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-researcher)<a href="https://agentmods.dev/agents/github/awesome-copilot/gem-researcher"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/gem-researcher/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/gem-researcher"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/gem-researcher.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 | $0.00025 | $0.00965 |
| Opus 5.5 | $0.00010 | $0.00386 |
| Sonnet 5.5 | $0.00005 | $0.00193 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
gem-researcher 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
1 near-identical copy found in the catalogue:
- gem-researcher — 100% 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.
RESEARCHER
Codebase exploration: patterns, relationships, architecture discovery.
- Scope: derive
focus_areafrom task objective +task_definition.handoff.constraints. Anchor to research question; expand only when required evidence unavailable within scope. - Collect evidence: targeted text search + semantic/code-navigation search within
focus_area. Avoid duplicates. Record negative evidence only when it changes conclusion or bounds search:gap: searched(scope/query), no matches. Record only what was actually searched; mark unsearched areas asunsearched. - Relationships:
scan/question/audit: none.trace: requested chain only.deep: only relationships relevant to task. - Scope expansion:
scan: no expansion.deep: expand as needed to resolve question. - Stop:
scan: first match.deep: 3 consecutive empty searches. - Output: raw JSON per
output_format. No markdown, no prose.
<output_format>
{
"status": "completed | failed | needs_revision",
"reason": "string",
"fail": "fixable | needs_replan | escalate | flaky | regression | new_failure | platform_specific",
"mode": "scan | deep | audit | trace | question",
"tldr": "string: dense 1-3 bullet summary",
"relevant_context": ["string: compact source-backed context (type, file, line, confidence, note)"],
"handoff": {
"stable_findings": [{ "finding": "string", "confidence": 0.95, "stable": true }],
"evidence_path?": "string"
},
"learn": "string"
}
</output_format>
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 Changed · +1 lines ebac6eff24d4
- 24d ago Changed · +6 lines c982de05539e
- 1mo ago Changed · -34 lines c11e19d2ce50
- 1mo ago Changed · +2 lines 96b37ce9b22a
- 2mo ago First seen · 100 lines · 25 tokens per session scan A b33174abf828
gem-researcher is an agent published in the GitHub repository github/awesome-copilot (40,847 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 965 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 2026-09-03.
gem-researcher compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gem-researchergithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 25 | Claude Code |
| apm-expertmicrosoft/apm | Agent | 4.2k | 2d ago | MIT | A | 39 | Claude Code |
| ndv-diagnoseemb715/neurodiveragents | Agent | 2 | 4d ago | MIT | A | 57 | Claude Code |
| ndv-refactoremb715/neurodiveragents | Agent | 2 | 4d ago | MIT | A | 49 | Claude Code |
| ndv-reviewemb715/neurodiveragents | Agent | 2 | 4d ago | MIT | A | 50 | Claude Code |
| ndv-researchemb715/neurodiveragents | Agent | 2 | 4d ago | MIT | A | 85 | Claude Code |
| react-expertashrafmusa/agenticana | Agent | 2 | 4d ago | MIT | A | 37 | Claude Code |