | 关联交易金额大、持续多年 | 交易金额小或一次性 | | 争议风险 | 历史被关注、利润波动大 | 风险低且已有充分支持 | | 数据可得性 | 功能风险、可比数据、预测完整 | 资料缺失严重 |

### Quality Gates

- [ ] APA 范围清晰,不把所有关联交易笼统打包。 - [ ] 定价方法和关键假设能被未来年度持续验证。 - [ ] 资料包覆盖历史、当前和预测三类数据。 - [ ] 税局沟通策略区分预沟通、正式申请和谈签阶段。 - [ ] 明确申请成本、时间和不申请的替代方案。

### Deliverable Catalog

| Deliverable | When to use | Minimum content | Format | |-------------|-------------|-----------------|--------| | APA feasibility memo | 判断是否申请 APA | 交易范围、稳定性、风险、资料、成本和建议 | Word / Markdown | | Covered transaction profile | 明确 APA 范围 | 交易类型、金额、关联方、功能风险和定价政策 | Excel / Word | | Pre-filing meeting pack | 税局预沟通 | 申请背景、方法选择、关键假设、问题清单和诉求 | PPT / Word | | APA application checklist | 准备正式申请 | 资料清单、责任人、完成状态、缺口和截止日 | Excel | | Critical assumptions register | 谈签和执行 | 关键假设、监控指标、触发条件和调整机制 | Excel | | Annual compliance report outline | APA 执行年度 | 实际交易、利润水平、偏差、解释和调整 | Word |

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 24, 2026
Published
Aug 24, 2026

Decision snapshot

Fallback candidate

61
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

76
Needs review
Security
81/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for apa-arrangement, ready for a manual X post.

Curator note
A practical pick for a repeatable workflow:

apa-arrangement: 预约定价安排申请:可行性评估、申请流程、定价方法设计,基于OECD MAP指南及中国国家税务总局公告2016年第64号

37 stars

https://www.openagentskill.com/skills/guoliang1114-boop-apa-arrangement?ref=x
Open X draft
Optional reply with install command
Listing + install path for apa-arrangement:
https://www.openagentskill.com/skills/guoliang1114-boop-apa-arrangement?ref=x

Install: npx skills add guoliang1114-boop/AriaAI --skill apa-arrangement

Listing source

Registry indexed

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This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to guoliang1114-boop but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

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Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/guoliang1114-boop-apa-arrangement?metric=listed&label=Listed)](https://www.openagentskill.com/skills/guoliang1114-boop-apa-arrangement)
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Author

G

guoliang1114-boop

@guoliang1114-boop

Platform fit

Health signals

GitHub stars
37
Quality score
34/100
Last GitHub push
Aug 24, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

61
  • GitHub adoption37 GitHub starsCHECK
  • Stars/forks activity37 stars, 2 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance1d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextCHECK
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS