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 agents/nwave-ai/nwave/nw-agent-buildergit clone --depth 1 https://github.com/nWave-ai/nWaveWrote 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/agents/nwave-ai/nwave/nw-agent-builder)<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-agent-builder"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-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 | $0.00000 | $0.00348 |
| Opus 5 | $0.00000 | $0.00174 |
| Sonnet 5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
nw-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 4d 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
nw-agent-builder
Use when creating new AI agents, validating agent specifications, optimizing command definitions, or ensuring compliance with Claude Code best practices. Creates focused, research-validated agents (200-400 lines) with Skills for domain knowledge. Also optimizes bloated command files into lean declarative definitions.
Wave: Other Model: inherit Max turns: 0 Tools: Read, Write, Edit, Glob, Grep, Task
Commands
Skills
- nw-ab-critique-dimensions — Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
- nw-agent-creation-workflow — Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
- nw-agent-testing — 5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
- nw-command-design-patterns — Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
- nw-command-optimization-workflow — Step-by-step workflow for converting bloated command files to lean declarative definitions
- nw-design-patterns — 7 agentic design patterns with decision tree for choosing the right pattern for each agent type
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.
- 4d ago First seen · 22 lines · 0 tokens per session scan A a96c5577fa8a
nw-agent-builder is an agent published in the GitHub repository nWave-ai/nWave (603 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 348 tokens. 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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