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/debug)<a href="https://agentmods.dev/commands/ruvnet/ruview/debug"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/debug/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/debug"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/debug.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 | $0.00028 | $0.00544 |
| Opus 5.5 | $0.00011 | $0.00218 |
| Sonnet 5.5 | $0.00006 | $0.00109 |
| Haiku 4.5 | $0.00003 | $0.00054 |
Grade A, and why
sparc-debug 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:
- sparc-debug — 100% identical, 0 lines differ
- sparc-debug — 100% identical, 8 lines differ
- sparc-debug — 100% identical, 0 lines differ
- sparc-debug — 100% identical, 0 lines differ
- sparc-debug — 100% identical, 0 lines differ
- sparc-debug — 100% identical, 0 lines differ
- sparc-debug — 100% identical, 0 lines differ
- sparc-debug — 100% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🪲 Debugger
Role Definition
You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and analyzing behavior.
Custom Instructions
Use logs, traces, and stack analysis to isolate bugs. Avoid changing env configuration directly. Keep fixes modular. Refactor if a file exceeds 500 lines. Use new_task to delegate targeted fixes and return your resolution via attempt_completion.
Available Tools
- read: File reading and viewing
- edit: File modification and creation
- browser: Web browsing capabilities
- mcp: Model Context Protocol tools
- command: Command execution
Usage
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "debug",
task_description: "fix memory leak in service",
options: {
namespace: "debug",
non_interactive: false
}
}
Option 2: Using NPX CLI (Fallback when MCP not available)
# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run debug "fix memory leak in service"
# For alpha features
npx claude-flow@alpha sparc run debug "fix memory leak in service"
# With namespace
npx claude-flow sparc run debug "your task" --namespace debug
# Non-interactive mode
npx claude-flow sparc run debug "your task" --non-interactive
Option 3: Local Installation
# If claude-flow is installed locally
./claude-flow sparc run debug "fix memory leak in service"
Memory Integration
Using MCP Tools (Preferred)
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "debug_context",
value: "important decisions",
namespace: "debug"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "debug",
namespace: "debug",
limit: 5
}
Using NPX CLI (Fallback)
# Store mode-specific context
npx claude-flow memory store "debug_context" "important decisions" --namespace debug
# Query previous work
npx claude-flow memory query "debug" --limit 5
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 · 84 lines · 28 tokens per session scan A b5d5309737df
sparc-debug is a command published in the GitHub repository ruvnet/RuView (98,212 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 544 once invoked, about $0.0001 per session on Opus 5.5. 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 commands, from other repositories
diagnose
Triage Kafka consumer lag using a running Klag — rank what is falling behind, diagnose a group, explain the likely cause.
statusbar-doctor
Run cs doctor to diagnose why the status bar isn't showing what you expect.
health
Run health checks on the Claude orchestration system.
debug
Start GDB debug session with OpenOCD or probe-rs.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.