anti-drift
SkillDocs & knowledgeLets your agent stay on task during long multi-step work by checking progress against a plan at frequent checkpoints.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the anti-drift skill
About this capability
Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/methodologies/ruflo/skills/anti-drift/SKILL.md and read by ahel’s review.
- 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
Signals
- GitHub stars
- 2k
- Forks
- 106
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
anti-drift- Source
- github.com/a5c-ai/babysitter