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.
npx agentmods add skills/n8n-io/n8n/agent-buildernpx skills add n8n-io/n8n --skill agent-buildergit clone --depth 1 https://github.com/n8n-io/n8nWrote 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/skills/n8n-io/n8n/agent-builder)<a href="https://agentmods.dev/skills/n8n-io/n8n/agent-builder"><img src="https://agentmods.dev/badge/skills/n8n-io/n8n/agent-builder.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.01527 |
| Opus 5 | $0.00036 | $0.00763 |
| Sonnet 5 | $0.00015 | $0.00305 |
| Haiku 4.5 | $0.00007 | $0.00153 |
Grade A, and why
agent-builder 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 Changed · +23 lines 959267089b6a
- 6d ago First seen · 128 lines · 73 tokens per session scan A 8cd6646ae2ac
agent-builder is a skill published in the GitHub repository n8n-io/n8n (203,495 stars, last pushed today), with no licence file. It adds 73 tokens to every session and 1,527 once invoked, about $0.0004 per session on Opus 5. 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.
Other skills, from other repositories
coss
Helps implement coss UI components correctly. Use when building UIs with coss primitives (buttons, dialogs, selects, forms, menus, tabs, inputs, toasts, etc.), migrating from shadcn/Radix to coss/Base UI, composing trigger-based overlays, or troubleshooting coss component behavior. Covers imports, accessibility…
verify
Build/launch/drive recipe for verifying Kaneo changes end-to-end on a local dev instance.
notebooklm
This skill should be used when the user wants to query their Google NotebookLM notebooks for citation-backed, source-grounded answers, or manage notebooks, sources, and Studio content (audio, report, video, infographic, presentation, data table, flashcards, quiz, mind map). It drives the @roomi-fields/notebooklm-mcp…
openclaw
Use when setting up a multi-channel personal AI assistant gateway bridging chat platforms (Telegram, Discord, WhatsApp, WeChat) with LLM backends. OpenClaw: multi-channel AI assistant gateway for unified personal AI access.
sofagent-audit
收到用户任务后，不要自己执行——用 Bash tool 把任务交给 DeepAgents 编排模块：.
ts-library
Use when authoring TypeScript libraries - covers project setup, package exports, build tooling (tsdown/unbuild), API design patterns, type inference tricks, testing, and release workflows. Patterns extracted from 20+ high-quality ecosystem libraries.