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 ArchSightLabs/archsight-aios --skill aios-tender-auditgit clone --depth 1 https://github.com/ArchSightLabs/archsight-aiosWrote 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/archsightlabs/archsight-aios/aios-tender-audit)<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-tender-audit"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-tender-audit/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/archsightlabs/archsight-aios/aios-tender-audit"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-tender-audit.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 | $0.00058 | $0.01579 |
| Opus 5 | $0.00029 | $0.00790 |
| Sonnet 5 | $0.00012 | $0.00316 |
| Haiku 4.5 | $0.00006 | $0.00158 |
Grade A, and why
aios-tender-audit 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.
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 Audit
目标
以 Mason(工程总工)的方式组织工程招投标资料审核,把招标文件、评分办法、答疑澄清和技术标要求转化为可执行的响应矩阵、废标风险清单、资格资料清单和人工复核事项。
本 Skill 是审核型能力,不负责生成完整技术标正文。需要生成、改写或复用历史标书素材时,使用 aios-tender-write;生成后必须回到本 Skill 做响应性、废标风险、评分点缺口和人工复核门禁。
aios-commercial-tender 继续保留原有工程商务 / 招投标领域入口含义;面向新用户时,推荐优先使用更短的 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,启用本 Skill。
- AI 生成技术标后的人工检查问题,可用本 Skill 做响应性和风险复核。
- 普通商业采购、招聘、行政采购或非工程投标,不使用本 Skill。
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:
- 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。
- 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。
- 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。
- 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
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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:
- 结论
- 资料来源清单
- 项目和资料概览
- 废标 / 否决风险清单
- 资格条件和证明材料清单
- 评分点响应矩阵
- 技术标目录建议
- 人工复核与澄清问题
- 证据仲裁
响应矩阵条目格式:
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.
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.
- 11d ago First seen · 120 lines · 58 tokens per session scan A 828611599837
aios-tender-audit is a skill published in the GitHub repository ArchSightLabs/archsight-aios (15 stars, last pushed 15d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,579 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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