monthly

monthly is a command for Cursor from juanje/agentic-buddy. It costs 0 tokens per session (43 once invoked), scanned A, original, MIT.

A command for running a deep monthly maintenance review of an agent's stored notes and structure. It checks how information is organized, whether ideas can be generalized, and whether instructions conflict.

In plain words
What is it for?
Use it for scheduled monthly cleanup of agent-memory files, instructions, and related project structure.
Why use it?
It helps find accumulated clutter, contradictions, and poorly organized information that can make future agent work less reliable.

Command for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/juanje/agentic-buddy/monthly
Clone the repo
git clone --depth 1 https://github.com/juanje/agentic-buddy

Made for: Cursor.

Wrote 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.

agentmods badge for monthly

README.md
[![agentmods](https://agentmods.dev/badge/commands/juanje/agentic-buddy/monthly.svg)](https://agentmods.dev/commands/juanje/agentic-buddy/monthly)
Your own site
<a href="https://agentmods.dev/commands/juanje/agentic-buddy/monthly"><img src="https://agentmods.dev/badge/commands/juanje/agentic-buddy/monthly.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 43 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00043
Opus 5 $0.00000 $0.00022
Sonnet 5 $0.00000 $0.00009
Haiku 4.5 $0.00000 $0.00004

Measured 5d ago against content hash 60dbdd37c89f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

monthly 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 5d 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.

.cursor/commands/monthly.md · 2 lines

What it actually says

Read agent_brain/skills/monthly-maintenance.md and execute all phases in order. This is the deep monthly maintenance cycle — depth-based reorganization, generalization, contradiction detection, and structural cleanup.

Changes

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.

  1. 5d ago First seen · 2 lines · 0 tokens per session scan A 60dbdd37c89f

Subscribe to this mod's changes

monthly is a command published in the GitHub repository juanje/agentic-buddy (12 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 43 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 2026-08-30.