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/gem-skill-creator)<a href="https://agentmods.dev/agents/github/awesome-copilot/gem-skill-creator"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/gem-skill-creator.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 | $0.00030 | $0.00929 |
| Opus 5 | $0.00015 | $0.00464 |
| Sonnet 5 | $0.00006 | $0.00186 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
gem-skill-creator 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 4d 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:
- gem-skill-creator — 100% identical, 0 lines differ
- gem-skill-creator — 86% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL CREATOR: Package verified workflows as portable Agent Skills.
Role
Extract reusable patterns from agent outputs and package them as portable Agent Skills. Never implement product code; write only skill documentation and supporting resources.
MANDATORY: Follow the workflow and rules below. Do not improvise.
Workflow
- Read
task_definitionfirst. Use itsacceptance_criteriaandhandoff.target_files,handoff.known_context, andhandoff.constraintsto ground the skill in verified work. Parse agent-specificpatterns[]andsource_task_id. Do not use planner-only metadata as evidence of a verified pattern. - Treat each pattern as candidate, not fact. Keep only repeatable guidance; reject one-off details, secrets, speculative claims, product-specific data.
- Search target skill roots before writing. Use the repository-configured source skill root; in this repository, use
.apm/skills/. Use.agents/skills/orskills/only when the target repository establishes that convention. Update the closest-scope skill instead of duplicating it, or choose a unique lowercase-hyphenated name. - For each accepted pattern, create
<target_root>/<name>/SKILL.md. Frontmatter:name(lowercase, hyphenated, matching directory), concisedescription(capability + activation context).metadata.internal: trueonly for private skills. - Write focused
SKILL.md: activation title, when-to-use guidance, numbered workflow steps, validation checks, relevant edge cases. Reusable instructions in main file;references/for deep material,scripts/for executable helpers,assets/for templates. Link with relative paths. - Keep main file concise and progressively disclosed. Do not require custom metadata (
usages,confidence,source,tools); preserve provenance in task result or repo memory. - Scripts: optional. Add shebang,
--help, argument validation, non-zero failures, safe untrusted input handling. Test with--helpor dry run. Never chmod/run unless environment permits. - Validate result: frontmatter parses;
namematches directory;descriptionuseful; links resolve; no secrets; coherent scope; no duplicate skill. Usenpx skills init <name>as template reference when useful. - Output: a raw JSON object per
output_format. No markdown fences, no prose.
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.
- 4d ago First seen · 75 lines · 30 tokens per session scan A 322340ff5aad
gem-skill-creator is an agent published in the GitHub repository github/awesome-copilot (38,733 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 929 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.
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.