AgentX python.instructions.md

Production coding rules for Python, a programming language commonly used for services, scripts, and data work.

In plain words
What is it for?
Writing typed Python with PEP 8 style, Ruff, pytest, secure database queries, protected secrets, and specific error handling.
Why use it?
They prevent unsafe input handling, weak error reporting, inconsistent style, and poorly tested code.

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/jnpiyush/agentx/python
Clone the repo
git clone --depth 1 https://github.com/jnPiyush/AgentX

Made for: GitHub Copilot.

Per session 363 This file is loaded in full into every session.
When invoked 363 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 $0.00363 $0.00363
Opus 5 $0.00181 $0.00181
Sonnet 5 $0.00073 $0.00073
Haiku 4.5 $0.00036 $0.00036

Measured yesterday against content hash 5af236a0a001, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AgentX 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 · 43 lines

What it actually says

Python Instructions

Auto-loads when editing Python files. For comprehensive standards, load the skill.

Skill: .github/skills/languages/python/SKILL.md

Key Rules

  • Follow PEP 8 style guide
  • Use type hints for all function signatures (PEP 484)
  • Maximum line length: 88 characters (Black formatter)
  • Use ruff for linting and formatting
  • Google style docstrings
  • Catch specific exceptions, never bare except:
  • pytest for testing, pytest-asyncio for async
  • Name tests: test_function_name_scenario_expected

Critical Rules (Embedded -- Always Active)

Security

  • Validate/sanitize ALL inputs at API boundaries
  • Parameterize SQL via ORM or cursor.execute(sql, params) -- NEVER f-strings or .format()
  • Secrets in env vars (os.environ) or Key Vault -- NEVER hardcode
  • Use secrets.compare_digest() for constant-time comparisons

Testing

  • 80%+ code coverage required (pytest --cov)
  • Pyramid: 70% unit, 20% integration, 10% e2e
  • AAA pattern (Arrange-Act-Assert) in every test
  • No bare assert True -- assert specific values

Error Handling

  • Catch specific exceptions (ValueError, KeyError, etc.)
  • Log with context: logger.error("msg", extra={"agent": ..., "issue": ...})
  • Retry transient failures with exponential backoff (tenacity)
  • Fail fast on invalid input at module boundaries
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 · 43 lines · 363 tokens per session scan A 5af236a0a001

Subscribe to this mod's changes

AgentX python.instructions.md is an instructions file published in the GitHub repository jnPiyush/AgentX (15 stars, last pushed 5d ago), licensed Apache-2.0. It adds 363 tokens to every session, about $0.0018 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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