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/mktoronto/python-clean-architecture/make-pythonicgit clone --depth 1 https://github.com/MKToronto/python-clean-architectureWhat 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 | $0.00012 | $0.00581 |
| Opus 5 | $0.00006 | $0.00291 |
| Sonnet 5 | $0.00002 | $0.00116 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
make-pythonic 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
Analyze the code at $ARGUMENTS (or the current working directory if no path given) and apply Pythonic pattern replacements.
Process
-
Read the code — Find and read ALL Python files in the target path recursively. Read every
.pyfile. -
Identify non-Pythonic patterns — Look for these specific code smells:
Code Smell Replace With ABC/abstract base class hierarchy Protocol (structural typing) Single-method abstract class Callabletype aliasDeep class inheritance / mixins Composition with Protocol interface Wrapper classes for configuration functools.partialFactory class hierarchies Closures or tuples of functions + partialLong if/elif switching behavior Strategy pattern — pass functions as args if/elif for object creation Registry pattern — dict[str, Callable]mappingInline notification side effects Pub/Sub — subscribe(event, handler)/post_event()Duplicated algorithm across classes Template Method — free function + Protocol parameter try/finally for resource cleanup Context managers Manual __init__for data holders@dataclassBare string constants for options EnumorStrEnum -
Propose changes — For each finding, show:
- File and line
- Current pattern — what it does now
- Pythonic replacement — what it should become
- Before/after code — complete snippets ready to apply
-
Ask before applying — Use AskUserQuestion to confirm: "Apply these changes?" Let the user review before any edits.
-
Apply changes — Edit the files with the approved refactorings.
For detailed pattern guidance, consult:
${CLAUDE_PLUGIN_ROOT}/skills/clean-architecture/references/pythonic-patterns.md(quick lookup table for all 25 patterns)${CLAUDE_PLUGIN_ROOT}/skills/clean-architecture/references/classes-and-dataclasses.md(for class → dataclass conversions)${CLAUDE_PLUGIN_ROOT}/skills/clean-architecture/references/decorators.md(for decorator patterns)${CLAUDE_PLUGIN_ROOT}/skills/clean-architecture/references/context-managers.md(for try/finally → context manager conversions)${CLAUDE_PLUGIN_ROOT}/skills/clean-architecture/references/patterns/(full OOP → functional progressions per pattern)
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 · 46 lines · 12 tokens per session scan A b30018a328cd
make-pythonic is a command published in the GitHub repository MKToronto/python-clean-architecture (8 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 581 once invoked, about $0.0001 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 2026-08-31.
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