Borrowing it
Nothing to install: this file belongs to PralhadYadawad/avvarre. 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/PralhadYadawad/avvarre/master/.claude/commands/avvarre-garden.mdgit clone --depth 1 https://github.com/PralhadYadawad/avvarreWrote 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/pralhadyadawad/avvarre/avvarre-garden)<a href="https://agentmods.dev/commands/pralhadyadawad/avvarre/avvarre-garden"><img src="https://agentmods.dev/badge/commands/pralhadyadawad/avvarre/avvarre-garden/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/pralhadyadawad/avvarre/avvarre-garden"><img src="https://agentmods.dev/badge/commands/pralhadyadawad/avvarre/avvarre-garden.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 | $0.00030 | $0.00242 |
| Opus 5 | $0.00015 | $0.00121 |
| Sonnet 5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
avvarre:garden 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 11d 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
/avvarre:garden
Audit the workspace persistent memory folders (.avvarre/) to detect context drift, conventions mismatch, and stalled task lists.
Instructions
- Use the
avvarre_gardenMCP tool with the current workspace directory. - Present the results:
- If there is stale context, show the mismatches found in
context.md(e.g. tech stack drift, directory mismatches). - If there are broken conventions, show the files violating conventions.
- If there are stale tasks, list the tasks that need updating or archiving (flag in-progress tasks older than 7 days, pending tasks older than 30 days).
- If the session log has no entries in the last 7 days, flag it as stale.
- Show the gardening suggestions directly to the user.
- If there is stale context, show the mismatches found in
- Offer to automatically apply the suggestions to update the files in
.avvarre/if requested.
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.
- 11d ago First seen · 20 lines · 30 tokens per session scan A 69b7e4da5afd
avvarre:garden is a command published in the GitHub repository PralhadYadawad/avvarre (4 stars, last pushed 15d ago), licensed MIT. It adds 30 tokens to every session and 242 once invoked, about $0.0002 per session on Opus 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.
Other commands, from other repositories
aim-extract
Extract reusable project decisions, rules, schemas, or patterns into memory or docs.
aim-init
Initialize and sync the AIM project workspace context.
claudehut-learning-report
Show the ClaudeHut learning scoreboard — measured memory health (store size, reinforcement, effectiveness/recurrence, quality) so you can tell whether the agent is actually getting smarter across sessions. One-shot, read-only.
project
Generate project documentation (product.md, structure.md, tech.md, codemaps/).
review
Code review with security and @MX tag compliance check.
iai-directive
Record, list, or remove a standing order the user typed themselves.