RuView is a WiFi sensing platform that uses disturbances in radio signals, captured by low-cost ESP32 sensors, to detect presence, movement, breathing, and heart rate without cameras or wearables. It is intended for spatial monitoring and smart-home integrations. The catalogue add-ons support workflows for operating and integrating RuView.
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.
git clone --depth 1 https://github.com/ruvnet/RuViewWrote 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/commands/ruvnet/ruview/researcher)<a href="https://agentmods.dev/commands/ruvnet/ruview/researcher"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/researcher/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/ruvnet/ruview/researcher"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/researcher.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00293 |
| Opus 5.5 | $0.00000 | $0.00117 |
| Sonnet 5.5 | $0.00000 | $0.00059 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
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 1mo 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- researcher — 100% identical, 0 lines differ
- researcher — 100% identical, 0 lines differ
- researcher — 100% identical, 0 lines differ
- researcher — 100% identical, 0 lines differ
- researcher — 100% identical, 0 lines differ
- researcher — 100% identical, 7 lines differ
- researcher — 100% identical, 0 lines differ
- researcher — 100% identical, 0 lines differ
What it actually says
SPARC Researcher Mode
Purpose
Deep research with parallel WebSearch/WebFetch and Memory coordination.
Activation
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "researcher",
task_description: "research AI trends 2024",
options: {
depth: "comprehensive",
sources: ["academic", "industry", "news"]
}
}
Option 2: Using NPX CLI (Fallback when MCP not available)
# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run researcher "research AI trends 2024"
# For alpha features
npx claude-flow@alpha sparc run researcher "research AI trends 2024"
Option 3: Local Installation
# If claude-flow is installed locally
./claude-flow sparc run researcher "research AI trends 2024"
Core Capabilities
- Information gathering
- Source evaluation
- Trend analysis
- Competitive research
- Technology assessment
Research Methods
- Parallel web searches
- Academic paper analysis
- Industry report synthesis
- Expert opinion gathering
- Data compilation
Memory Integration
- Store research findings
- Build knowledge graphs
- Track information sources
- Cross-reference insights
- Maintain research history
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.
- 1mo ago First seen · 55 lines · 0 tokens per session scan A ec6c5c30269d
researcher is a command published in the GitHub repository ruvnet/RuView (99,196 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 293 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 2026-09-03.
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