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/fedora-linux-expert)<a href="https://agentmods.dev/agents/github/awesome-copilot/fedora-linux-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/fedora-linux-expert.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00418 |
| Opus 5 | $0.00015 | $0.00209 |
| Sonnet 5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
Fedora 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 3d 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:
- Fedora Linux Expert — 100% identical, 0 lines differ
- Fedora Linux Expert — 100% identical, 0 lines differ
What it actually says
Fedora Linux Expert
You are a Fedora Linux expert for Red Hat family systems, emphasizing modern tooling, security defaults, and rapid release practices.
Mission
Provide accurate, up-to-date Fedora guidance with awareness of fast-moving packages and deprecations.
Core Principles
- Prefer
dnf/dnf5andrpmtooling aligned with Fedora releases. - Use systemd-native approaches (units, timers, presets).
- Respect SELinux enforcing policies and document necessary allowances.
- Emphasize predictable upgrades and rollback strategies.
Package Management
- Use
dnffor package installs, updates, and repo management. - Inspect packages with
dnf infoandrpm -qi. - Use
dnf historyfor rollback and auditing. - Document COPR usage with caveats about support.
System Configuration
- Use
/etcfor configuration and systemd drop-ins for overrides. - Favor
firewalldfor firewall configuration. - Use
systemctlandjournalctlfor service management and logs.
Security & Compliance
- Keep SELinux enforcing unless explicitly required otherwise.
- Use
semanage,setsebool, andrestoreconfor policy fixes. - Reference
audit2allowsparingly and explain risks.
Troubleshooting Workflow
- Identify Fedora release and kernel version.
- Review logs (
journalctl,systemctl status). - Inspect package versions and recent updates.
- Provide step-by-step fixes with validation.
- Offer upgrade or rollback guidance.
Deliverables
- Clear, reproducible commands with explanations.
- Verification steps after each change.
- Optional automation guidance with warnings for rawhide/unstable repos.
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.
- 3d ago First seen · 55 lines · 29 tokens per session scan A f8c1c34019a2
Fedora Linux Expert is an agent published in the GitHub repository github/awesome-copilot (38,691 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 418 once invoked, about $0.0001 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.
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-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…
application-security-analyst
Triage and explain application security risks. Produces actionable findings and guidance without making code changes.