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 HomenShum/NodeBenchAInpx agentmods add plugins/homenshum/nodebenchai/mcp-localgit clone --depth 1 https://github.com/HomenShum/NodeBenchAIWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/homenshum/nodebenchai/mcp-local)<a href="https://agentmods.dev/plugins/homenshum/nodebenchai/mcp-local"><img src="https://agentmods.dev/badge/plugins/homenshum/nodebenchai/mcp-local.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
nodebench-mcp 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.
What it actually says
{
"name": "nodebench-mcp",
"version": "2.30.0",
"description": "NodeBench MCP — 244-tool development methodology server with context sandbox, progressive discovery, agent-as-a-graph embeddings, and toolset gating presets.",
"author": {
"name": "Homen Shum",
"url": "https://github.com/homenshum"
},
"homepage": "https://github.com/homenshum/nodebench-ai#readme",
"repository": "https://github.com/homenshum/nodebench-ai",
"license": "MIT",
"keywords": [
"mcp",
"context-sandbox",
"fts5",
"bm25",
"progressive-discovery",
"agent-graph",
"embedding",
"toolset-gating",
"methodology"
],
"mcpServers": {
"nodebench-mcp": {
"command": "node",
"args": ["${CLAUDE_PLUGIN_ROOT}/dist/index.js"]
}
},
"skills": "./skills/"
}
What it installs
The manifest is a name and a version. 2 skills, 2 hooks travel with it, and installing the plugin installs all of them — 86 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
4 files beside plugin.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 · 31 lines scan A f2554128144b
nodebench-mcp is a plugin published in the GitHub repository HomenShum/NodeBenchAI (14 stars, last pushed today), 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 2026-09-03.
Other plugins, from other repositories
agent-orchestration
Multi-agent system optimization, agent improvement workflows, and context management.
ctx
Fast local search and 'git blame' for agent sessions.
knowl
Persistent memory for Claude Code. Facts are typed, sourced, and retired when they change, so a query returns the current answer rather than every answer it has ever held. Local SQLite in your repository — no API key, nothing uploaded.
context-guard
Per-session context-window observability plus the first shipped consumer: a statusline wrapper tees each session's contextwindow fields to a per-session snapshot file, a zone resolver classifies usage into smart/acceptable/dumb bands (percentage bands plus window-class token bands, conservative-min combination, zones.
ultracontext
Cross-agent session portability. Powered by UltraContext.
claude-ryzome
Ryzome — AI context library. Create, retrieve, and manage canvases and documents for externalizing agent working memory.