Agent-Skills.md

Agent Skills: anti-drift

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

UncategorizedID: a5c-ai/babysitter/anti-drift

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
1,52087

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/methodologies/ruflo/skills/anti-drift

Skill Files

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library/methodologies/ruflo/skills/anti-drift/SKILL.md

Skill Metadata

Name
anti-drift
Description
Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
  • 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