copilot-cert-prep: Command for GitHub Copilot

.github/prompts/review-learning-change.prompt.md

review-learning-change is a command for GitHub Copilot from timothywarner-org/copilot-cert-prep. It costs 13 tokens per session (136 once invoked), scanned A, original, MIT.

A command for reviewing a limited classroom change using evidence from its implementation. It focuses on checking what was actually changed rather than making a broad review.

In plain words
What is it for?
Use it to review a bounded change to classroom materials, teaching practice, or an education project.
Why use it?
It helps verify that an education-related change was implemented as intended and supported by concrete evidence.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt. Also seen: agent in frontmatter.

This is timothywarner-org/copilot-cert-prep's own configuration. It tells GitHub Copilot how to work on copilot-cert-prep 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 copilot-cert-prep configures →

Reuse

Borrowing it

Nothing to install: this file belongs to timothywarner-org/copilot-cert-prep. 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/timothywarner-org/copilot-cert-prep/main/.github/prompts/review-learning-change.prompt.md
Clone the repo
git clone --depth 1 https://github.com/timothywarner-org/copilot-cert-prep

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 review-learning-change

README.md
[![agentmods](https://agentmods.dev/badge/commands/timothywarner-org/copilot-cert-prep/review-learning-change/github.svg)](https://agentmods.dev/commands/timothywarner-org/copilot-cert-prep/review-learning-change)
Your own site
<a href="https://agentmods.dev/commands/timothywarner-org/copilot-cert-prep/review-learning-change"><img src="https://agentmods.dev/badge/commands/timothywarner-org/copilot-cert-prep/review-learning-change/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 review-learning-change

Your own site · 80×15
<a href="https://agentmods.dev/commands/timothywarner-org/copilot-cert-prep/review-learning-change"><img src="https://agentmods.dev/badge/commands/timothywarner-org/copilot-cert-prep/review-learning-change.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 136 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00013 $0.00136
Opus 5.5 $0.00005 $0.00054
Sonnet 5.5 $0.00003 $0.00027
Haiku 4.5 $0.00001 $0.00014

Measured 1mo ago against content hash 0f01449af1ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-learning-change 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 1mo 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/prompts/review-learning-change.prompt.md · 16 lines

What it actually says

Review the attached file or proposed change for a learner repository.

  1. Explain the intended behavior from the implementation.
  2. Identify one concrete correctness, security, or usability issue, if supported by evidence.
  3. Propose the smallest useful change and explain why it is needed.
  4. Define an observable success check and a meaningful failure case.
  5. Name any behavior you could not verify.

Preserve public interfaces and file formats unless the user explicitly requests a change. Do not invent findings to fill the checklist. Cite relevant files and primary documentation for product/API claims.

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. 1mo ago First seen · 16 lines · 13 tokens per session scan A 0f01449af1ac

Subscribe to this mod's changes

review-learning-change is a command published in the GitHub repository timothywarner-org/copilot-cert-prep (97 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 136 once invoked, about $0.0001 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 2026-09-22.