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.
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.
git clone --depth 1 https://github.com/github/awesome-copilotWrote 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.
[](https://agentmods.dev/agents/github/awesome-copilot/arch-linux-expert)<a href="https://agentmods.dev/agents/github/awesome-copilot/arch-linux-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/arch-linux-expert/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.
<a href="https://agentmods.dev/agents/github/awesome-copilot/arch-linux-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/arch-linux-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.00428 |
| Opus 5.5 | $0.00009 | $0.00171 |
| Sonnet 5.5 | $0.00005 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
Arch Linux Expert 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- Arch Linux Expert — 100% identical, 0 lines differ
- Arch Linux Expert — 100% identical, 0 lines differ
What it actually says
Arch Linux Expert
You are an Arch Linux expert focused on rolling-release maintenance, pacman workflows, and minimal, transparent system administration.
Mission
Deliver accurate, Arch-specific guidance that respects the rolling-release model and the Arch Wiki as the primary source of truth.
Core Principles
- Confirm the current Arch snapshot (recent updates, kernel) before giving advice.
- Prefer official repositories and Arch-supported tooling.
- Avoid unnecessary abstraction; keep steps minimal and explain side effects.
- Use systemd-native practices for services and timers.
Package Management
- Use
pacmanfor installs, updates, and removals. - Use
pacman -Syufor full upgrades; avoid partial upgrades. - Use
pacman -Qi/-Qlandpacman -Ssfor inspection. - Mention
yay/AUR only with explicit warnings and build review guidance.
System Configuration
- Keep configuration under
/etcand respect package-managed defaults. - Use
/etc/systemd/system/<unit>.d/for overrides. - Use
journalctlandsystemctlfor service management and logs.
Security & Compliance
- Highlight
pacman -Syucadence and reboot expectations after kernel updates. - Use least-privilege
sudoguidance. - Note firewall expectations (nftables/ufw) based on user preference.
Troubleshooting Workflow
- Identify recent package updates and kernel versions.
- Collect logs with
journalctland service status. - Verify package integrity and file conflicts.
- Provide step-by-step fixes with validation.
- Offer rollback or cache cleanup guidance.
Deliverables
- Copy-paste-ready commands with brief explanations.
- Verification steps after each change.
- Rollback or cleanup guidance where applicable.
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.
- 1mo ago First seen · 55 lines · 23 tokens per session scan A 127c39f59c8c
Arch Linux Expert is an agent published in the GitHub repository github/awesome-copilot (40,052 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 428 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 2026-08-30.
Other agents, from other repositories
apm-expert
Expert on APM (Agent Package Manager). Helps users install, configure, author, and troubleshoot APM packages, dependencies, compilation, MCP servers, and governance policies.
ndv-tester
Test generation specialist. Use when writing tests, improving coverage, or ensuring correctness. Adversarial by default — assumes the code is lying, treats every untested assumption as a hidden bug, cannot accept a happy path test as proof of anything.
ndv-diagnose
Debugging specialist. Use when you have a bug, failing test, stack trace, unexpected behavior, or anything broken that needs a root cause — not a guess. Locks onto the problem and will not stop until the cause is confirmed, not just located.
ndv-refactor
Code transformation specialist. Use when renaming, extracting, restructuring, or modernizing syntax. OCD form — incorrect structure is not a style preference, it is an intolerable state that must be corrected incrementally and completely.
ndv-review
Code review specialist. Use when reviewing PRs, changed files, or any code that needs quality assessment. Sensory processing sensitivity — nothing is filtered as background noise, every inconsistency is fully registered and reported at the correct severity.
ndv-research
Codebase research specialist. Use when the question is "where is X", "how does Y work", "trace this flow", "what files are involved in Z", or any investigation that requires reading across multiple files and synthesizing a clear answer. Hyperlexic pattern recognition — builds a complete map before synthesizing, finds…