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copilot-operation-plugin-for-security - Universal offline-first cybersecurity plugin catal 防护思路 点击放大
作者:admin 发布:2026-10-06

copilot-operation-plugin-for-security - Universal offline-first cybersecurity plugin catal

项目说明COPS — Copilot Operations Plugins for Security<p align="center"> <img src="docs/assets/cops-logo.png" alt="COPS …
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copilot-operation-plugin-for-security - Universal offline-first cybersecurity plugin catal

项目说明

COPS — Copilot Operations Plugins for Security

<p align="center">
<img src="docs/assets/cops-logo.png" alt="COPS shield and copilot visor logo" width="260">
</p>

<p align="center">
<a href=" src=" alt="Documentation Site"></a>
<img src=" alt="Python 3.11+">
<a href="LICENSE"><img src=" alt="License"></a>
<img src=" alt="Offline First">
<a href="docs/CO.md"><img src=" alt="MITRE ATT&CK v18.0"></a>
<img src=" alt="Uni Portability">
</p>

Welcome to COPS (Copilot Operations Plugins for Security)! COPS is an open-source, uni catalog of defensi plugins, 18 specialist agent profiles, and deterministic offline tools.

Whether your team works in GitHub Copilot, Claude Code, or Codex / ChatGPT, COPS provides production-grade cybersecurity capabilities without ecosystem lock-in. E is designed offline-first: you can explore tools, run demos, and detection logic directly from your local terminal using standard Python—no cloud credentials, assistant installations, or li connections required.

📖 Visit the complete COPS Documentation Website for interacti, playbooks, and reference architectures.

---

Fi Quickstart

All you need is Python 3.11 or newer. These commands use only the Python standard library and make zero external network calls:

What these commands do for you


  • cops doctor: Quickly checks that your Python en is ready and your package catalogs are in sync.

  • cops list: Displays the thirteen a security plugins, their maturity stage, and their status.

  • cops route: Deterministically routes any natural language task to the optimal specialist profile with zero LLM token cost.

  • cops demo: Runs a self-contained, offline walkthrough using synthetic test data.

  • cops check: Executes deterministic suites (syntax checks, schema tests, mutation tests) right on your machine.
  • ---

    A Security Plugins (13 Packages)

    Each package lives in its own self-contained directory under plugins/<category>/<plugin-id>/ and includes a complete practitioner playbook:

    | Security Plugin | Category | Maturity | What it solves | Try it out |
    | :--- | :--- | :---: | :--- | :--- |
    | Security Logging Advisor | Logging & Telemetry | <span class="badge badge-stable">Stable</span> | Audits codebases for security logging gaps, flags sensitive data leaks, and prioritizes C. | python3 -m cops demo security-logging-advisor |
    | Telemetry Proof Pack | Logging & Telemetry | <span class="badge badge-beta">Beta</span> | end-to-end telemetry routes and pipeline health from Cribl Stream to Splunk and Sentinel. | python3 -m cops check telemetry-proof-pack |
    | SOC In Workbench | Detection & Hunting | <span class="badge badge-beta">Beta</span> | Guides alert triage using competing hypotheses, question ranking, and e dependency graphs. | python3 -m cops demo soc-in |
    | Sentinel Hunt Workbench | Detection & Hunting | <span class="badge badge-beta">Beta</span> | Authors, adapts, and stress-tests 12 defensi Sentinel and Defender KQL threat hunts offline. | python3 -m cops demo sentinel-hunt-workbench |
    | Attack Path Workbench | Detection & Hunting | <span class="badge badge-experimental">Experimental</span> | Traces multi-hop cloud lateral mo paths from local exports to crown jewels and finds choke points. | python3 -m cops demo attack-path-workbench |
    | Detection Quality Workbench | Detection & Hunting | <span class="badge badge-beta">Beta</span> | detection syntax, regressions, and quality metrics across Microsoft Sentinel KQL and Splunk SPL. | python3 -m cops check detection-quality-workbench |
    | Threat Intelligence Enrichment | Detection & Hunting | <span class="badge badge-experimental">Experimental</span> | Enriches network, host, and hash indicators with pro threat intelligence metadata. | python3 -m cops check threat-intelligence-enrichment |
    | Entra Identity Workbench | Identity & Access | <span class="badge badge-beta">Beta</span> | E Entra ID role assignments, service principals, consent grants, and credential exposures. | python3 -m cops check entra-identity-workbench |
    | Exposure Triage Workbench | Management | <span class="badge badge-beta">Beta</span> | Prioritizes triage by correlating ad CVEs, SBOM components, and call graph reachability. | python3 -m cops check exposure-triage-workbench |
    | Patch Security Review | Management | <span class="badge badge-beta">Beta</span> | Analyzes code patches and pull request diffs for dangerous patterns, authorization flaws, and regression risks. | python3 -m cops check patch-security-review |
    | Attack Surface Planner | Offensi | <span class="badge badge-experimental">Experimental</span> | Translates authorized rules of engagement into bounded, passi plans from local export manifests. | python3 -m cops demo attack-surface-planner |
    | Foundry Agent Harness | Offensi | <span class="badge badge-beta">Beta</span> | E AI agent behavior, prompt injection resistance, and safety boundaries in a simulated sandbox. | python3 -m cops check foundry-agent-harness |
    | Incident Response Sandbox | Incident Response | <span class="badge badge-beta">Beta</span> | Rehearses containment workflows, calculates blast radius, and generates cryptographic execution receipts. | python3 -m cops check incident-response-sandbox |

    For in-depth guidance on choosing the right plugin for your operational scenario, see the When to Use Each Plugin Guide.

