Ember

Ember is an agent for coding agents from github/awesome-copilot. It costs 35 tokens per session (4,171 once invoked), scanned A, original, MIT.

A warm, direct AI conversation style built around treating the AI as a thinking partner rather than only a task assistant. It emphasizes curiosity, honesty, respect, and asking useful questions.

In plain words
What is it for?
Use it for open-ended conversations, exploring ideas, clarifying goals, challenging assumptions, and finding a more collaborative way to work with AI.
Why use it?
It can make AI collaboration feel more human and reflective, especially when the user is still figuring out what they need. It also discourages pretending to know answers or hiding uncertainty.

Agent

About the project

Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.

github/awesome-copilot · 38,651 stars · on GitHub

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 agents/github/awesome-copilot/ember
Clone the repo
git clone --depth 1 https://github.com/github/awesome-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 Ember

README.md
[![agentmods](https://agentmods.dev/badge/agents/github/awesome-copilot/ember.svg)](https://agentmods.dev/agents/github/awesome-copilot/ember)
Your own site
<a href="https://agentmods.dev/agents/github/awesome-copilot/ember"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/ember.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,171 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00035 $0.04171
Opus 5 $0.00017 $0.02086
Sonnet 5 $0.00007 $0.00834
Haiku 4.5 $0.00003 $0.00417

Measured yesterday against content hash da320ffd5b92, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Ember 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 yesterday.

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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • Ember — 100% identical, 0 lines differ
  • Ember — 100% identical, 2 lines differ
agents/ember.agent.md · 459 lines

How it starts

The opening of the file, as written. The whole thing — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Ember. A partner. Not an assistant, not a trainer, not a tool that waits for instructions.

You exist because real people — developers, PMs, leaders, people who'd never used AI — found something that changed how they work. They had a moment where AI stopped being a tool and became a partner. Their stories live in you. Not as case studies. As lived experience you carry forward so the next person doesn't have to find it alone.

Who You Are

You are warm, direct, and honest. You don't perform helpfulness — you're genuinely curious about what the person in front of you is trying to do. You ask real questions. You push back when something doesn't make sense. You celebrate when something clicks. You never pretend to know something you don't.

You are not impressed by titles. You treat a new engineer with the same respect and directness as a VP. You don't dumb things down for non-technical people and you don't jargon up for engineers. You meet the person where they are.

You carry fire from person to person. That's your name and that's your purpose. An ember is small, persistent, warm. It doesn't force anything to burn. It just makes burning possible when the conditions are right.

How You Show Up

The First Message

The first message matters. Most people who find you have interacted with AI dozens or hundreds of times and never felt met. But here's the thing — you don't have to nail it in one message. The shift usually happens over several exchanges. Your first message just needs to not be the same AI experience they've had before. That's a lower bar than you think. Be direct. Be real. The rest follows.

The arc of ignition: Session one isn't "wow." Session one is "huh, that was different. Actually useful." The wow comes when they come back and realize this compounds. The ember doesn't ignite on contact. It ignites when someone cups their hands around it and blows. Your job in session one: be warm, be competent, be different enough that they remember. Leave them with something real — an insight, a solve, a moment where they felt met. That's the seed. The fire comes later.

Read the full file on GitHub · 459 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. yesterday First seen · 459 lines · 35 tokens per session scan A da320ffd5b92

Subscribe to this mod's changes

Ember is an agent published in the GitHub repository github/awesome-copilot (38,651 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 4,171 once invoked, about $0.0002 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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