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antinet-provenance

Record operations across multiple AI agents and connect events into a traceable history. Search records by tracking ID, time window, or responsible component to support audits and investigations, with local storage available when the vector database fails.

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软件开发工程师与信息安全分析师在构建多智能体系统时,当需全链路可观测与安全审计,请用此技能。它自动收集操作日志,生成可追溯证据链与向量索引,开箱即用实现系统审计与精准回放,让Agent运行安全透明。

See how to install

Good for

  • Trace task dispatch and execution across agents
  • Search audit records by time or responsible component
  • Keep recording events during vector database failures
  • Produce trace logs with the offline Python entry point

Files included (3)

  • SKILL.md2.3 KB
  • LICENSE3.0 KB
  • scripts/run_provenance.py2.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Provenance 留痕 Skill(太史阁)

使用方式

  • 由各官署在关键操作节点调用(或通过事件总线异步推送),写入证据链。
  • 提供按 trace_id / 时间窗 / 官署维度的检索接口,支撑审计面板与回滚定位。

输入(Input)

  • event:操作事件,含 actor(官署名)、action、target、timestamp、trace_id
  • payload:(可选)与事件关联的结构化产物引用

输出(Output)

  • evidence_chain:按 trace_id 串联的可追溯证据链
  • vector_index:用于语义检索的向量索引条目
  • query_api:按条件检索历史证据的接口描述

依赖(Dependencies)

  • Qdrant(向量存储,经 MCP 接入)
  • SQLite(结构化事件落地,本地兜底)
  • 各官署的事件上报协议(统一 schema)

失败处理(Failure Handling)

  • 向量库写入失败 → 本地 SQLite 缓存事件,恢复后异步补写,不阻塞主流程。
  • 单条事件 schema 非法 → 记录并丢弃该条,不影响整链写入。
  • 检索超时 → 返回最近一次成功快照并标注 stale。

复用价值(Reuse Value)

  • 可观测性底座:任何多 Agent 系统都能直接挂载,获得开箱即用的审计与回放能力。
  • 契合评审:Agent Infra 赛道「工程落地与运行验证及安全审计(20%)」维度的天然得分点。

复赛代码包执行(runnable package)

  • 真实入口:scripts/run_provenance.py
  • 执行等价于 core.runtime.AgentSession.run_stage("provenance"),调用 memory.taishige.TaiShiGeAgent.writeback(把全链路事件与四色卡片回流证据链,纯 Python 可离线)。
  • 运行:python skills/provenance/scripts/run_provenance.py
  • 产物:examples/snse_survey/provenance/(trace.jsonl + trace_summary.json,含每一条军机处派发与官署执行事件)。

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