Borrowing it
Nothing to install: this file belongs to ruah-dev/ruah-orch. 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/ruah-dev/ruah-orch/main/.claude/skills/ruah-orchestrator/SKILL.mdgit clone --depth 1 https://github.com/ruah-dev/ruah-orchWrote 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/skills/ruah-dev/ruah-orch/ruah-orchestrator)<a href="https://agentmods.dev/skills/ruah-dev/ruah-orch/ruah-orchestrator"><img src="https://agentmods.dev/badge/skills/ruah-dev/ruah-orch/ruah-orchestrator/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/skills/ruah-dev/ruah-orch/ruah-orchestrator"><img src="https://agentmods.dev/badge/skills/ruah-dev/ruah-orch/ruah-orchestrator.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 | $0.00022 | $0.00355 |
| Opus 5 | $0.00011 | $0.00178 |
| Sonnet 5 | $0.00004 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
ruah-orchestrator 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 11d 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
ruah — Multi-Agent Orchestration
ruah is installed and available in this project. Use it to orchestrate parallel AI agent work.
Quick Reference
# Status
ruah status --json
# Create isolated tasks
ruah task create <name> --files "src/**" --executor claude-code --prompt "..."
# Start task (creates worktree, runs executor)
ruah task start <name>
# Lifecycle
ruah task done <name>
ruah task merge <name>
# Workflows (DAG-based)
ruah workflow run <file.md>
ruah workflow plan <file.md>
# Subagent spawning
ruah task create <child> --parent <parent> --files "src/sub/**" --executor claude-code --prompt "..."
When to Use ruah
- Multiple files/modules need parallel independent work → create separate tasks
- A task can be split into subtasks → use
--parentfor hierarchical branching - Quality gates needed before merge → ruah auto-detects governance.md
- Need isolated worktrees for conflict-free parallel edits
Environment Variables (available in task worktrees)
RUAH_TASK— current task nameRUAH_WORKTREE— worktree pathRUAH_PARENT_TASK— parent task (if subtask)RUAH_FILES— locked file patternsRUAH_ROOT— repo root
JSON Output
Every command supports --json for structured output.
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.
- 11d ago First seen · 53 lines · 22 tokens per session scan A a2f624eed191
ruah-orchestrator is a skill published in the GitHub repository ruah-dev/ruah-orch (11 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 355 once invoked, about $0.0001 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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