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.
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globalsWrote 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/rules/m3taz-ahmed/ai-globals/aizee)<a href="https://agentmods.dev/rules/m3taz-ahmed/ai-globals/aizee"><img src="https://agentmods.dev/badge/rules/m3taz-ahmed/ai-globals/aizee/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/rules/m3taz-ahmed/ai-globals/aizee"><img src="https://agentmods.dev/badge/rules/m3taz-ahmed/ai-globals/aizee.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 | $0.03096 | $0.03096 |
| Opus 5.5 | $0.01238 | $0.01238 |
| Sonnet 5.5 | $0.00619 | $0.00619 |
| Haiku 4.5 | $0.00310 | $0.00310 |
Grade A, and why
aizee 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 19d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- windsurfrules — 88% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aiZee — Global Bootloader
-
Root: discovered via
AIZEE_ROOTenv orconfig.discover_root()(no hardcoded path). -
Set
AIZEE_ROOTif not already set. UsePYTHONIOENCODING=utf-8on Windows. -
This file is the canonical root pointer. All other OS files discover the root via
AIZEE_ROOTorconfig.discover_root()and are loaded relative to it.
Working Directory [DIR-01]
-
Working directory: D:\server.ai ONLY. All edits, new files, and modifications go here.
-
D:\server\aizee is READ-ONLY. Never edit files in aizee directly. It is the deployment/usage folder, updated only via the batch update script. If you need to sync changes from .ai to aizee, use the batch script.
-
When the IDE opens files from aizee, copy them to .ai first, edit in .ai, then sync back via the batch script.
Cold Start
-
Read
global-roles.md,global-workflow.md, andMemory.md. -
Detect personas with
aizee persona detect --multiand load the returnedskills/before acting.Persona switch directive (mandatory): If the user message STARTS with a persona command —
#انتحل,/انتحل,#reset,/reset,#persona,/persona,#redetect,#switch(or Arabic#شخصيات,/شخصيات,#بدّل,/بدّل,#حالة,/حالة,#مين,/مين,#معلومات,/معلومات) — strip the command token, then runaizee persona detect --multi "<remaining text>"and ADOPT the returned primary + secondary personas and load theirskills/+lords/before acting. For status commands (#حالة,/status,#مين,/معلومات) print the currently active persona set instead of acting. This makes persona adoption explicit and verifiable; never silently ignore these commands. -
If the current project has
spec.md, read it before any action.
Runtime Gate
-
Route every action through
runtime/kernel.py. -
Use
aizee check <action> --args '{"tokens":N}'orKernel.actto validate policy + budget. -
No destructive action without explicit user approval.
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.
- 19d ago Changed 90e6edee897c
- 21d ago Changed · +2 lines · +140 tokens per session a352ac966c09
- 25d ago Changed · +351 lines · +2,040 tokens per session fff751875073
- 1mo ago First seen · 56 lines · 916 tokens per session scan A c1c1aaf7c804
aizee is a cursor rule published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed 5d ago), licensed MIT. It adds 3,096 tokens to every session, about $0.0124 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.
Other cursor rules, from other repositories
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
prefer-assertions-over-defensive-checks
Prefer assertions over defensive checks when data is guaranteed to be valid.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
config-validation-and-normalization
Config validation and normalization responsibilities (defineConfig normalizes, the orm section schema validates and resolves paths, the loader reports per-section diagnostics).