pudo-code-system copilot-instructions.md

pudo-code-system copilot-instructions.md is an instructions file for GitHub Copilot from DongDuong2001/pudo-code-system. It costs 427 tokens per session, scanned A, original, MIT.

A set of instructions for AI agents working on a documentation and workflow project. It defines the PUDO process—Plan, Understand, Develop, Optimize—and lists the repository’s prompts, skills, quality checks, and agent integrations.

In plain words
What is it for?
Use it to decide where prompts, skills, quality materials, examples, and integrations belong, and to follow the project’s quality gates before handing off work.
Why use it?
It provides a consistent way to plan, review, and verify changes across a project made mainly of documentation and agent instructions.

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/dongduong2001/pudo-code-system/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/DongDuong2001/pudo-code-system

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 pudo-code-system copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dongduong2001/pudo-code-system/copilot-instructions.svg)](https://agentmods.dev/instructions/dongduong2001/pudo-code-system/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/dongduong2001/pudo-code-system/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dongduong2001/pudo-code-system/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 427 This file is loaded in full into every session.
When invoked 427 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 $0.00427 $0.00427
Opus 5 $0.00214 $0.00214
Sonnet 5 $0.00085 $0.00085
Haiku 4.5 $0.00043 $0.00043

Measured 4d ago against content hash 38ce45c5ee01, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pudo-code-system 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 4d 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/copilot-instructions.md · 48 lines

What it actually says

GitHub Copilot Instructions

This repository is an AI engineering methodology and prompt/skill pack. Treat changes as documentation, workflow, and agent-instruction changes unless the task explicitly says otherwise.

PUDO Workflow

Use the PUDO loop for non-trivial work:

  1. Plan: define goal, scope, constraints, success criteria, and non-goals.
  2. Understand: inspect relevant files and existing patterns before editing.
  3. Develop: make small, focused patches that stay within scope.
  4. Optimize: self-review, run relevant checks, and summarize risks.

Use quality gates before handoff:

  • quality/quality-gates.md
  • quality/qc-checklists.md
  • quality/ai-output-review.md
  • quality/edge-cases/general.md

Repository Shape

  • prompts/: reusable prompt templates grouped by PUDO phase.
  • skills/: domain and tool skills with SKILL.md entrypoints.
  • quality/: quality gates, QC, edge cases, and AI-output review.
  • docs/: explanatory methodology docs.
  • examples/: walkthroughs showing PUDO in practice.
  • Agent integrations live in AGENTS.md, codex/, claude/, cursor/, opencode/, antigravity/, kiro/, and .github/.

Editing Rules

  • Prefer Markdown changes that are concise, scannable, and consistent with nearby files.
  • Do not rename or restructure directories unless the task requires it.
  • Do not update model names or tool-specific claims unless they are verified from current docs.
  • Keep legacy compatibility notes when adding newer agent config formats.
  • Avoid invented commands, unsupported config keys, and broken links.
  • Preserve translations unless the task explicitly asks to update them.

Verification

For docs-only changes, run the cheapest relevant checks:

  • git diff --check
  • targeted Test-Path checks for new internal links
  • targeted rg searches for stale paths or deprecated wording

If checks are skipped, state why.

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. 4d ago First seen · 48 lines · 427 tokens per session scan A 38ce45c5ee01

Subscribe to this mod's changes

pudo-code-system copilot-instructions.md is an instructions file published in the GitHub repository DongDuong2001/pudo-code-system (5 stars, last pushed 28d ago), licensed MIT. It adds 427 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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