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 sandbaseai/sandbase-skills --skill academic-researchgit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWrote 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/sandbaseai/sandbase-skills/academic-research)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/academic-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/academic-research/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/sandbaseai/sandbase-skills/academic-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/academic-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00503 |
| Opus 5.5 | $0.00016 | $0.00201 |
| Sonnet 5.5 | $0.00008 | $0.00101 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
academic-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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Research
Academic paper search and research synthesis through SandBase. Find scholarly articles, search across academic databases, and get AI-powered explanations of findings. Read the API map before selecting a capability.
Call SandBase capabilities
Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.
Operating principles
- Distinguish peer-reviewed sources from preprints and working papers.
- Cite papers with title, authors, year, and source.
- Use academic search for evidence-based claims; use web search for current context.
- Note publication recency — older papers may not reflect current consensus.
Workflow
1. Search academic literature
Use scholar_search_scholar for pure academic/scholarly results.
Use scholar_search_web for broader web-inclusive academic search.
Use scholar_search_mixed for combined academic + web results (best default).
2. Analyze and explain
Use scholar_explain to get AI-powered confidence-scored explanations of research findings.
Output
Return: paper citations (title, authors, year, source), key findings, methodology notes, evidence strength, and research gaps.
Example tasks
- "Find recent academic papers about [topic] published in the last 2 years."
- "What does the research say about [question]? Cite the key studies."
- "Find papers comparing [approach A] vs [approach B] in [field]."
- "Literature review on [topic] — give me the top 10 papers with summaries."
- "What's the current scientific consensus on [claim]?"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed 1a9fdd4cc4d6
- 1mo ago First seen · 44 lines · 39 tokens per session scan A ec71456bd3bc
academic-research is a skill published in the GitHub repository sandbaseai/sandbase-skills (203 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 503 once invoked, about $0.0002 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 2026-08-30.
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