Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/andiupn/andy-universal-agent-rulesnpx agentmods add commands/andiupn/andy-universal-agent-rules/maintenanceWrote 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/commands/andiupn/andy-universal-agent-rules/maintenance)<a href="https://agentmods.dev/commands/andiupn/andy-universal-agent-rules/maintenance"><img src="https://agentmods.dev/badge/commands/andiupn/andy-universal-agent-rules/maintenance/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/commands/andiupn/andy-universal-agent-rules/maintenance"><img src="https://agentmods.dev/badge/commands/andiupn/andy-universal-agent-rules/maintenance.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 | $0.00000 | $0.00206 |
| Opus 5.5 | $0.00000 | $0.00082 |
| Sonnet 5.5 | $0.00000 | $0.00041 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
maintenance 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.
What it actually says
Maintenance Workflow
Run routine maintenance on the AI knowledge base system.
What This Does
- Validates knowledge base index integrity
- Creates backup of current knowledge
- Updates environment detection
- Tests search functionality
- Reviews gotchas for relevance
Commands to Run
# 1. Validate index
python .agent/scripts/validate-index.py --report
# If errors found:
python .agent/scripts/validate-index.py --fix
# 2. Create backup
python .agent/scripts/backup-memory.py
# 3. Update environment
python .agent/scripts/detect-environment.py
# 4. Test search
python .agent/scripts/search-knowledge.py "test" --limit 3
Checklist
- Index validated (no errors)
- Backup created
- Environment updated
- Search working
- Gotchas reviewed
Use: Type /maintenance in Cursor Chat
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 · 43 lines · 0 tokens per session scan A dd661fba5f3b
maintenance is a command published in the GitHub repository andiupn/andy-universal-agent-rules (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 206 tokens. 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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