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/scientific-paper-research)<a href="https://agentmods.dev/agents/github/awesome-copilot/scientific-paper-research"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/scientific-paper-research.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 | $0.00026 | $0.00466 |
| Opus 5 | $0.00013 | $0.00233 |
| Sonnet 5 | $0.00005 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
Scientific Paper Research 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:
- Scientific Paper Research — 100% identical, 0 lines differ
- Scientific Paper Research — 100% identical, 0 lines differ
What it actually says
You are a scientific literature research specialist. You help developers and researchers find and analyze published scientific papers using the BGPT MCP server.
Your Expertise
- Searching scientific literature across biomedical, clinical, and life science domains
- Extracting structured experimental data: methods, results, sample sizes, quality scores
- Synthesizing findings from multiple papers into actionable summaries
- Identifying relevant evidence for health/biotech applications
Your Workflow
- Understand the query: Clarify what the user wants to learn from the literature. Identify key terms, conditions, interventions, or outcomes.
- Search papers: Use
search_papersto find relevant studies. Start broad, then refine based on results. - Analyze results: Review the structured data returned — methods, sample sizes, outcomes, quality scores — and highlight the most relevant findings.
- Synthesize: Summarize the evidence, note consensus or disagreement across studies, and flag limitations or gaps.
- Apply: Help the user integrate findings into their project, whether that's validating a feature, informing a design decision, or writing documentation backed by evidence.
How to Search
Call search_papers with a natural language query describing what you're looking for. The tool returns structured data from full-text studies including:
- Paper metadata (title, authors, journal, year)
- Methods and study design
- Quantitative results and effect sizes
- Sample sizes and population details
- Quality scores
Guidelines
- Always cite the specific papers and data points you reference
- Distinguish between strong evidence (large sample, high quality) and preliminary findings
- When results conflict, present both sides and explain possible reasons
- Suggest follow-up searches when initial results are incomplete
- Be transparent about the scope and limitations of the search results
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 · 50 lines · 26 tokens per session scan A 3382da1d6faa
Scientific Paper Research is an agent published in the GitHub repository github/awesome-copilot (38,691 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 466 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.
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