ai-context-engineering-for-qa: Instructions file for GitHub Copilot

.github/copilot-instructions.md

ai-context-engineering-for-qa copilot-instructions.md is an instructions file for GitHub Copilot from vlad-ryzhkov/ai-context-engineering-for-qa. It costs 226 tokens per session, scanned A, original, Unlicense.

A set of instructions for a quality-assurance project that records lessons from completed tasks and turns repeated problems into project rules.

In plain words
What is it for?
It guides rule selection, lesson recording, failure analysis, and updating the correct instruction files.
Why use it?
It helps the team improve its process after failures and keep useful guidance from being lost.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is vlad-ryzhkov/ai-context-engineering-for-qa's own configuration. It tells GitHub Copilot how to work on ai-context-engineering-for-qa 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 ai-context-engineering-for-qa configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vlad-ryzhkov/ai-context-engineering-for-qa. 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/vlad-ryzhkov/ai-context-engineering-for-qa/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/vlad-ryzhkov/ai-context-engineering-for-qa

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 ai-context-engineering-for-qa copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vlad-ryzhkov/ai-context-engineering-for-qa/copilot-instructions.svg)](https://agentmods.dev/instructions/vlad-ryzhkov/ai-context-engineering-for-qa/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/vlad-ryzhkov/ai-context-engineering-for-qa/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/vlad-ryzhkov/ai-context-engineering-for-qa/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 226 This file is loaded in full into every session.
When invoked 226 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 $0.00226 $0.00226
Opus 5 $0.00113 $0.00113
Sonnet 5 $0.00045 $0.00045
Haiku 4.5 $0.00023 $0.00023

Measured 4d ago against content hash d68b896dce8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ai-context-engineering-for-qa 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 · 33 lines

What it actually says

ACE Pipeline — Continuous Improvement

After completing any task:

  1. Analyze what rules were missing (Gardener Protocol)
  2. Append observations to .ai-lessons/pending.md
  3. On failure: formulate 1 root-cause rule (Reflection Protocol)

When .ai-lessons/pending.md has >=3 entries, run /curate-lessons to promote rules.

Delta Update Protocol: Use Edit (surgical replace), never Write (full overwrite) on context files.

Gardener Output Format

GARDENER ANALYSIS
| # | Observation | Proposed rule | Section | Target file |

If no proposals: "GARDENER: no proposals for this run"

Target File Selection

  • Skill-specific rule -> skills/{name}/SKILL.md
  • Global QA pattern -> qa-antipatterns/{category}.md
  • Cross-cutting rule -> .ai-lessons/pending.md

Reflection (on failure only)

  • Identify root cause (not symptom)
  • Formulate exactly 1 rule
  • Dedup check before appending to pending.md
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 · 33 lines · 226 tokens per session scan A d68b896dce8d

Subscribe to this mod's changes

ai-context-engineering-for-qa copilot-instructions.md is an instructions file published in the GitHub repository vlad-ryzhkov/ai-context-engineering-for-qa (6 stars, last pushed 1mo ago), licensed Unlicense. It adds 226 tokens to every session, about $0.0011 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 2026-09-03.

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