materiality

materiality is a skill for Claude Code from kylin985ti/china-accounting-skills. It costs 64 tokens per session (1,498 once invoked), scanned A, original, MIT.

A procedure for calculating audit materiality, the amount of error that could affect how financial statements are judged. It covers overall materiality, performance materiality, and the clearly trivial threshold.

In plain words
What is it for?
Use it to choose a financial benchmark, apply a percentage, and calculate thresholds for planning and performing an audit.
Why use it?
It helps auditors decide which errors matter and how much checking is appropriate.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the china-accounting plugin — 25 skills shipped together

Good fit Use it to choose a financial benchmark, apply a percentage, and calculate thresholds for planning and performing an audit.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kylin985ti/china-accounting-skills/materiality
Install

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.

Any agent
npx skills add kylin985ti/china-accounting-skills --skill materiality
Clone the repo
git clone --depth 1 https://github.com/kylin985ti/china-accounting-skills

Made for: Claude Code.

Or install china-accounting, the plugin that ships this one along with the rest of its 25 skills.

Wrote 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.

agentmods badge for materiality

README.md
[![agentmods](https://agentmods.dev/badge/skills/kylin985ti/china-accounting-skills/materiality/github.svg)](https://agentmods.dev/skills/kylin985ti/china-accounting-skills/materiality)
Your own site
<a href="https://agentmods.dev/skills/kylin985ti/china-accounting-skills/materiality"><img src="https://agentmods.dev/badge/skills/kylin985ti/china-accounting-skills/materiality/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.

agentmods 80×15 button for materiality

Your own site · 80×15
<a href="https://agentmods.dev/skills/kylin985ti/china-accounting-skills/materiality"><img src="https://agentmods.dev/badge/skills/kylin985ti/china-accounting-skills/materiality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,498 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.01498
Opus 5 $0.00032 $0.00749
Sonnet 5 $0.00013 $0.00300
Haiku 4.5 $0.00006 $0.00150

Measured 12d ago against content hash 365094233b1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

materiality 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.

audit/materiality/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

重要性水平计算

概述

依据 CAS 1221 — 计划和执行审计工作时的重要性。重要性水平是审计中最核心的数字——低于这个金额的错报可以容忍,高于的必须深究。正确计算重要性水平直接影响审计效率和效果。

三个层次的重要性

财务报表整体重要性 (Overall Materiality)
        ↓
    实际执行的重要性 (Performance Materiality) = 50%-75%
        ↓
    明显微小错报临界值 (Clearly Trivial) = 3%-5%

一、财务报表整体重要性

计算步骤

  1. 选择合适的基准(见下表)
  2. 确定适用的百分比
  3. 计算:基准 × 百分比 = 财务报表整体重要性

基准选择指南

被审计单位情况 推荐基准 典型百分比范围
盈利稳定(最常见) 经常性业务税前利润 5% – 10%
微利/微亏/盈亏交替 过去3-5年平均税前利润(取绝对值)/ 营业收入 0.5%–1%(收入)
新设企业、在建期、无收入 总资产 0.5% – 2%
新兴行业、抢占市场份额 营业收入 0.5% – 1%
房地产(利润波动大) 总资产 或 毛利 0.5% – 1%
基金管理 净资产 0.5% – 1%
非营利组织 收入总额或费用总额 1% – 2%
研发中心(成本加成) 成本与营业费用总额 1% – 2%

计算示例

📋 重要性水平计算表
索引号:AB-4
════════════════════════════════════

被审计单位:XX科技有限公司
审计期间:2026年度

一、选择基准
  分析:公司连续3年盈利,净利润稳定在100-200万之间
  
  选择基准:经常性业务税前利润 = 1,500,000
  
  理由:盈利稳定,税前利润最能反映经营成果

二、确定百分比
  选择:7%(取5%-10%中间值)
  考虑因素:
    □ 是否涉及公众利益?否 → 可取较高%
    □ 是否存在特别风险?否
    □ 以前年度是否有重大调整?否
  
三、计算
  财务报表整体重要性 = 1,500,000 × 7% = 105,000

────────────────────────────────────

结论:当错报金额超过 105,000 元时,认为对财务报表有重大影响
════════════════════════════════════

二、实际执行的重要性

实际执行的重要性 = 财务报表整体重要性 × (50% – 75%)

风险水平 比例 适用情况
较高风险 50% 首次审计、以前年度发现较多错报、内部控制薄弱
中等风险 60%-65% 一般中小企业
较低风险 70%-75% 连续审计、以前年度错报少、内控有效

示例(续)

项目风险较高(首次审计,内控薄弱)
→ 实际执行的重要性 = 105,000 × 50% = 52,500

含义:单个科目实质性程序中,超过 52,500 元的项目需要逐一检查

三、明显微小错报临界值

明显微小临界值 = 财务报表整体重要性 × (3% – 5%)

超过这个金额的错报需要累积并在最终汇总评价是否重大。

明显微小临界值 = 105,000 × 5% = 5,250

含义:低于 5,250 元的错报可以不累积(视为明显微小)
     高于 5,250 元的错报必须记录在审计差异汇总表中

三层次重要性一览

📊 重要性水平汇总
═══════════════════════════════════

层次                    金额          用途
────────────────────────────────────
财务报表整体重要性       105,000       判断报表整体是否公允
                                       高于此金额→重大,必须要求管理层更正

实际执行的重要性          52,500       单项实质性程序中的执行标准
                                       高于此金额→逐一检查,低于可抽样

明显微小临界值             5,250       单独错报是否需要累积
                                       高于此金额→必须累积到差异汇总表
═══════════════════════════════════

Read the full file on GitHub · 147 lines

Changes

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.

  1. 12d ago First seen · 147 lines · 64 tokens per session scan A 365094233b1b

Subscribe to this mod's changes

materiality is a skill published in the GitHub repository kylin985ti/china-accounting-skills (56 stars, last pushed 17d ago), licensed MIT. It adds 64 tokens to every session and 1,498 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.

Related

Other skills, from other repositories

expense-review-policy

Review invoices and contracts against accounts-payable policy before human approval.

openai/openai-cookbook · 17 tokens

audit-support

Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.

anthropics/knowledge-work-plugins · 45 tokens

kyc-doc-parse

Parse an investor or client onboarding packet into structured KYC fields — identity, ownership, control, source of funds, and document inventory. Use as the first step of KYC screening; output feeds the rules engine.

anthropics/financial-services · 49 tokens

fiscaliste

Fiscaliste IA pour la fiscalité personnelle des particuliers français : optimisation et déclaration de l'impôt sur le revenu, IFI, revenus du capital, revenus fonciers, equity salarial, crypto-actifs et PER. Couvre le calcul de l'IR (barème, quotient familial, décote, PAS, CEHR, revenus exceptionnels), la déclaration…

romainsimon/paperasse · 302 tokens

regulatory-analysis

Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.

open-gitagent/opengap · 59 tokens

subcontractor-payment-tracker

Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 25 tokens