aim-status

name	aim-status
description	Check AI Memory system status
trigger	/aim-status
allowed-tools	Bash

Check AI Memory module health, statistics, and system state.

Canonical Execution

Always run the real script through run-with-env.sh so the skill uses the installed ai-memory virtualenv and the standard local service defaults.

"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" aim_status.py

When working from an ai-memory repo checkout, ./scripts/memory/run-with-env.sh ... is an equivalent contributor shortcut.

Examples

Run one command at a time as needed:

"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" aim_status.py --section sync
"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" aim_status.py --section freshness
"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" aim_status.py --section decay
"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" aim_status.py --section flags

Implementation

• Script: scripts/memory/aim_status.py
• Output budget: < 2K tokens
• Behavior: section-aware status report with graceful fallback when services or data are unavailable

Activation

/aim-status

/aim-status --section sync
/aim-status --section freshness
/aim-status --section decay
/aim-status --section flags

Output Sections

Health

Shows service availability for Qdrant, Embedding service, and Monitoring API.

Collections

Point counts per collection:

• code-patterns - Project-specific implementation patterns
• conventions - Cross-project shared conventions
• discussions - Decision context and session summaries

Services

Detailed service status with port numbers.

Sync Status

GitHub synchronization state from the shared install state file in ~/.ai-memory/github-state/ for the current repo:

• Last sync time (with relative time)
• Items synced (with breakdown by type)
• Error count
• GitHub Sync enabled/disabled

Fallback: "No sync history found" if state file doesn't exist.

Freshness Summary

Code-patterns freshness classification from run_freshness_scan():

• Fresh - Content matches, low commit activity
• Aging - Some commit activity since stored
• Stale - Significant commit activity
• Expired - High activity or content changed

Fallback: "Freshness scan unavailable" if no git context.

Decay Distribution

Temporal decay score distribution from a 50-vector sample per collection. Decay formula: temporal_score = 0.5 ^ (age_days / half_life) Bucketed into 5 bands: 0.8-1.0 (fresh), 0.6-0.8 (recent), 0.4-0.6 (aging), 0.2-0.4 (old), 0.0-0.2 (stale).

Fallback: "Decay distribution unavailable" if sampling fails.

System Flags

Key feature toggles from configuration:

• Auto-update: auto_update_enabled
• Freshness: freshness_enabled
• GitHub Sync: github_sync_enabled
• Parzival: parzival_enabled

Notes

• Output budget: < 2K tokens total
• Each section handles graceful fallback when data unavailable
• Qdrant connection uses port 26350 with API key authentication
• Metrics pushed via push_skill_metrics_async on completion