context-health

Audit Imli context files for staleness, contradictions, bloat, and missing data.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/prince-khanna/claude-code-plugins --skill context-health
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-health
Source: https://github.com/prince-khanna/claude-code-plugins/tree/main/personal-assistant/skills/context-health
Command: npx skills add https://github.com/prince-khanna/claude-code-plugins --skill context-health

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audit and surface quality issues in Imli's local context so the assistant's memory and behavior remain accurate and relevant. The skill detects stale dates, contradictory rules, content bloat, missing profile or workflow sections, and out-of-sync aggregated rule files that cause generic or outdated responses.

Core Features & Use Cases

  • Timestamp and staleness checks across triggers, sessions, and projects to flag old or forgotten entries.
  • Bloat detection by counting lines and empty guide sections to prioritize cleanup effort.
  • Contradiction and gap analysis comparing preferences, rules, identity, and workflows to surface conflicts and missing data.
  • Sync verification between aggregated rule files and source context to recommend resynchronization.
  • System freshness checks that locate evolve platform capability references and evaluate last-audit and model-capability recency.
  • Use case: run after a major life change, before a planning session, or periodically to keep Imli's context lean and correct.

Quick Start

Ask the context-health audit to scan your Imli context, report the checklist results in a summary table, and provide prioritized remediation actions.

Frequently Asked Questions about context-health

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

FAQPage Schema
How do I audit personal assistant context files for staleness and bloat?

To audit personal assistant context files for staleness and bloat, run a context-health scan that performs timestamp checks, counts lines and empty sections, and cross-references rules to flag outdated or bloated entries. The scan generates a summary table with prioritized cleanup actions.

Why does my assistant give generic responses when my context files are large?

Generic responses often happen when context files contain bloat, contradictions, or out-of-sync aggregated rules. A context-health audit detects these issues by counting lines, verifying cross-file sync, and checking for empty guide sections, then recommends cleanup to restore specific, accurate responses.

When should I run a context audit on my local assistant files?

You should run a context audit periodically, after major life changes, or before planning sessions. The audit checks timestamp staleness across triggers, sessions, and projects, and verifies system freshness including model-capability recency, ensuring your assistant's memory remains accurate and relevant.

Can I check for contradictions and missing data across my assistant rules and preferences?

Yes, you can check for contradictions and missing data by running a context-health audit that compares preferences, rules, identity, and workflows. It performs cross-file sync verification and gap analysis to surface conflicts and missing profile or workflow sections.

What is the best way to clean up stale triggers and forgotten session entries in my context?

The best way to clean up stale triggers and forgotten session entries is to use an automated context audit that performs timestamp inspections across your local context files. It identifies old entries and produces a prioritized tabular summary for targeted remediation.