agentmods.dev

agentpool copilot-instructions.md

A set of project rules for Python code style, automated tests, and documentation comments.

In plain words
What is it for?
Use it when writing or reviewing Python code, PyTest tests, and Google-style docstrings in the project.
Why use it?
It gives contributors one shared standard for how Python 3.13 code should be written and checked. This reduces inconsistent formatting, test structure, and documentation.

Instructions file for GitHub Copilot

184 4mo ago A scan 140 tokens original MIT
View the source file phil65/agentpool
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/phil65/agentpool/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/phil65/agentpool

Made for: GitHub Copilot.

Per session 140 This file is loaded in full into every session.
When invoked 140 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 $0.00140 $0.00140
Opus 5 $0.00070 $0.00070
Sonnet 5 $0.00028 $0.00028
Haiku 4.5 $0.00014 $0.00014

Measured yesterday against content hash cdca7cc563a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentpool copilot-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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.github/copilot-instructions.md · 20 lines

What it actually says

Code style

You can assume Python 3.13. Use newest language features if possible Consider using pattern matching, walrus operators and other new syntax features. Adhere to pep8.

Tests

Tests are written using PyTest. Dont put tests into a class.

DocStrings

DocStrings are written in google-style. Dont add the types to the "Args" section. Only add a Return section if a value is returned and the meaning of the returned value is not obvious. You can use markdown admonitions with python-markdown syntax if neccessary (!!! info, !!! note, !!! warning). You can use markdown tables and markdown lists if neccessary.

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 · 20 lines · 140 tokens per session scan A cdca7cc563a1

Subscribe to this mod's changes

agentpool copilot-instructions.md is an instructions file published in the GitHub repository phil65/agentpool (184 stars, last pushed 4mo ago), licensed MIT. It adds 140 tokens to every session, about $0.0007 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.

Data and AILLMTestingWriting and docsagentaillm-agentpydanticyaml
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