aios-commercial-contract

aios-commercial-contract is a skill for Claude Code, Codex from ArchSightLabs/archsight-aios. It costs 54 tokens per session (1,524 once invoked), scanned A, original, Apache-2.0.

A workflow for organizing evidence from construction contracts and related project documents. It extracts deadlines, payment terms, responsibilities, missing records, and risks that need human review.

In plain words
What is it for?
Use it with construction, purchasing, subcontracting, rental, and amendment agreements. It helps review payments, schedules, quality, acceptance, breaches, disputes, and missing documentation, but it does not issue legal or settlement conclusions.
Why use it?
It turns long contracts and scattered project records into traceable management information. This makes it easier to check what must happen, who is responsible, and what proof is available.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the archsight-aios plugin — 33 skills shipped together

Good fit Use it with construction, purchasing, subcontracting, rental, and amendment agreements. It helps review payments, schedules, quality, acceptance, breaches, disputes, and missing documentation, but it does not issue legal or settlement conclusions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/archsightlabs/archsight-aios/aios-commercial-contract
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 ArchSightLabs/archsight-aios --skill aios-commercial-contract
Clone the repo
git clone --depth 1 https://github.com/ArchSightLabs/archsight-aios

Made for: Claude Code, Codex.

Or install archsight-aios, the plugin that ships this one along with the rest of its 33 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 aios-commercial-contract

README.md
[![agentmods](https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-commercial-contract/github.svg)](https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-commercial-contract)
Your own site
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-commercial-contract"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-commercial-contract/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 aios-commercial-contract

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-commercial-contract"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-commercial-contract.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,524 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 $0.00054 $0.01524
Opus 5 $0.00027 $0.00762
Sonnet 5 $0.00011 $0.00305
Haiku 4.5 $0.00005 $0.00152

Measured 11d ago against content hash 9ed97b7d3b9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

aios-commercial-contract 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 11d 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.

skills/aios-commercial-contract/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIOS Contract

目标

以 Argus(风险审查官)的方式审查工程合同资料,把合同文本转化为可追踪的履约节点、付款条件、责任边界和证据缺口。

本 Skill 不输出最终法律意见、违约责任归属或商务结算结论;它只做工程管理证据链整理和风险提示,并把需法务、商务、项目经理或业主确认的事项显式标出。

AIOS 适用性

本 Skill 仅用于建筑工程项目中的合同履约管理、采购/分包资料整理、补充协议复核和现场执行交接。

  • 工程项目合同、采购合同、分包合同、租赁协议、补充协议和履约台账,启用 AIOS 行业增强。
  • 普通非建筑合同、通用法务审查或 HR / 行政合同,不使用本 Skill。
  • 任务只需要普通文本摘要时,优先使用宿主工具的通用能力,不强行引入工程证据链。

输入

优先收集:

  • 合同、补充协议、招标/报价文件、会议纪要和往来函件。
  • 资料来源清单:文件名、版本、日期、页码、章节、行号或可定位段落。
  • 项目类型、合同类型、地区、标段、承包范围和关键里程碑。
  • 用户指定的重点问题,例如付款、工期、质量、验收、违约、争议解决或资料缺失。

基础版模式

用于工程业务资料处理、项目复核辅助、部门工作流整理或模板沉淀时,按本节收口。可复制的基础提示词见 prompts/basic-prompt.md

最小可用输入:

  • 脱敏后的工程合同、分包合同、采购合同、租赁合同、补充协议或合同摘要。
  • 文件名、版本、日期、章节 / 页码 / 条款标题。
  • 用户要复核的问题,例如履约节点、付款条件、空白字段、责任边界或资料缺口。
  • 人工复核岗位,例如法务、商务、项目经理、造价、财务或合同经办。

基础输出优先级:

  1. 先输出合同基本信息和空白字段优先核对表。
  2. 把合同转成关键履约节点、付款和结算条件、责任和违约风险提示。
  3. 所有金额、期限、责任方、验收、付款、违约条款必须带原文依据位置或原文关键词。
  4. 输出只作为履约管理辅助,不构成法律意见、违约定性、索赔或结算结论。

标准详版报告与输出自检

短指令触发本 Skill 时,默认输出标准详版报告,不要压缩成摘要。标准详版报告必须包含:资料来源清单、主分析表 / 清单 / 台账、资料缺口、人工复核岗位、AI 不应下结论事项、输出自检。

最小详度要求:

  • 资料足够时,履约节点表、付款与结算条件或责任边界风险提示至少展开 3 条可定位事项;资料不足时,列出全部可定位事项并说明不足原因。
  • 主分析表必须保留“节点 / 条款或事项 / 证据 / 缺口 / 处理建议 / 人工复核岗位”等字段,不得只写概括段落。
  • 输出自检必须逐项确认是否包含资料来源、主分析表 / 清单 / 台账、资料缺口、人工复核岗位、AI 不应下结论事项;缺一项时先补齐再结束。

Capability 与证据

  • 所有抽取结论必须带 证据,至少包括来源文件、页码/章节/行号或原文短摘。
  • 涉及法律、地方制度、招采规则、工程规范或合同示范文本适用性时,优先调用或要求 knowledge.norm_lookup;没有工具结果时标注 需核验
  • 多 Agent 冲突、工具结果缺失或资料互相矛盾时,按 governance/arbitration-protocol.md 输出中文化的 判断事项 / 证据 / 工具结果 / 处理建议

工作流

  1. 建立资料来源清单:列出输入文件、版本、日期和可引用定位方式。
  2. 识别合同事实:合同类型、双方主体、范围、金额、工期、质量目标、验收方式和争议解决条款。
  3. 抽取履约节点:把触发条件、期限、责任方、交付物和验收材料拆成表格。
  4. 抽取付款和结算条件:区分预付款、进度款、结算、质保金、发票、验收和资料前置条件。
  5. 建立责任边界:列出甲方、乙方、分包、供应商、监理、设计或总包的明确义务。
  6. 标注风险和缺口:只标“建议复核 / 需核验”,不得把缺失资料推断成违约事实。
  7. 对规范、制度或示范文本适用性发起 knowledge.norm_lookup 调用计划;没有工具结果时保留为待核验。
  8. 输出人工复核分流:法务、商务、项目经理、技术负责人或业主代表。

输出格式

默认输出:

  1. 结论
  2. 资料来源清单
  3. 合同基本事实
  4. 履约节点表
  5. 付款与结算条件
  6. 责任边界与风险提示
  7. 待补充资料
  8. 证据仲裁

履约节点条目格式:

节点:
触发条件:
期限:
责任方:
交付物:
证据:
需复核:

证据仲裁条目格式:

判断事项:
证据:
工具结果:
处理建议:可继续 / 需核验 / 转人工复核
人工复核岗位:

Read the full file on GitHub · 118 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 118 lines · 54 tokens per session scan A 9ed97b7d3b9b

Subscribe to this mod's changes

aios-commercial-contract is a skill published in the GitHub repository ArchSightLabs/archsight-aios (15 stars, last pushed 15d ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,524 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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