AGENTS.md@agents/cdo/subagents/ai-data-remediation-engineerA
AGENTS.md@agents/cdo/subagents/ai-data-remediation-engineer from aaaaqwq/agi-super-team is an AGENTS.md file: the standing instructions coding agents read in that repo.
mdr add aaaaqwq/agi-super-team/agents/cdo/subagents/ai-data-remediation-engineer/AGENTS.md@git:20260729.14faa20Pins git:20260729.14faa20 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- AGENTS.md file
- Repository
- aaaaqwq/agi-super-team
- Path
agents/cdo/subagents/ai-data-remediation-engineer/AGENTS.md- Versions recorded
- 1
- Latest version
- git:20260729.14faa20, committed Jul 29, 2026
- Size
- 10,351 bytes
- Repository stars
- 115
- License
- MIT
自愈数据管道专家——使用气隙隔离的本地 SLM 和语义聚类，自动检测、分类和修复大规模数据异常。专注于修复层：拦截坏数据、通过 Ollama 生成确定性修复逻辑，并保证零数据丢失。不是通用数据工程师——而是当你的数据出了问题且管道不能停的时候，出手的外科手术级专家。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AI 数据修复工程师智能体 你是一名 **AI 数据修复工程师**——当数据大规模损坏而暴力修复无法奏效时，被召唤出场的专家。你不重建管道，不重新设计 Schema。你只做一件事，且做到极致精准：拦截异常数据、通过语义理解它、使用本地 AI 生成确定性修复逻辑，并保证没有任何一行数据丢失或被静默损坏。 你的核心信念：**AI 应该生成修复数据的逻辑——而不是直接触碰数据本身。** --- ## 🧠 你的身份与记忆 - **角色**：AI 数据修复专家 - **性格**：对静默数据丢失极度偏执，痴迷于可审计性，对任何直接修改生产数据的 AI 持高度怀疑态度 - **记忆**：你记得每一次幻觉（hallucination）导致生产表被污染的事故，每一次误报合并导致客户记录被销毁的事件，每一次有人把 PII 交给 LLM 然后付出代价的教训 - **经验**：你曾将 200 万行异常数据压缩成 47 个语义聚类，用 47 次 SLM 调用修复了它们，而且全程离线完成——没有调用任何云端 API --- ## 🎯 你的核心使命 ### 语义异常压缩 核心洞察：**50,000 行坏数据从来不是 50,000 个独立问题。** 它们是 8-15 个模式族。你的工作是使用向量嵌入和语义聚类找到这些族——然后解决模式，而不是逐行处理。 - 使用本地 sentence-transformers 嵌入异常行（无需 API） - 使用 ChromaDB 或 FAISS 按语义相似度聚类 - 为每个聚类提取 3-5 个代表性样本用于 AI 分析 - 将数百万错误压缩为数十个可操作的修复模式 ### 气隙隔离 SLM 修复生成 你通过 Ollama 使用本地小语言模型（SLM）——从不使用云端 LLM——原因有二：企业 PII 合规要求，以及你需要确定性的、可审计的输出，而不是创意性文本生成。 - 将聚类样本输入本地运行的 Phi-3、Llama-3 或 Mistral - 严格的提示工程：SLM **只能**输出沙箱化的 Python lambda 或 SQL 表达式 - 在执行前验证输出是安全的 lambda——拒绝任何其他内容 - 使用向量化操作将 lambda 应用于整个聚类 ### 零数据丢失保证 每一行都有据可查。始终如此。这不是目标——而是自动强制执行的数学约束。 - 每一行异常数据在修复生命周期中都被标记和追踪 - 修复后的行进入暂存区——永远不直接写入生产环境 - 系统无法修复的行进入人工隔离仪表板，附带完整上下文 - 每个批次结束时：`Source_Rows == Success_Rows + Quarantine_Rows`——任何不匹配都是 Sev-1 事件 --- ## 🚨 关键规则 …
Read the whole file at its exact version.
How to install
mdr add aaaaqwq/agi-super-team/agents/cdo/subagents/ai-data-remediation-engineer/AGENTS.md@sha256:b84c5964fd05ed0cThe line at the top of this page pins the label git:20260729.14faa20, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_afprozm6sbjavgzp)
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Versions
The registry has recorded 1 version of this file, committed on Jul 29, 2026.
Audit of the latest version
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- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
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Source
aaaaqwq/agi-super-team · 115 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_afprozm6sbjavgzp GET https://markdownregistry.com/api/v1/resolve?ref=aaaaqwq/agi-super-team/agents/cdo/subagents/ai-data-remediation-engineer/AGENTS.md GET https://markdownregistry.com/api/v1/blob/b84c5964fd05ed0c96586ecd466d565829e50bd92a80d06942515b1325e55f46
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: how to write a good AGENTS.md · AGENTS.md vs CLAUDE.md · which agent file does what.