contexture python.instructions.md

Python coding and design guidance covering errors, resource handling, idioms, naming, file layout, and packaging.

In plain words
What is it for?
Use it while editing Python files to choose safer exception handling, manage resources with context managers, structure code, and follow consistent project conventions.
Why use it?
It helps avoid common Python problems such as swallowing interrupts, leaking files or connections, catching the wrong errors, and hiding the original cause of a failure.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/ackeskin/contexture/python
Clone the repo
git clone --depth 1 https://github.com/AcKeskin/contexture

Made for: GitHub Copilot.

Per session 1,121 This file is loaded in full into every session.
When invoked 1,121 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01121 $0.01121
Opus 5 $0.00561 $0.00561
Sonnet 5 $0.00224 $0.00224
Haiku 4.5 $0.00112 $0.00112

Measured yesterday against content hash 44fa0ba5c2f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

contexture 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 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.

.github/instructions/python.instructions.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

python rules

Auto-loaded by Copilot when editing files matching **/*.py. Generated from architectural-rules/python/ — do not hand-edit.

Python errors and resources

Catch the most specific exception type. Never a bare except: — it swallows SystemExit and KeyboardInterrupt. Use except Exception: only at a top-level boundary, and re-raise or log. Keep the try body minimal — only the line that can raise. A fat try block catches failures you didn't mean to catch. Manage resources (files, locks, connections) with with. Deterministic release at block exit — do not rely on __del__ or GC timing. Preserve context when re-raising: raise NewError(...) from err. Bare raise NewError(...) inside an except loses the original cause.

Why: a bare except turns Ctrl-C and clean shutdown into a hang, and GC-timed resource release leaks file handles under load. Source: Google Python Style Guide.

Python idioms

Prefer EAFP ("easier to ask forgiveness than permission") — try/except around the operation — over LBYL pre-checks where it reads cleaner and avoids time-of-check/time-of-use races. Use comprehensions for simple transforms: one for clause, at most one filter. If it needs more, use an explicit loop — readability beats density. Use implicit falsiness for emptiness (if not items:), but if x is None: for None — do not conflate None with empty or zero. Never use a mutable object ([], {}, set()) as a default argument — it is created once and shared across all calls. Default to None and construct inside the body.

Why: the mutable-default-argument trap is a silent shared-state bug that survives review; conflating None with falsy is the other classic Python footgun. Source: Google Python Style Guide.

Python naming and layout

Casing per PEP 8: snake_case for functions, variables, methods, modules; CapWords for classes and exceptions (suffix error types with Error); ALL_CAPS_WITH_UNDERSCORES for module-level constants. Packages are short, all-lowercase, no underscores. Mark non-public names with a single leading underscore (_internal). Reserve the double leading underscore (__x) for name-mangling to avoid subclass clashes — not as "more private". Never name anything l, O, or I — indistinguishable from 1 and 0 in many fonts. 4 spaces per indent level, never tabs (Python 3 forbids mixing). Two blank lines around top-level defs, one around methods. One import per line. Group standard-library, third-party, then local, separated by blank lines. Absolute imports over relative; never wildcard from x import *.

Read the full file on GitHub · 55 lines

Changes

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.

  1. yesterday First seen · 55 lines · 1,121 tokens per session scan A 44fa0ba5c2f2

Subscribe to this mod's changes

contexture python.instructions.md is an instructions file published in the GitHub repository AcKeskin/contexture (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,121 tokens to every session, about $0.0056 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.