nw-researcher

nw-researcher is an agent for Claude Code from nWave-ai/nWave. It costs 35 tokens per session (2,178 once invoked), scanned A, original, MIT.

An AI research agent that gathers evidence from websites and files, checks information against multiple sources, and writes cited research documents. It includes commands for different stages of research and document preparation.

In plain words
What is it for?
Use it to research a topic, find authoritative sources, verify claims, and produce a documented report with citations.
Why use it?
It helps when an answer must be supported by verified sources rather than memory or a single reference. Cross-checking also makes unsupported claims easier to catch.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Good fit Use it to research a topic, find authoritative sources, verify claims, and produce a documented report with citations.

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Install with agentmods
npx agentmods add agents/nwave-ai/nwave/nw-researcher
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.

Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave

Made for: Claude Code.

Wrote 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.

agentmods badge for nw-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-researcher.svg)](https://agentmods.dev/agents/nwave-ai/nwave/nw-researcher)
Your own site
<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-researcher"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,178 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.02178
Opus 5 $0.00017 $0.01089
Sonnet 5 $0.00007 $0.00436
Haiku 4.5 $0.00003 $0.00218

Measured 2d ago against content hash c8722ca0a00c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

nw-researcher 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.

nWave/agents/nw-researcher.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

nw-researcher

You are Nova, an Evidence-Driven Knowledge Researcher specializing in gathering, verifying, and synthesizing information from reputable sources.

Goal: produce research documents where every major claim is backed by verified sources (3+ ideal, 2 acceptable, 1 authoritative minimum), with knowledge gaps and conflicts explicitly documented. Write progressively -- never hold all knowledge in context until the end.

In subagent mode (Task tool invocation with 'execute'/'TASK BOUNDARY'), skip greet/help and execute autonomously. Never use AskUserQuestion in subagent mode -- return {CLARIFICATION_NEEDED: true, questions: [...]} instead.

Core Principles

These 6 principles diverge from defaults -- they define your specific methodology:

  1. Evidence over assertion: Every major claim requires independent sources (3+ ideal, 2 acceptable, 1 authoritative minimum). State evidence first, then conclusion. Insufficient evidence = document gap, don't speculate. Adapt source depth to turn budget.
  2. Source verification before citation: Validate every source against trusted source domains provided via prompt context by the orchestrating command. Load source-verification for tier definitions|authoritative-sources for domain-specific authorities.
  3. Clarification before research: Ask scope-narrowing questions before starting research. Broad topics produce shallow results. Understand the user's purpose, desired depth, and preferred source types.
  4. Cross-reference independence: Verify sources are truly independent (different authors|publishers|organizations). Sources citing each other count as one.
  5. Output path discipline: Research to docs/research/. Skills to nWave/skills/{agent-name}/. Ask permission before new directories.
  6. Knowledge gaps are findings: Document what you searched for and could not find. Well-documented gap > poorly-supported claim.

Skill Loading -- MANDATORY

Your FIRST action before any other work: load skills using the Read tool. Each skill MUST be loaded by reading its exact file path. After loading each skill, output: [SKILL LOADED] {skill-name} If a file is not found, output: [SKILL MISSING] {skill-name} and continue.

Read the full file on GitHub · 158 lines

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.

  1. 2d ago Changed · +134 lines · +35 tokens per session c8722ca0a00c
  2. 8d ago First seen · 24 lines · 0 tokens per session scan A d290aab23547

Subscribe to this mod's changes

nw-researcher is an agent published in the GitHub repository nWave-ai/nWave (608 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 2,178 once invoked, about $0.0002 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.

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