# Anti Drift

> Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.

- Skill: `a5c-ai/anti-drift` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add a5c-ai/anti-drift`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/anti-drift/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/a5c-ai/anti-drift

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- Tasks with high risk of scope creep
- When multiple agents work on related subtasks
- Critical tasks where deviation is costly

## Anti-Drift Mechanisms

1. **Hierarchical Coordinator** - Queen agent validates alignment at checkpoints
2. **Frequent Checkpoints** - Every 2 subtasks (configurable)
3. **Shared Memory Coherence** - Validate all agents see consistent state
4. **Short Task Cycles** - Bounded execution windows prevent runaway agents
5. **Role Specialization** - Agents stay within their assigned scope

## Drift Scoring

- `0.0-0.1`: Fully aligned, no intervention needed
- `0.1-0.3`: Minor drift, automatic correction
- `0.3-0.5`: Significant drift, checkpoint correction with logging
- `0.5+`: Critical drift, human escalation via breakpoint

## Agents Used

- `agents/swarm-coordinator/` - Drift detection and correction
- `agents/tactical-queen/` - Checkpoint enforcement
- `agents/adaptive-queen/` - Real-time course correction

## Tool Use

Invoke via babysitter process: `methodologies/ruflo/ruflo-swarm-coordination`