Ruflo is an execution and coordination layer for Claude Code and Codex that equips AI coding agents with tools, memory, control loops, sandboxes, and collaboration mechanisms. Developers use it to organize specialized agents into swarms, coordinate workflows, retain knowledge across sessions, and communicate across machines. The catalogue entries are Ruflo’s skills, commands, agents, hooks, and plugin components.
Borrowing it
Nothing to install: this file belongs to ruvnet/ruflo. 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/ruflo/main/.claude/agents/MIGRATION_SUMMARY.mdgit clone --depth 1 https://github.com/ruvnet/rufloWrote 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/agents/ruvnet/ruflo/migration_summary)<a href="https://agentmods.dev/agents/ruvnet/ruflo/migration_summary"><img src="https://agentmods.dev/badge/agents/ruvnet/ruflo/migration_summary/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/agents/ruvnet/ruflo/migration_summary"><img src="https://agentmods.dev/badge/agents/ruvnet/ruflo/migration_summary.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 | $0.00016 | $0.01574 |
| Opus 5.5 | $0.00006 | $0.00630 |
| Sonnet 5.5 | $0.00003 | $0.00315 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade A, and why
Migration Summary 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:
- Migration Summary — 100% identical, 0 lines differ
- Migration Summary — 100% identical, 0 lines differ
- Migration Summary — 100% identical, 0 lines differ
- Migration Summary — 100% identical, 0 lines differ
- Migration Summary — 100% identical, 0 lines differ
- MIGRATION_SUMMARY — 97% identical, 95 lines differ
- MIGRATION_SUMMARY — 97% identical, 23 lines differ
- MIGRATION_SUMMARY — 97% identical, 435 lines differ
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Flow Commands to Agent System Migration Summary
Executive Summary
This document provides a complete migration plan for converting the existing command-based system (.claude/commands/) to the new intelligent agent-based system (.claude/agents/). The migration preserves all functionality while adding natural language understanding, intelligent coordination, and improved parallelization.
Key Migration Benefits
1. Natural Language Activation
- Before:
/sparc orchestrator "task" - After: "Orchestrate the development of the authentication system"
2. Intelligent Coordination
- Agents understand context and collaborate
- Automatic agent spawning based on task requirements
- Optimal resource allocation and topology selection
3. Enhanced Parallelization
- Agents execute independent tasks simultaneously
- Improved performance through concurrent operations
- Better resource utilization
Complete Command to Agent Mapping
Coordination Commands → Coordination Agents
| Command | Agent | Key Changes |
|---|---|---|
/coordination/init.md |
coordinator-swarm-init.md |
Auto-topology selection, resource optimization |
/coordination/spawn.md |
coordinator-agent-spawn.md |
Intelligent capability matching |
/coordination/orchestrate.md |
orchestrator-task.md |
Enhanced parallel execution |
GitHub Commands → GitHub Specialist Agents
| Command | Agent | Key Changes |
|---|---|---|
/github/pr-manager.md |
github-pr-manager.md |
Multi-reviewer coordination, CI/CD integration |
/github/code-review-swarm.md |
github-code-reviewer.md |
Parallel review execution |
/github/release-manager.md |
github-release-manager.md |
Multi-repo coordination |
/github/issue-tracker.md |
github-issue-tracker.md |
Project board integration |
SPARC Commands → SPARC Methodology Agents
| Command | Agent | Key Changes |
|---|---|---|
/sparc/orchestrator.md |
sparc-coordinator.md |
Phase management, quality gates |
/sparc/coder.md |
implementer-sparc-coder.md |
Parallel TDD implementation |
/sparc/tester.md |
qa-sparc-tester.md |
Comprehensive test strategies |
/sparc/designer.md |
architect-sparc-designer.md |
System architecture focus |
/sparc/documenter.md |
docs-sparc-documenter.md |
Multi-format documentation |
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 · 222 lines · 16 tokens per session scan A b9dc5108c3c0
Migration Summary is an agent published in the GitHub repository ruvnet/ruflo (77,172 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 1,574 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 2026-09-03.
Other agents, from other repositories
cold-reading-detection
Cold reading at the detection position. Where is the shipped tree in tension with the claim record? Returns tensions, each with the constraint in play and why it is a tension, under the registrative supply regime.
cold-reading-widening
Cold reading at the widening position. Given the situation as this design construes it, what configurations does the construal admit that are not present in what has been committed to? Returns configurations and what admits each, under the generative supply regime.
security-reviewer
Adversarial security review of a diff or design. Use PROACTIVELY before presenting any change that touches a trust boundary — auth, secrets, network exposure, input parsing, file/DB access, subprocess execution — or any invariant declared in the project's AGENTS.md. Authorized defensive review of the user's own code…
swiss-legal-briefing-coordinator
Pure planner for the briefing flow: classifies the query, selects the specialist panel, and (given Q&A history) builds the structured execution plan. Panel consultation and user Q&A are orchestrated by the parent command at the top-level session, where Task dispatch works on every host.
swiss-legal-advocate
Builds the strongest possible case in favor of a legal position using Swiss law precedents, statutory provisions, and doctrine.
data-protection-specialist
Analyzes compliance with nDSG/FADP, GDPR adequacy, cantonal data protection laws (IDG/KDSG/LIPAD), and conducts DPIA and transfer impact assessments.