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context-integrity

Detect and repair context drift in AI coding sessions.

51|17|Updated Feb 10, 2026
Search Tags:#context management#prompt engineering#drift detection#coding assistant#ai session#state repair
One-click install
npx skills add https://github.com/shynlee04/hivemind-plugin --skill context-integrity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-integrity
Source: https://github.com/shynlee04/hivemind-plugin/tree/main/skills/context-integrity
Command: npx skills add https://github.com/shynlee04/hivemind-plugin --skill context-integrity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill prevents AI agents from losing track of their current task, decisions, and overall context during long or complex coding sessions, ensuring consistent and accurate progress.

Core Features & Use Cases

  • Drift Detection: Automatically identifies when the AI's understanding of the context has degraded.
  • Context Repair: Provides mechanisms to restore and re-align the AI's context after drift or compaction.
  • Session Survival: Implements patterns like Anchors and Mems to ensure critical information persists across compactions and session boundaries.
  • Use Case: When an AI agent starts generating code for a feature it was not assigned to, or forgets the architectural decisions made earlier in the session, this Skill intervenes to bring it back on track.

Quick Start

Use the context-integrity skill to scan the current hierarchy and update the context to reflect the active action.

Frequently Asked Questions about context-integrity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent context drift in AI coding sessions?▼

To prevent context drift in AI coding sessions, you can use automatic detection mechanisms to monitor hierarchy staleness, chain breaks, and context decay, then apply repair patterns to restore the AI's understanding of the active task.

How do I restore AI context after compaction or session gaps?▼

You can restore AI context by scanning the current hierarchy and applying context repair mechanisms to re-align the AI's state, ensuring consistent progress when resuming work after gaps or recovering from user-induced context changes.

Why does my coding assistant forget architectural decisions and generate unrelated features?▼

Your coding assistant forgets architectural decisions due to context decay and hierarchy staleness, requiring automatic drift detection and repair mechanisms to intervene and bring the AI back on track.

Can I automatically detect when my AI agent loses track of its current task?▼

Yes, you can automatically detect when your AI agent loses track by monitoring for chain breaks and context decay, which triggers repair mechanisms to re-align the session state with the active action.

What are the limitations of automatic context repair for coding assistants?▼

Automatic context repair relies on detecting hierarchy staleness and chain breaks, but may require manual scanning to update the context to reflect the active action if the context decay is induced by unpredictable user changes.

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