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.
Borrowing it
Nothing to install: this file belongs to ruvnet/RuView. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ruvnet/RuView/main/.claude/commands/github/swarm-issue.mdgit 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/swarm-issue)<a href="https://agentmods.dev/commands/ruvnet/ruview/swarm-issue"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/swarm-issue/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/swarm-issue"><img src="https://agentmods.dev/badge/commands/ruvnet/ruview/swarm-issue.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 | $0.03096 |
| Opus 5.5 | $0.00000 | $0.01238 |
| Sonnet 5.5 | $0.00000 | $0.00619 |
| Haiku 4.5 | $0.00000 | $0.00310 |
Grade A, and why
swarm-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- swarm-issue — 100% identical, 5 lines differ
- swarm-issue — 100% identical, 0 lines differ
- swarm-issue — 100% identical, 0 lines differ
- swarm-issue — 100% identical, 0 lines differ
- swarm-issue — 100% identical, 0 lines differ
- swarm-issue — 100% identical, 0 lines differ
- swarm-issue — 100% identical, 0 lines differ
- swarm-issue — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Swarm Issue - Issue-Based Swarm Coordination
Overview
Transform GitHub Issues into intelligent swarm tasks, enabling automatic task decomposition and agent coordination.
Core Features
1. Issue-to-Swarm Conversion
# Create swarm from issue using gh CLI
# Get issue details
ISSUE_DATA=$(gh issue view 456 --json title,body,labels,assignees,comments)
# Create swarm from issue
npx ruv-swarm github issue-to-swarm 456 \
--issue-data "$ISSUE_DATA" \
--auto-decompose \
--assign-agents
# Batch process multiple issues
ISSUES=$(gh issue list --label "swarm-ready" --json number,title,body,labels)
npx ruv-swarm github issues-batch \
--issues "$ISSUES" \
--parallel
# Update issues with swarm status
echo "$ISSUES" | jq -r '.[].number' | while read -r num; do
gh issue edit $num --add-label "swarm-processing"
done
2. Issue Comment Commands
Execute swarm operations via issue comments:
<!-- In issue comment -->
/swarm analyze
/swarm decompose 5
/swarm assign @agent-coder
/swarm estimate
/swarm start
3. Issue Templates for Swarms
<!-- .github/ISSUE_TEMPLATE/swarm-task.yml -->
name: Swarm Task
description: Create a task for AI swarm processing
body:
- type: dropdown
id: topology
attributes:
label: Swarm Topology
options:
- mesh
- hierarchical
- ring
- star
- type: input
id: agents
attributes:
label: Required Agents
placeholder: "coder, tester, analyst"
- type: textarea
id: tasks
attributes:
label: Task Breakdown
placeholder: |
1. Task one description
2. Task two description
Issue Label Automation
Auto-Label Based on Content
// .github/swarm-labels.json
{
"rules": [
{
"keywords": ["bug", "error", "broken"],
"labels": ["bug", "swarm-debugger"],
"agents": ["debugger", "tester"]
},
{
"keywords": ["feature", "implement", "add"],
"labels": ["enhancement", "swarm-feature"],
"agents": ["architect", "coder", "tester"]
},
{
"keywords": ["slow", "performance", "optimize"],
"labels": ["performance", "swarm-optimizer"],
"agents": ["analyst", "optimizer"]
}
]
}
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 · 482 lines · 0 tokens per session scan A 38ce94624385
swarm-issue is a command published in the GitHub repository ruvnet/RuView (98,818 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,096 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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