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.
npx agentmods add instructions/drewsonne/ruff-mcp-server/copilot-instructionsgit clone --depth 1 https://github.com/drewsonne/ruff-mcp-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/instructions/drewsonne/ruff-mcp-server/copilot-instructions)<a href="https://agentmods.dev/instructions/drewsonne/ruff-mcp-server/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/drewsonne/ruff-mcp-server/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00417 | $0.00417 |
| Opus 5 | $0.00209 | $0.00209 |
| Sonnet 5 | $0.00083 | $0.00083 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
ruff-mcp-server 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 3d 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.
What it actually says
GitHub Copilot Instructions
These instructions guide GitHub Copilot to generate consistent, idiomatic code for this Python project.
🧪 Tests
- Use pytest.
- Follow the GIVEN / WHEN / THEN structure in all tests.
- Use
assertstatements for validation. - Group related setup under
# GIVEN. - The action being tested goes under
# WHEN. - Assertions and expectations go under
# THEN. - Always place imports inside test functions — this ensures proper load order and test isolation.
Example:
def test_user_creation():
# GIVEN
# a user data payload
from myapp.users import create_user
user_data = {"name": "Alice", "email": "[email protected]"}
# WHEN
# we create the user
user = create_user(user_data)
# THEN
# the user is stored with correct attributes
assert user.name == "Alice"
assert user.email == "[email protected]"
📦 Project Structure
- Source code lives in the
src/directory. - Tests live in the
tests/directory, mirroring the source layout.
✅ Style & Linting
- Follow PEP8.
- Linting is enforced by Ruff.
- Do not use
assertin production code — raise exceptions instead.
🧩 Type Hints
- The project must be fully typed.
- Use Python type hints (
str,int,Optional[...], etc.) in all functions, classes, and variables where applicable. - All public APIs must have complete type annotations.
- Use
mypyto enforce type checking.
💡 Docstrings
- Use Google-style docstrings for all public functions, methods, and classes.
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.
- 3d ago First seen · 55 lines · 417 tokens per session scan A cbd5e8e7fb9b
ruff-mcp-server copilot-instructions.md is an instructions file published in the GitHub repository drewsonne/ruff-mcp-server (1 stars, last pushed 1y ago), licensed MIT. It adds 417 tokens to every session, about $0.0021 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.
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