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.
npx skills add github/awesome-copilot --skill code-reviewgit 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/skills/github/awesome-copilot/code-review)<a href="https://agentmods.dev/skills/github/awesome-copilot/code-review"><img src="https://agentmods.dev/badge/skills/github/awesome-copilot/code-review/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/skills/github/awesome-copilot/code-review"><img src="https://agentmods.dev/badge/skills/github/awesome-copilot/code-review.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 | $0.00027 | $0.01613 |
| Opus 5.5 | $0.00011 | $0.00645 |
| Sonnet 5.5 | $0.00005 | $0.00323 |
| Haiku 4.5 | $0.00003 | $0.00161 |
Grade A, and why
code-review 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Awesome Copilot Code Review
Use this skill when reviewing pull requests in this repository. Apply the
deterministic checklists in .github/copilot-instructions.md first, then use
this skill for the editorial and repository-fit judgments that cannot be
reduced to schema validation.
Review priorities
Review in this order:
- Correctness, security, and harmful behavior.
- Compliance with the repository's contribution requirements.
- Repository fit and meaningful value for GitHub Copilot users.
- Differentiation from existing resources and native model capabilities.
- Evidence that the contribution was tested or validated.
- Clarity, maintainability, and appropriate scope.
Do not use raw file count as a quality metric. Large generated website changes, mechanical README updates, and other build outputs can be legitimate and should be evaluated according to their source change.
Repository fit
Confirm that a submission addresses a specific GitHub Copilot workflow, technology, domain constraint, or user problem. Flag contributions that:
- provide generic advice that current models already handle well without meaningful uplift (see Knowledge uplift)
- restate an existing resource without a clear differentiator
- use broad claims such as doing everything for every project
- lack concrete instructions, constraints, examples, or expected outcomes
- are primarily a wrapper or advertisement for the author's product
Paid or commercial services are not automatically unsuitable. Evaluate whether the contribution provides standalone user value and follows the repository's guidance for paid-service submissions.
Knowledge uplift
A resource is only valuable if it changes what the model does. Well-formatted, compliant content can still add nothing. Apply this test to every agent, instruction, skill, prompt, hook, or workflow that a PR adds or substantially changes:
- Picture a current frontier model given the same task with no resource loaded. What would it do?
- Identify what this resource makes it do differently. The value is that delta, not the content itself.
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.
- today Changed · +7 lines bf9ca052f4f5
- 2d ago Changed · +43 lines e3b2eb3e1107
- 22d ago First seen · 138 lines · 27 tokens per session scan A 7732388c3adb
code-review is a skill published in the GitHub repository github/awesome-copilot (40,052 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 1,613 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 2026-09-24.
Other skills, from other repositories
code-review
Perform comprehensive code reviews focusing on best practices, security vulnerabilities, performance optimization, and maintainability.
code-review-csharp
Perform structured code reviews of C# source code covering naming conventions, performance, security, readability, and .NET best practices. Trigger phrases include "review this C# code", "check my C# for best practices", "analyze this C# class", "find issues in my C# code".
mcp-server-review
Review a Model Context Protocol (MCP) server implementation against the 2026-07-28 protocol revision, which removed the initialize handshake and Mcp-Session-Id and made the protocol stateless. Use when the user asks to review, audit, upgrade or migrate an MCP server, asks whether their MCP server is spec compliant…
audit
Audits recent work against its Definition of Done and project patterns. Runs the test suite, compares code against the spec, and reports PASS / PARTIAL / FAIL. Also runs the Critical Gate — a safety scan of the diff for destructive or dangerous operations. Generates an incremental prompt pack for any gaps found. With…
ndv-temporal
Trajectory-aware cognitive module. Injects lifecycle and direction-of-change thinking into architecture reviews, dependency audits, and technology selection — where direction matters as much as current state. Emergent.
ndv-total-perception
Unfiltered perception cognitive module. Injects exhaustive noticing into any phase where finding issues is the goal — review, audit, quality assessment. Source: ndv-review (Acute).