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/SyntaxArc/archipy-pluginWrote 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/syntaxarc/archipy-plugin/python-code-style-for-apps)<a href="https://agentmods.dev/rules/syntaxarc/archipy-plugin/python-code-style-for-apps"><img src="https://agentmods.dev/badge/rules/syntaxarc/archipy-plugin/python-code-style-for-apps/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/syntaxarc/archipy-plugin/python-code-style-for-apps"><img src="https://agentmods.dev/badge/rules/syntaxarc/archipy-plugin/python-code-style-for-apps.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 | $0.00517 | $0.00517 |
| Opus 5.5 | $0.00207 | $0.00207 |
| Sonnet 5.5 | $0.00103 | $0.00103 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
python-code-style-for-apps 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 27d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Code Style for ArchiPy Apps
Follow the app's configured formatter/linter when stricter. Otherwise use these ArchiPy defaults:
- Python 3.14+ syntax:
X | Y,X | None,list[str],dict[str, int]. - Double quotes for all strings.
- Four-space indentation, 120-character maximum lines, final newline.
- Google-style docstrings on public functions, classes, and methods (
__init__may omit one). - Complete parameter and return annotations on public APIs.
Imports
Order sections:
from __future__ import ...- Standard library
- Third-party packages
archipy- App-local imports
Keep a blank line between sections. Move type-only imports under TYPE_CHECKING only when runtime frameworks do not
evaluate them; Pydantic field types must remain importable at runtime.
Errors
- Catch specific exceptions. Never use bare
except:. - Preserve context with
raise DomainError(...) from e. - Broad
except Exceptionbelongs only at an outer infrastructure boundary that maps failures to domain errors. - Never leak driver exceptions or internal error details through HTTP/gRPC responses.
Maintainability
- Keep McCabe complexity below 10 when the app uses ArchiPy's Ruff defaults.
- Prefer at most five function arguments; group cohesive inputs in DTOs/config objects.
- Run the repository's formatter, linter, and type checker after edits. Use its configured commands; do not assume the
ArchiPy library's
maketargets exist in consumer apps. - Reuse before writing: for dates/times, password hashing, JWT, TOTP, string normalization/masking, file-name checks,
and app bootstrap, use
archipy.helpers.utils(DatetimeUtils,PasswordUtils,JWTUtils,TOTPUtils,StringUtils,FileUtils,AppUtils) instead of stdlib/third-party code. Seeusing-archipy-utils.mdc. - DataFrames: use
polars(uv add polars), neverpandas. Prefer lazy frames (pl.scan_*,.lazy()….collect()) for large data. Keep DataFrame work in pure helpers or logics, not in services or DTOs.
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.
- 27d ago Changed · +6 lines · +149 tokens per session a33ca3f4c974
- 1mo ago First seen · 42 lines · 368 tokens per session scan A d19a3e164096
python-code-style-for-apps is a cursor rule published in the GitHub repository SyntaxArc/archipy-plugin (3 stars, last pushed 9d ago), licensed MIT. It adds 517 tokens to every session, about $0.0021 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 2026-09-08.
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