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 commands/iloveitaly/llm-ide-rules/python-commandgit 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 | $0.00040 |
| Opus 5 | $0.00000 | $0.00020 |
| Sonnet 5 | $0.00000 | $0.00008 |
| Haiku 4.5 | $0.00000 | $0.00004 |
Grade A, and why
python-command 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
Python Command
- we don't have to put everything in a single perform. You can use helper functions. Can you modularize the code a bit and use helper functions so it's easier to read?
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 · 4 lines · 0 tokens per session scan A 9a94aa77c92c
python-command is a command published in the GitHub repository iloveitaly/llm-ide-rules (13 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 40 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.
Other commands, from other repositories
code-review
Perform a thorough code review that verifies functionality, maintainability, and security before approving a change. Focus on architecture, readability, performance implications, and provide actionable suggestions for improvement.
add-documentation
Add comprehensive documentation for the current code/feature and format it according to the project's documentation standards, including it in the appropriate location (README, docs folder, or inline comments).
add-error-handling
Implement comprehensive error handling for the current code to make it robust and resilient to failures while maintaining good user experience.
optimize-performance
Analyze the current code for performance bottlenecks and provide optimization recommendations, focusing on measurable improvements while maintaining code quality and readability.
write-unit-tests
Create comprehensive unit tests for the current code and generate the test file with proper imports and setup according to the project's testing conventions.
project-overview
High-level overview of the project to help quickly understand what it is, how it is structured, and how to run it locally.