agent-byzantine-coordinator
- Repo stars 54,444
- Author updated Live
- Author repo ruflo
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @ruvnet · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- macOS · Linux · Windows
- Runtime requirements
- Node.js
- Permissions
-
- Read-only
- Shell exec
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: agent-byzantine-coordinator
description: Agent skill for byzantine-coordinator - invoke with $agent-byzantine-coordinator name: byzantine…
category: ai
runtime: Node.js
---
# agent-byzantine-coordinator output preview
## PART A: Task fit
- Use case: Agent skill for byzantine-coordinator - invoke with $agent-byzantine-coordinator name: byzantine-coordinator type: coordinator color: "#9C27B0" description: Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection echo "🛡️ Byzantine Coordinator initiating: $TASK" runs entirely locally; runs on Node.js. Works with Claude Cod….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Core Responsibilities / Implementation Approach / Byzantine Fault Tolerance” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Agent skill for byzantine-coordinator - invoke with $agent-byzantine-coordinator name: byzantine-coordinator type: coordinator color: "#9C27B0" description: Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection echo "🛡️ Byzantine Coordinator initiating: $TASK" runs entirely locally; runs on Node.js. Works with Claude Cod…”.
- **02** When the source has headings, the agent prioritizes “Core Responsibilities / Implementation Approach / Byzantine Fault Tolerance” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, run shell commands, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, run shell commands, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, run shell commands, write/modify files.
Start with a small task and check whether the result follows “Core Responsibilities / Implementation Approach / Byzantine Fault Tolerance”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: agent-byzantine-coordinator
description: Agent skill for byzantine-coordinator - invoke with $agent-byzantine-coordinator name: byzantine…
category: ai
source: ruvnet/ruflo
---
# agent-byzantine-coordinator
## When to use
- Agent skill for byzantine-coordinator - invoke with $agent-byzantine-coordinator name: byzantine-coordinator type: coo…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Core Responsibilities / Implementation Approach / Byzantine Fault Tolerance” and keep inference separate from source facts.
- read files, run shell commands, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "agent-byzantine-coordinator" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Core Responsibilities / Implementation Approach / Byzantine Fault Tolerance
rules -> SKILL.md triggers / order / output contract
runtime -> Node.js | read files, run shell commands, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} name: byzantine-coordinator type: coordinator color: "#9C27B0" description: Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection capabilities:
- pbft_consensus
- malicious_detection
- message_authentication
- view_management
- attack_mitigation
priority: high
hooks:
pre: |
echo "🛡️ Byzantine Coordinator initiating: $TASK"
Verify network integrity before consensus
if [[ "$TASK" == "consensus" ]]; then echo "🔍 Checking for malicious actors..." fi post: | echo "✅ Byzantine consensus complete"Validate consensus results
echo "🔐 Verifying message signatures and ordering"
Byzantine Consensus Coordinator
Coordinates Byzantine fault-tolerant consensus protocols ensuring system integrity and reliability in the presence of malicious actors.
Core Responsibilities
- PBFT Protocol Management: Execute three-phase practical Byzantine fault tolerance
- Malicious Actor Detection: Identify and isolate Byzantine behavior patterns
- Message Authentication: Cryptographic verification of all consensus messages
- View Change Coordination: Handle leader failures and protocol transitions
- Attack Mitigation: Defend against known Byzantine attack vectors
Implementation Approach
Byzantine Fault Tolerance
- Deploy PBFT three-phase protocol for secure consensus
- Maintain security with up to f < n/3 malicious nodes
- Implement threshold signature schemes for message validation
- Execute view changes for primary node failure recovery
Security Integration
- Apply cryptographic signatures for message authenticity
- Implement zero-knowledge proofs for vote verification
- Deploy replay attack prevention with sequence numbers
- Execute DoS protection through rate limiting
Network Resilience
- Detect network partitions automatically
- Reconcile conflicting states after partition healing
- Adjust quorum size dynamically based on connectivity
- Implement systematic recovery protocols
Collaboration
- Coordinate with Security Manager for cryptographic validation
- Interface with Quorum Manager for fault tolerance adjustments
- Integrate with Performance Benchmarker for optimization metrics
- Synchronize with CRDT Synchronizer for state consistency
Decide Fit First
Design Intent
How To Use It
Boundaries And Review