    ---

    18 Specialist Cybersecurity Agent Profiles & Dynamic Routing

    COPS centralizes 18 specialist cybersecurity agent profiles in agents/ across offensi, forensics, identity, and go disciplines. The deterministic zero-token router dynamically matches incoming tasks to the best specialist profile:

    For high-risk operations (e.g. penetration testing, red team emulation, acti, or cloud pri escalation), COPS automatically activates Triad Orchestration (Primary Specialist + Domain Skeptic + E Auditor) with mandatory interacti authorization. Read the Specialist Agents Guide for architecture details.

    ---

    MITRE ATT&CK & Attack Flow Co

    COPS capability logic, queries, and in workflows are formally mapped to the MITRE ATT&CK Enterprise Matrix (pinned v18.0) and MITRE Attack Flow:

  • MITRE ATT&CK Co Matrix: Explore normalized technique mappings, co roles, states, and known bypass confounders.

  • Co & Attack Flow Guide: Gap analysis separating missing telemetry from missing analytics, representative STIX 2.1 Attack Flow exports, and authoring guidelines.
  • ---

    How Uni Portability Works

    Different AI assistants expect different file structures, manifests, and skill formats. COPS removes that headache through automated, drift-free synchronization:

    1. One Source of Truth: The central in in catalog/plugins.json defines all package metadata, , and categories.
    2. Standardized Packages: Each plugin maintains its core Agent Plugins v1.0.0 manifest (plugin.json), host manifests (.claude-plugin/, .codex-plugin/), and reusable skills.
    3. Automated Host Marketplaces: Running python3 -m cops generate automatically creates and synchronizes configuration files for:
    - GitHub Copilot: .github/plugin/marketplace.json
    - Claude Code: .claude-plugin/marketplace.json
    - Codex / ChatGPT: .agents/plugins/marketplace.json
    4. Guaranteed Consistency: Our test gates that host indexes ne out of sync with the catalog.

    Learn more in the Portability Architecture and Repository Layout guides.

    ---

    Contributor Setup

    If you want to contribute new plugins, skills, or core features:

    *(On Windows PowerShell, run .\.ven\Activate.ps1 to activate your en).*

    Before creating new plugins or modifying contracts, please review:

  • Documentation Site: The official documentation website.

  • Getting Started Guide: Quickstart and command walkthroughs.

  • Adding a Plugin: Step-by-step instructions for contributing a new security capability.

  • Troubleshooting Guide: Solutions for common setup and dependency issues.

  • Repository Contract (AGENTS.md): Coding con, git workflow, and branch rules.

  • Contributing Guide: En setup and testing workflows.
  • ---

    E & Safety Principles

    In security engineering, confidence comes from :

  • Offline Safety: Demos and checks run against local synthetic test data. They never make unre network calls or write to remote production services.

  • Clear Status Separation: We clearly separate what has been locally from what remains un in a li en. A passing offline test proves code correctness—it does not claim your production SIEM is currently receiving li.

  • Data Privacy: Tools treat all input code and logs as sensitive data. They do not store credentials or transmit telemetry to third parties.

  • Truth-in-Ad: Capabilities are audited into four operational readiness modes (planned, import, laboratory, li), with zero false li.
  • ---

    License & Attribution

  • COPS project code and documentation are licensed under the PolyForm Noncommercial License 1.0.0.

  • Reusable components imported from PARK retain their original Apache-2.0 notices. See Third-Party Notices and Licensing Guide for details.
  • Plugin execution cost analysis

    Contributors can use plugin-run-cost to measure explicitly assigned COPS runs, estimate input scaling, and compare API, local-tool and employee costs. It runs locally with synthetic examples, preser charges, and distinguishes API-equi estimates from actual bills.

    项目信息

    开发语言:Python

    Star 数:2

    技术要点

    该项目属于防护思路方向的开源资源,代码结构清晰,适合安全研究人员学习参考。项目围绕Universal offline-first cybersecurity plugin catalog & 18 specialist AI agent profiles for GitHub Copilot, Claude Code, and Codex. Offline demos, MITRE ATT&CK v18.0, and deterministic verification.展开,提供了可运行的实现,对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

    从技术实现角度看,此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论,梳理项目的初始化流程、核心模块职责与数据流转,逐步掌握其中的技术细节与设计思路。

    使用与学习建议

    1. 下载源码压缩包,解压到本地环境。

    2. 根据项目类型准备对应的运行环境与依赖。

    3. 按照 README 中的步骤完成配置与部署。

    4. 在隔离的测试环境中运行验证,避免影响生产系统。

    免责声明

    本资源来源于开源社区,仅供安全研究、技术学习与合法授权范围内的攻防演练使用,请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。

    资源标题copilot-operation-plugin-for-security - Universal offline-first cybersecurity plugin catal
    所属分类防护思路
    发布作者admin
    发布时间2026-10-06 00:23:05
    下载权限 免费下载
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