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.
/plugin marketplace add noah-sheldon/ai-dev-kitnpx agentmods add plugins/noah-sheldon/ai-dev-kit/marketplacegit clone --depth 1 https://github.com/noah-sheldon/ai-dev-kitGrade A, and why
ai-dev-kit 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 2d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "ai-dev-kit",
"owner": {
"name": "Noah Sheldon",
"email": "[email protected]"
},
"metadata": {
"description": "Production-ready AI dev workflow scaffold with 59 skills, 33 agents, hooks, and rules.",
"version": "1.1.0"
},
"plugins": [
{
"name": "ai-dev-kit",
"source": "./",
"description": "Full AI dev kit with 59 skills, 33 agents, hooks, and rules for professional engineering workflows.",
"version": "1.1.0",
"author": {
"name": "Noah Sheldon",
"email": "[email protected]"
},
"homepage": "https://noahsheldon.dev",
"repository": "https://github.com/noah-sheldon/ai-dev-kit",
"license": "MIT",
"keywords": ["claude-code", "plugin", "agents", "skills", "automation"],
"category": "productivity",
"tags": [
"ai",
"python",
"full-stack",
"typescript",
"javascript",
"machine-learning",
"llm",
"openai",
"fastapi",
"react",
"next-js",
"node-js",
"devops",
"cloud",
"aws",
"docker",
"infrastructure",
"testing",
"tdd",
"data-engineering",
"etl",
"database",
"postgres",
"mcp",
"agents",
"skills",
"automation",
"code-review",
"security",
"ci-cd",
"git",
"agentic-engineering",
"api-design",
"api-integrations",
"architecture-decision-records",
"autonomous-agent-harness",
"autonomous-loops",
"aws-deployment",
"aws-devops",
"backend-patterns",
"ci-pipeline",
"claude-api",
"codebase-onboarding",
"coding-standards",
"context-prune",
"continuous-agent-loop",
"data-pipelines",
"data-pipelines-ai",
"database-migrations",
"deep-research",
"deployment-paWhat ships with it
3 files beside marketplace.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 116 lines scan A aff197dfc33f
ai-dev-kit is a plugin published in the GitHub repository noah-sheldon/ai-dev-kit (13 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 2026-08-30.
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