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 instructions/iloveitaly/llm-ide-rules/pythongit 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 | $0.00756 | $0.00756 |
| Opus 5 | $0.00378 | $0.00378 |
| Sonnet 5 | $0.00151 | $0.00151 |
| Haiku 4.5 | $0.00076 | $0.00076 |
Grade A, and why
llm-ide-rules python.instructions.md 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python
When writing Python:
- Assume the latest python, version 3.13.
- Prefer Pathlib methods (including read and write methods, like
read_text) overos.path,open,write, etc. - docstrs and comments:
- If a docstring needs formatting, use markdown. Use Google Style.
- Prefer docstr to multi-line comments at the top of a function or file.
- If a docstr does not span multiple lines, do not use triple-quoted strings.
- Add a newline after
"""when using triple-quoted docstrings. - If a comment or docstr is a single line, do not end it in a period.
- Do not create
__init__files unless specifically instructed - Use Pydantic models over dataclass or a typed dict.
- Use SQLAlchemy for generating any SQL queries.
- Use
clickfor command line argument parsing. - Use
log.info("the message", the_variable=the_variable)instead oflog.info("The message: %s", the_variable)orprintfor logging. This object can be found atfrom app import log.- Log messages should be lowercase with no leading or trailing whitespace.
- No variable interpolation in log messages.
- Do not coerce database IDs, dates, or Path objects to
str
- Do not fix import ordering or other linting issues.
- Never edit or create any files in
migrations/versions/ - Place all comments on dedicated lines immediately above the code statements they describe. Avoid inline comments appended to the end of code lines.
- Do not
try/catchrawExceptionsunless explicitly told to. Prefer to let exceptions raise and cause an explicit error. - Always make an explicit copy before mutating a dictionary that you did not create in the current narrow scope.
- Never use
from __future__ - Always use
re.compile(pattern, re.VERBOSE)and inline#comments to document the logic of each capture group or condition in any complex regular expression. - IMPORTANT never edit app/generated/ files. These are autogenerated.
Package Management
- Use
uv addto add python packages. No need forpip compile,pip install, etc.
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.
- 2d ago First seen · 73 lines · 756 tokens per session scan A dbd7646d523e
llm-ide-rules python.instructions.md is an instructions file published in the GitHub repository iloveitaly/llm-ide-rules (13 stars, last pushed 2d ago), licensed MIT. It adds 756 tokens to every session, about $0.0038 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 2026-08-30.
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