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/iloveitaly/llm-ide-rules/python-appgit clone --depth 1 https://github.com/iloveitaly/llm-ide-rulesWhat 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 | $0.00000 | $0.01296 |
| Opus 5 | $0.00000 | $0.00648 |
| Sonnet 5 | $0.00000 | $0.00259 |
| Haiku 4.5 | $0.00000 | $0.00130 |
Grade A, and why
python-app 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python App
app/lib/is for code that is not specified to this application and with some effort could extracted into a external package.app/helpersis for larger reusable modules that if they weren't specific to this application, could be extracted into their own package.app/utilsare small helper functions that are specific to a particular page or area of the application.app/__init__.pyis the entrypoint for the application which is run when anything is executed (fastapi, celery, etc).- It primarily runs
configure_*commands for anyapp.configuration.*modules. These modules primary setup API clients, database connections, python language configuration, etc. - Also makes sure anything that mutates global state loads early.
- It primarily runs
- FastAPI server and routes are specified in
app/routes/ - SQLModels are specified in
app/models/ - Files within
app/commands/should have:- Are not designed for CLI execution, but instead are interactor-style internal commands.
- Should not be used on the queuing system
- A
performfunction that is the main entry point for the command. - Look at existing commands for examples of how to structure the command.
- Use
TypeIDfor any parameters that are IDs of models.
- Files within
app/jobs/should have:- Are designed for use on the queuing system.
- A
performfunction that is the main entry point for the job. - Look at existing jobs for examples of how to structure the job.
- Use
TypeID | strfor any parameters that are IDs of models.
- When referencing a command, use the full-qualified name, e.g.
app.commands.transcript_deletion.perform. - When queuing a job or
performing it in a test, use the full-qualified name, e.g.app.jobs.transcript_deletion.perform. app/cli/is for scripts or CLI tools that are specific to the application.
Factories
globs: app/factories/**/.py
- Each model should get it's own file under app/factories/model_name.py
ActiveModelFactory(which is a polyfactory subclass) should be used.- Use
BaseFactory.__faker__to generate more specific fake data for important fields (used in routes, etc) - Prefer
slug = BaseFactory.__faker__.unique.slugtoslug = Use(lambda: BaseFactory.__faker__.unique.slug())
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 · 120 lines · 1,296 tokens per session scan A aef4b52e23b3
python-app is a cursor rule published in the GitHub repository iloveitaly/llm-ide-rules (13 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,296 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.
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