Borrowing it
Nothing to install: this file belongs to jonathan-vella/apex-accelerator. 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/jonathan-vella/apex-accelerator/main/.github/instructions/python.instructions.mdgit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/instructions/jonathan-vella/apex-accelerator/python)<a href="https://agentmods.dev/instructions/jonathan-vella/apex-accelerator/python"><img src="https://agentmods.dev/badge/instructions/jonathan-vella/apex-accelerator/python/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/instructions/jonathan-vella/apex-accelerator/python"><img src="https://agentmods.dev/badge/instructions/jonathan-vella/apex-accelerator/python.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 | $0.00528 | $0.00528 |
| Opus 5.5 | $0.00211 | $0.00211 |
| Sonnet 5.5 | $0.00106 | $0.00106 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
apex-accelerator 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 6d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Guidelines
Repository-specific rules for Python tooling. Target Python 3.14 (requires-python >=3.14)
with Ruff for linting and formatting; Ruff owns general style.
Project Context
Python is used for:
- Architecture diagrams —
diagramslibrary scripts inagent-output/and.github/skills/ - Tooling —
tools/apex-recall/, governance discovery scripts, and diagram verification
Style & Formatting
- Ruff config lives in root
pyproject.toml(format, lint rules E, W, F, I, B, C4, UP, SIM, 120-character lines). Runruff formatandruff checkrather than restating style rules. - Type hints: use for function signatures. Root
pyproject.tomlconfigures Python/Ruff, not a type-checking mode; inspect the applicable package/editor configuration before claiming a Pyright/Pylance level is enforced. - Prefer
pathlib.Pathin new code; existing scripts may useos.path.
Package Management
- Use
uv(Astral) as the package manager — installed in devcontainer - Root dependency names and pins are authoritative in
requirements.txt; package-specific dependencies belong in that package's manifest, not a duplicated prose inventory.
Diagram Scripts
Follow the existing pattern for architecture diagram generation:
"""Brief description of what the diagram shows."""
from diagrams import Cluster, Diagram
from diagrams.azure.compute import AppServices
from diagrams.azure.network import FrontDoors
with Diagram("Diagram Title", show=False, filename="output-name", direction="TB"):
with Cluster("Resource Group"):
# Resources...
pass
- Always set
show=Falseto prevent auto-opening - Use
direction="TB"(top-to-bottom) for consistency - Group resources in
Clusterblocks matching Azure resource groups - Set explicit
filenameparameter to control output location
Testing
- Test framework:
pytest(in rootrequirements.txt); no async or mock plugins are installed, so useunittest.mockand synchronous tests unless a package adds its own. - Tests sit next to the code they cover:
test_*.pybeside skill scripts,tools/apex-recall/tests/, andtools/tests/python-diagrams/.
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.
- 6d ago Changed · +1 lines · +5 tokens per session 27918c07ed3e
- 1mo ago Changed · -11 lines · -65 tokens per session f65e52ee9d05
- 1mo ago Changed · +2 lines · +29 tokens per session d4e62cafc2b0
- 1mo ago First seen · 69 lines · 559 tokens per session scan A 33b12b828b3e
apex-accelerator python.instructions.md is an instructions file published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed yesterday), licensed MIT. It adds 528 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 2026-08-30.
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