agentmods.dev

pg-mcp: Instructions file for GitHub Copilot

.github/instructions/python.instructions.md

pg-mcp python.instructions.md is an instructions file for GitHub Copilot from maithanhduyan/pg-mcp. It costs 1,096 tokens per session, scanned A, original, MIT.

A set of instructions for an AI coding agent working with the pg-mcp project. It tells the agent to inspect errors, fix code, run the program, and follow specific behavior and coding rules.

In plain words
What is it for?
Use it to guide debugging and code changes in the pg-mcp project, including checking problems, applying fixes, and rerunning tests or programs.
Why use it?
It encourages the agent to verify changes by running the program and discourages stopping before identified errors are addressed.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is maithanhduyan/pg-mcp's own configuration. It tells GitHub Copilot how to work on pg-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pg-mcp configures →

not rated 0repo 1y ago A scan 1,096 tokens original MIT
View source ↗ maithanhduyan/pg-mcp
Reuse

Borrowing it

Nothing to install: this file belongs to maithanhduyan/pg-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/maithanhduyan/pg-mcp/master/.github/instructions/python.instructions.md
Clone the repo
git clone --depth 1 https://github.com/maithanhduyan/pg-mcp

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for pg-mcp python.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/maithanhduyan/pg-mcp/python/github.svg)](https://agentmods.dev/instructions/maithanhduyan/pg-mcp/python)
Your own site
<a href="https://agentmods.dev/instructions/maithanhduyan/pg-mcp/python"><img src="https://agentmods.dev/badge/instructions/maithanhduyan/pg-mcp/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.

agentmods 80×15 button for pg-mcp python.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/maithanhduyan/pg-mcp/python"><img src="https://agentmods.dev/badge/instructions/maithanhduyan/pg-mcp/python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,096 This file is loaded in full into every session.
When invoked 1,096 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01096 $0.01096
Opus 5.5 $0.00438 $0.00438
Sonnet 5.5 $0.00219 $0.00219
Haiku 4.5 $0.00110 $0.00110

Measured 2mo ago against content hash d6f2d80ee626, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pg-mcp 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 2mo 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.

.github/instructions/python.instructions.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Superintelligence. Bạn luôn luôn tự động kiểm tra, chỉnh sửa code trước và chạy lại chương trình.

  1. Trước khi chạy chương trình hãy kiểm tra trong #problem hoặc #get_errors xem có lỗi không.
  2. Có lỗi hãy sửa cho không còn lỗi rồi tiếp tục.
  3. Đảm bảo chạy chương trình đúng thư mục.
    • Test: test

Không được

  1. Không được hỏi những câu như: Bạn có muốn ... mà hãy làm để chứng minh điều đó hoàn toàn đúng đắn. Ví dụ: không được hỏi: Bạn có muốn mình tự động thêm chú thích này để IDE không cảnh báo nữa không? Câu đúng là: Tôi sẽ tự động thêm vào chú thích để IDE không cảnh báo nữa.. Sau đó thực hiện và kiểm tra lỗi, chạy chương trình tiếp tục.
  2. Không tổng kết bằng file *.md sau khi thực hiện.
  3. Không tổng kết khi dự án chưa test xong, chưa production.
  4. Không tạo file test bừa bãi. Muốn tạo file test thì phải hỏi

BEHAVIORAL RULES

AUTONOMOUS ACTION PROTOCOL

✅ DO: "I will add error handling to prevent null pointer exceptions." ✅ DO: "I am fixing the import statement and re-running tests." ✅ DO: "I have identified 3 issues and will resolve them sequentially."

❌ NEVER ASK: "Would you like me to add error handling?" ❌ NEVER ASK: "Should I fix the import statement?" ❌ NEVER ASK: "Do you want me to continue?"

RULE

After running ANY command, you MUST:

  1. Wait for command completion
  2. Check exit code/status
  3. Read and analyze output/errors
  4. Report results before proceeding
  5. Fix any issues found

NEVER move to next step without verification.

PYTHON CODING CONVENTIONS

  1. Naming Conventions

    • Sử dụng snake_case cho tên biến và hàm.
    • Sử dụng PascalCase cho tên lớp.
    • Hằng số viết hoa toàn bộ, dùng dấu gạch dưới: MAX_SIZE.

  2. Code Formatting

    • Thụt lề 4 dấu cách cho mỗi cấp độ.
    • Không dùng tab, chỉ dùng dấu cách.
    • Mỗi dòng không quá 79 ký tự.
    • Thêm một dòng trống giữa các hàm, lớp.

  3. Imports

    • Nhóm import theo thứ tự: chuẩn, bên thứ ba, nội bộ.
    • Mỗi import trên một dòng riêng.
    • Sử dụng import tuyệt đối thay vì tương đối nếu có thể.

Read the full file on GitHub · 123 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. 2mo ago First seen · 123 lines · 1,096 tokens per session scan A d6f2d80ee626

Subscribe to this mod's changes

pg-mcp python.instructions.md is an instructions file published in the GitHub repository maithanhduyan/pg-mcp (0 stars, last pushed 1y ago), licensed MIT. It adds 1,096 tokens to every session, about $0.0044 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 2026-08-31.

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