A development workflow that represents product requirements and implementation plans as connected records, with review, testing, and agent assignments.

Use it to model requirements and plans, organize multi-agent implementation, review changes, run end-to-end tests, and visualize the project structure.

It gives teams a shared structure for tracing code work back to requirements and coordinating several agents.

kgdd — Plugin by context4ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Claude Code

/plugin marketplace add context4ai/workflow

agentmods

npx agentmods add plugins/context4ai/workflow/workflow

Clone the repo

git clone --depth 1 https://github.com/context4ai/workflow

Made for: Claude Code.

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

kgdd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude-plugin/plugin.json · 29 lines

What it actually says

{
  "name": "kgdd",
  "version": "1.2.1",
  "description": "Knowledge-Graph-Driven Development (KGDD) workflow for AI Agents. Models product requirements (PRD) and implementation plans (Plan) as structured Node/Edge/Fact graphs, with full spec traceability, automated review, multi-Agent execution, testing, visualization, and a built-in design system.",
  "author": {
    "name": "qiansc",
    "url": "https://github.com/qiansc"
  },
  "repository": "https://github.com/context4ai/workflow",
  "license": "MIT",
  "keywords": [
    "kgdd",
    "knowledge-graph-driven-development",
    "knowledge-graph",
    "prd",
    "plan",
    "spec-traceability",
    "multi-agent",
    "code-review",
    "e2e-testing",
    "design-system",
    "ai-agent-workflow",
    "graph-visualization",
    "product-modeling"
  ],
  "skills": "./skills/",
  "commands": []
}

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 29 lines scan A 74a53b38060c

Subscribe to this mod's changes

kgdd is a plugin published in the GitHub repository context4ai/workflow (4 stars, last pushed 4mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Code review Frontend Testing

kgdd

Getting it into your agent

Grade A, and why

Nothing flagged

What it actually says

What this file has done since we first saw it

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