Borrowing it
Nothing to install: this file belongs to jenreh/appkit-bpmn-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jenreh/appkit-bpmn-server/main/.github/skills/writing-python-code/SKILL.mdgit clone --depth 1 https://github.com/jenreh/appkit-bpmn-serverWrote 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/skills/jenreh/appkit-bpmn-server/writing-python-code)<a href="https://agentmods.dev/skills/jenreh/appkit-bpmn-server/writing-python-code"><img src="https://agentmods.dev/badge/skills/jenreh/appkit-bpmn-server/writing-python-code/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/skills/jenreh/appkit-bpmn-server/writing-python-code"><img src="https://agentmods.dev/badge/skills/jenreh/appkit-bpmn-server/writing-python-code.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 | $0.00056 | $0.00912 |
| Opus 5.5 | $0.00022 | $0.00365 |
| Sonnet 5.5 | $0.00011 | $0.00182 |
| Haiku 4.5 | $0.00006 | $0.00091 |
Grade A, and why
writing-python-code 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 1mo 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.
This is a copy
91% identical to writing-python-code — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Python Code
Quick reference
- Python 3.13 only; deps via uv; line length 88 chars (Ruff/Black).
- No f-strings in logger calls — use
log.info("x: %s", val). - Type annotations on every function and method.
- Files ≤ 1000 lines — refactor via Extract Class, Mixins, Strategy, etc.
- Coverage ≥ 80% for non-Reflex classes and Reflex State classes.
- Task runner:
task format,task lint,task test(notmake).
Code style
Logging
import logging
log = logging.getLogger(__name__)
log.info("Loaded items: %d", count) # ✅ parameterized
# log.info(f"Loaded items: {count}") # ❌ f-string
Never use print or printf. Log levels: debug → internal state, info → milestones, warning → recoverable, error → serious.
Type hints
def process(data: dict[str, Any], count: int = 0) -> list[str]: ...
async def handler(value: str) -> AsyncGenerator[Any, Any]:
yield
- Do not mix
Literal[...]withstr— pick one. - Remove unused imports immediately (F401).
- Remove unused args or prefix with
_(ARG001).
Imports & formatting
- Ruff handles lint + format; run
task formatbefore committing. - Break long calls/strings to fit 88 chars.
File size rule
No Python file may exceed 1000 lines. When approaching the limit, apply clean code refactoring strategies.
Design patterns & refactoring strategies: See references/clean-code.md.
Testing
Coverage target: ≥ 80% for services, repositories, models, utilities, and Reflex State classes. UI component rendering is best-effort.
task test # full suite with coverage
uv run pytest tests -k assistant # targeted
uv run pytest tests -x # stop on first failure
Test patterns, fixtures, Reflex State testing: See references/testing.md.
Security & config
- No credentials in code/history; use
.envlocally, Key Vault in prod. - Access Pydantic
SecretStrvia.get_secret_value(). - Parameterized logs; avoid sensitive values.
- Use
appkit_commons.database.session_manager.get_session_manager().session()for DB access outside Reflex handlers (notrx.session()).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 112 lines · 56 tokens per session scan A 970c2fada253
writing-python-code is a skill published in the GitHub repository jenreh/appkit-bpmn-server (0 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 912 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to writing-python-code, differing in 22 lines, and is treated as a copy.
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