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Antinet Provenance

CommunityPopular
anbeime
antinet-provenance

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。

Overview

Publisheranbeime
Repositoryskill
Skill nameantinet-provenance
Stars
6.9K
Forks
645
Bundled files
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Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by anbeime on GitHub. Read the source before you install it.

Installation

Install the Antinet Provenance AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anbeime/skill.git /tmp/skill
mkdir -p .claude/skills
cp -r /tmp/skill/skills/antinet-provenance .claude/skills/antinet-provenance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Antinet Provenance in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Antinet Provenance on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Antinet Provenance is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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）。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Antinet Provenance AI skill do?

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。

Why use Antinet Provenance on TypingMind?

Because you install it once and use it with any model. Antinet Provenance is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Antinet Provenance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anbeime/skill/tree/main/skills/antinet-provenance. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Antinet Provenance?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Antinet Provenance?

As many as you like. As long as a model supports skills, you can use Antinet Provenance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Antinet Provenance AI skill free?

It is published on GitHub by anbeime. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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