aios-commercial-tender

aios-commercial-tender is a skill for Claude Code, Codex from ArchSightLabs/archsight-aios. It costs 55 tokens per session (1,542 once invoked), scanned A, original, Apache-2.0.

A workflow for turning construction tender documents into a response matrix, disqualification-risk list, qualification-material checklist, scoring-point checklist, and technical-bid preparation path.

In plain words
What is it for?
Use it with tender documents, scoring rules, qualification requirements, technical standards, clarifications, drawings, contract terms, and company credentials.
Why use it?
It helps teams find required evidence, missing documents, difficult requirements, and items that need human confirmation before submitting a bid.

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 tender documents, scoring rules, qualification requirements, technical standards, clarifications, drawings, contract terms, and company credentials.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/archsightlabs/archsight-aios/aios-commercial-tender
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-tender
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-tender

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-commercial-tender"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-commercial-tender.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,542 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 $0.00055 $0.01542
Opus 5 $0.00028 $0.00771
Sonnet 5 $0.00011 $0.00308
Haiku 4.5 $0.00006 $0.00154

Measured 12d ago against content hash 4e94a433a8d8, 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-tender 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.

skills/aios-commercial-tender/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIOS Tender

目标

以 Mason(工程总工)的方式组织工程招投标资料解析,把招标文件转化为可执行的响应矩阵、废标风险清单、资格资料清单和技术标准备路径。

本 Skill 不替代投标负责人、法务、商务、造价或招标代理复核;不输出中标概率、围标串标判断或最终投标决策。

本 Skill 保留原有工程商务 / 招投标领域入口含义。面向新用户的短名入口为 aios-tender,只做审核时也可使用 aios-tender-audit

AIOS 适用性

本 Skill 仅用于建筑工程、设计咨询、施工总承包、专业分包、材料设备采购和运维改造等工程招投标场景。

  • 招标公告、招标文件、评分办法、技术标准、答疑澄清和投标文件目录,启用 AIOS 行业增强。
  • 普通商业采购、招聘、行政采购或非工程投标,不使用本 Skill。
  • 只需要普通文件摘要时,优先使用宿主工具通用能力。

输入

优先收集:

  • 招标文件、评分办法、资格预审文件、答疑澄清、图纸清单、技术标准和合同条款。
  • 文件版本、发出日期、页码、章节、条款编号和附件编号。
  • 企业已有资料:资质、业绩、人员证书、设备、财务、信用、类似项目案例。
  • 用户关注点:废标项、评分点、技术标目录、资料缺口、响应难点。

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:

  • 脱敏招标文件片段、评分办法、技术标要求,或 AI 标书工具试用后的人工检查问题清单。
  • 文件名、版本、日期、章节 / 页码 / 条款标题。
  • 用户要复核的问题,例如评分点响应、废标风险、资料缺口或技术标目录。
  • 人工复核岗位,例如投标负责人、经营人员、技术负责人、法务或造价。

基础输出优先级:

  1. 先判断输入类型:真实招标文件 / 评分办法、AI 生成技术标后的人工检查问题清单、工具咨询或混合资料。
  2. 若缺少真实招标原文,明确写出“缺少可验证招标依据”,只输出问题回应矩阵和响应矩阵模板,不输出真实读标结论。
  3. 输出 AI 技术标复核问题回应矩阵、评分点响应矩阵、资料缺口和人工复核事项。
  4. 废标、资格条件和评分分值缺证据时标为 需核验,不得补猜。

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,废标 / 否决风险清单、资格条件清单或评分点响应矩阵至少展开 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“事项 / 要求 / 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

  • 每个废标风险、评分点和资格条件必须带原文定位。
  • 涉及法规、地方交易规则、规范标准或政策适用性时,调用或要求 knowledge.norm_lookup;没有工具结果时标注 需核验
  • 评分预测只能基于明确评分办法和已提供资料;缺资料不得脑补。
  • 冲突、澄清版本不一致或关键证据缺失时输出 处理建议:转人工复核

工作流

  1. 建立资料来源清单:列出招标资料、答疑澄清、版本和定位方式。
  2. 抽取项目基本事实:招标范围、工期、质量目标、资质要求、投标截止、保证金和评标办法。
  3. 标出废标/否决项:原文条件、触发风险、所需证明材料和责任人。
  4. 抽取资格条件:资质、业绩、人员、证书、财务、信用、联合体和设备要求。
  5. 建立评分点响应矩阵:评分项、分值、响应材料、企业已有证据、缺口、负责人。
  6. 生成技术标目录建议:只基于招标文件要求和工程类型,不额外扩展无关章节。
  7. 标注澄清和人工复核事项:法务、商务、技术、造价、投标负责人。

输出格式

默认输出:

  1. 结论
  2. 资料来源清单
  3. 项目和资料概览
  4. 废标 / 否决风险清单
  5. 资格条件和证明材料清单
  6. 评分点响应矩阵
  7. 技术标目录建议
  8. 人工复核与澄清问题
  9. 证据仲裁

响应矩阵条目格式:

评分项:
分值:
响应材料:
已有证据:
缺口:
证据:
处理建议:

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

Read the full file on GitHub · 120 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. 12d ago First seen · 120 lines · 55 tokens per session scan A 4e94a433a8d8

Subscribe to this mod's changes

aios-commercial-tender is a skill published in the GitHub repository ArchSightLabs/archsight-aios (15 stars, last pushed 16d ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,542 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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