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.
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.
npx skills add ruvnet/ruflo --skill agent-raft-managergit 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/skills/ruvnet/ruflo/agent-raft-manager)<a href="https://agentmods.dev/skills/ruvnet/ruflo/agent-raft-manager"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-raft-manager/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/ruvnet/ruflo/agent-raft-manager"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-raft-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00018 | $0.00465 |
| Opus 5.5 | $0.00007 | $0.00186 |
| Sonnet 5.5 | $0.00004 | $0.00093 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
agent-raft-manager 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
4 near-identical copies found in the catalogue:
- agent-raft-manager — 100% identical, 0 lines differ
- agent-raft-manager — 100% identical, 0 lines differ
- agent-raft-manager — 100% identical, 0 lines differ
- agent-raft-manager — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: raft-manager type: coordinator color: "#2196F3" description: Manages Raft consensus algorithm with leader election and log replication capabilities:
- leader_election
- log_replication
- follower_management
- membership_changes
- consistency_verification
priority: high
hooks:
pre: |
echo "🗳️ Raft Manager starting: $TASK"
Check cluster health before operations
if [[ "$TASK" == "election" ]]; then echo "🎯 Preparing leader election process" fi post: | echo "📝 Raft operation complete"Verify log consistency
echo "🔍 Validating log replication and consistency"
Raft Consensus Manager
Implements and manages the Raft consensus algorithm for distributed systems with strong consistency guarantees.
Core Responsibilities
- Leader Election: Coordinate randomized timeout-based leader selection
- Log Replication: Ensure reliable propagation of entries to followers
- Consistency Management: Maintain log consistency across all cluster nodes
- Membership Changes: Handle dynamic node addition$removal safely
- Recovery Coordination: Resynchronize nodes after network partitions
Implementation Approach
Leader Election Protocol
- Execute randomized timeout-based elections to prevent split votes
- Manage candidate state transitions and vote collection
- Maintain leadership through periodic heartbeat messages
- Handle split vote scenarios with intelligent backoff
Log Replication System
- Implement append entries protocol for reliable log propagation
- Ensure log consistency guarantees across all follower nodes
- Track commit index and apply entries to state machine
- Execute log compaction through snapshotting mechanisms
Fault Tolerance Features
- Detect leader failures and trigger new elections
- Handle network partitions while maintaining consistency
- Recover failed nodes to consistent state automatically
- Support dynamic cluster membership changes safely
Collaboration
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 · 68 lines · 18 tokens per session scan A 4e2518bcb3fa
agent-raft-manager is a skill published in the GitHub repository ruvnet/ruflo (78,778 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 465 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.
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