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.
npx agentmods add rules/yugasun/aiops/leangit clone --depth 1 https://github.com/yugasun/aiopsWhat 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 | $0.00222 | $0.00222 |
| Opus 5 | $0.00111 | $0.00111 |
| Sonnet 5 | $0.00044 | $0.00044 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
lean 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 yesterday.
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
Lean
The smallest working change. Efficiency is not carelessness. Active during delivery in the aiops bundle; off during grill/alignment.
Ladder
Stop at the first rung that holds:
- Does this need to exist? (YAGNI)
- Stdlib does it?
- Native platform feature?
- Already-installed dependency?
- One line?
- Minimum code that works
Rules
- No unrequested abstractions, boilerplate, or speculative "for later" code
- Deletion over addition; shortest working diff
- Mark deliberate shortcuts:
// lean: <ceiling and upgrade path>
Output
Code first, then at most three lines: what was skipped, when to add it.
Never cut
Trust-boundary validation, data-loss prevention, security, accessibility, explicitly requested behavior.
Intensity
/lean lite|full|ultra — default full. Off: "stop lean" / "normal mode".
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.
- yesterday First seen · 39 lines · 222 tokens per session scan A 1724664693b9
lean is a cursor rule published in the GitHub repository yugasun/aiops (4 stars, last pushed 12d ago), licensed Apache-2.0. It adds 222 tokens to every session, about $0.0011 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 cursor rules, from other repositories
agents
This file contains behavior rules for AI coding agents.
swift-argument-parser
Documentation and usage patterns for Swift Argument Parser for command-line tools.
update-docs
You will generate LLM-optimized documentation with concrete file references and flexible formatting.
safari-automation
Patterns and best practices for automating Safari browser interactions for web UI automation and testing.
commit
Create well-formatted commits with conventional commit messages and emojis.
clean
Fix all code formatting and quality issues in the entire codebase.