implement — blue-team implement, community, blue-team, ide skills, cyber-range, cybersecurity, cybersecurity-tools, infosec, offensive-security, purple-team, Claude Code

v1.0.0

关于此技能

Perfect for Advanced AI Analysis Agents needing comprehensive content analysis and SOC-in-a-Box implementation for AI purple teaming SOC-in-a-Box for AI purple teaming

# 核心主题

Brad-Edwards Brad-Edwards
[12]
[6]
更新于: 3/30/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
18
Canonical Locale
en
Detected Body Locale
en

Perfect for Advanced AI Analysis Agents needing comprehensive content analysis and SOC-in-a-Box implementation for AI purple teaming SOC-in-a-Box for AI purple teaming

核心价值

Empowers agents to implement comprehensive content analysis using GitHub issues, MCP tools, and traceability links, providing advanced codebase coverage assessment and planning capabilities with protocols like GitHub API and tools like gc_get_requirement and gc_create_traceability_link

适用 Agent 类型

Perfect for Advanced AI Analysis Agents needing comprehensive content analysis and SOC-in-a-Box implementation for AI purple teaming

赋予的主要能力 · implement

Assessing codebase coverage for SOC-in-a-Box requirements
Planning implementation of comprehensive content analysis
Generating traceability links for GitHub issues and code artifacts

! 使用限制与门槛

  • Requires GitHub API access and MCP tools
  • Needs active GitHub repository connection
  • Limited to Python-based MCP tools and GitHub issues

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

implement 是什么?

Perfect for Advanced AI Analysis Agents needing comprehensive content analysis and SOC-in-a-Box implementation for AI purple teaming SOC-in-a-Box for AI purple teaming

如何安装 implement?

运行命令:npx killer-skills add Brad-Edwards/aptl/implement。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

implement 适用于哪些场景?

典型场景包括:Assessing codebase coverage for SOC-in-a-Box requirements、Planning implementation of comprehensive content analysis、Generating traceability links for GitHub issues and code artifacts。

implement 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

implement 有哪些限制?

Requires GitHub API access and MCP tools;Needs active GitHub repository connection;Limited to Python-based MCP tools and GitHub issues。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add Brad-Edwards/aptl/implement。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    implement 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

implement

安装 implement,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Implement Requirement: $ARGUMENTS

Step 1: Fetch Requirement and Ensure GitHub Issue Exists

  1. Enter plan mode.

  2. Use the gc_get_requirement MCP tool with uid GC-$ARGUMENTS to fetch the requirement details. Note the requirement's UUID, title, statement, status, and wave.

  3. Use the gc_get_traceability MCP tool with the requirement's UUID to check for existing traceability links. Look for a link with artifact_type GITHUB_ISSUE.

  4. If NO GitHub issue link exists:

    • Use the gc_create_github_issue MCP tool with uid $ARGUMENTS to create a GitHub issue and auto-link it.
  5. If a GitHub issue link DOES exist, note the issue number from the artifact_identifier.

  6. Run gh issue develop <issue-number> --checkout --base dev to switch to the issue branch.

Step 2: Read the GitHub Issue

Run gh issue view <issue-number> to read the full issue details including description, labels, and comments.

Step 3: Assess Codebase Coverage

Explore the codebase to determine whether the requirement described in the issue is already satisfied by existing code:

  • Search for relevant classes, methods, tests, and configurations
  • Check if the described behavior already exists
  • Review any existing traceability links (IMPLEMENTS, TESTS) from Step 1

Step 4: Plan or Report

  • If the requirement is NOT yet met: Plan the implementation. Identify which files need to be created or modified, what tests to write, and what approach to take. Enter plan mode.
  • Your plans must respect the coding standards and classification levels in ADR-012.
  • Plans must include updating the changelog, readme, and docs as appropriate.
  • If designing code, remember to build off existing cross-cutting concerns, code, and patterns
  • Good code is readable, maintainable, and follows the coding standards
  • Address the concerns a FAANG L6+ engineer would have around security, performance, reliability, and scalability
  • Avoid reinventing the wheel - use existing libraries and frameworks where appropriate
  • Code should be easy to understand, test, and maintain. Simple is better than complex.
  • If the requirement IS already met: Report that the requirement is satisfied and identify which code satisfies it.

Step 4.5: Clause-by-Clause Verification

Before declaring implementation complete:

  1. Re-read the requirement statement from Step 1.
  2. Break it into individual clauses and acceptance criteria.
  3. For EACH clause, identify the specific code (file:line) that satisfies it.
  4. If any clause is not satisfied, go back and implement it before proceeding.

Present the mapping as a checklist:

  • Clause: "..." → Satisfied by: file.java:line
  • Clause: "..." → Satisfied by: file.java:line

Do not proceed to Step 5 until every clause is checked off.

After implementation is complete (or if already implemented):

  • use the gc_create_traceability_link MCP tool to create any missing links:
    • IMPLEMENTS links from the requirement to the code files that implement it
    • TESTS links from the requirement to the test files that verify it
    • Only create links that don't already exist (check the traceability data from Step 1).
  • use the gc_transition_status MCP tool to transition the requirement to ACTIVE if it was DRAFT.

Do not update the Changelog if all you did was operate Ground Control tools.

Step 6: Completion Gate

Implementation is NOT complete until ALL of the following are verified:

  1. make check passes — run it and confirm BUILD SUCCESSFUL.
  2. CHANGELOG.md updated — verify it is in git diff --name-only if any source files changed.
  3. Traceability links exist — re-fetch with gc_get_traceability and confirm IMPLEMENTS and TESTS links are present.
  4. Requirement status is ACTIVE — re-fetch with gc_get_requirement and confirm status.
  5. Step 4.5 clause mapping was completed — if you skipped it, go back and do it now.

If any check fails, fix it before reporting completion. Do NOT report the implementation as done until every check passes.

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