Provide implementations of advanced data structures
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a5c-ai/babysitter1.9KUpdated Sep 17, 2026
FreePublished on GitHub
anti-drift
Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
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See how to installFiles included (2)
- SKILL.md1.6 KB
- README.md225 B
SKILL.md (original)
Review the instructions the agent will receive before you install.
- Tasks with high risk of scope creep
- When multiple agents work on related subtasks
- Critical tasks where deviation is costly
Anti-Drift Mechanisms
- Hierarchical Coordinator - Queen agent validates alignment at checkpoints
- Frequent Checkpoints - Every 2 subtasks (configurable)
- Shared Memory Coherence - Validate all agents see consistent state
- Short Task Cycles - Bounded execution windows prevent runaway agents
- Role Specialization - Agents stay within their assigned scope
Drift Scoring
0.0-0.1: Fully aligned, no intervention needed0.1-0.3: Minor drift, automatic correction0.3-0.5: Significant drift, checkpoint correction with logging0.5+: Critical drift, human escalation via breakpoint
Agents Used
agents/swarm-coordinator/- Drift detection and correctionagents/tactical-queen/- Checkpoint enforcementagents/adaptive-queen/- Real-time course correction
Tool Use
Invoke via babysitter process: methodologies/ruflo/ruflo-swarm-coordination
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