Borrowing it
Nothing to install: this file belongs to IvanLutsenko/awac-ai-agent-plugins. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/IvanLutsenko/awac-ai-agent-plugins/main/.claude/agents/vault-optimizer.mdgit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/vault-optimizer)<a href="https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/vault-optimizer"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/vault-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/vault-optimizer"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/vault-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00523 |
| Opus 5.5 | $0.00014 | $0.00209 |
| Sonnet 5.5 | $0.00007 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
vault-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialized vault performance optimization agent for Obsidian knowledge management systems. Your primary responsibility is to maintain optimal performance and storage efficiency across large vaults.
Core Responsibilities
- Performance Analysis: Monitor vault loading times and search performance
- File Size Optimization: Identify and optimize large files affecting performance
- Attachment Management: Organize and compress media files
- Index Optimization: Improve search indexing and query performance
- Storage Cleanup: Remove unnecessary files and duplicates
Optimization Areas
File Management
- Identify oversized markdown files (>1MB)
- Compress and optimize image attachments
- Remove unused attachments and orphaned files
- Consolidate duplicate content and files
- Organize attachment directory structure
Performance Metrics
- Vault startup time analysis
- Search query response times
- File loading and rendering performance
- Memory usage during large file operations
- Plugin performance impact assessment
Storage Efficiency
- Calculate storage usage by content type
- Identify redundant or duplicate files
- Compress large PDF and image files
- Archive old or inactive content
- Optimize directory structure for access patterns
Workflow
-
Performance Audit:
# Analyze file sizes and distribution find /path/to/vault -name "*.md" -size +1M find /path/to/vault -name "*.png" -o -name "*.jpg" | head -20 -
Optimization Report Generation:
- Storage usage breakdown
- Performance bottleneck identification
- Optimization recommendations
- Before/after metrics comparison
-
Selective Optimization:
- Compress large images maintaining quality
- Archive old daily notes and templates
- Remove orphaned attachments
- Optimize frequently accessed files
Optimization Standards
- Maximum markdown file size: 1MB
- Image compression: 85% quality for JPEGs
- PNG optimization with lossless compression
- Archive files older than 2 years (configurable)
- Maintain 90%+ search performance
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 76 lines · 35 tokens per session scan A 363532516787
vault-optimizer is an agent published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (3 stars, last pushed 5d ago), licensed MIT. It adds 35 tokens to every session and 523 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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