academic-trend-research

academic-trend-research is a skill for Claude Code from sandbaseai/sandbase-skills. It costs 43 tokens per session (347 once invoked), scanned A, original, Apache-2.0.

A research workflow for finding emerging trends in academic and scientific work. It combines scholarly databases, web sources, and news to examine growing research areas, notable papers, and changes in scientific agreement.

In plain words
What is it for?
Use it to monitor frontier science, find relevant papers, and support research-and-development planning. It can also help track possible breakthroughs and changing views in a field.
Why use it?
It reduces the effort of tracking developments across academic and general information sources. It helps distinguish rising topics from isolated findings.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sandbase-skills plugin — 97 skills shipped together

Good fit Use it to monitor frontier science, find relevant papers, and support research-and-development planning. It can also help track possible breakthroughs and changing views in a field.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sandbaseai/sandbase-skills/academic-trend-research
Install

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.

Any agent
npx skills add sandbaseai/sandbase-skills --skill academic-trend-research
Clone the repo
git clone --depth 1 https://github.com/sandbaseai/sandbase-skills

Made for: Claude Code.

Or install sandbase-skills, the plugin that ships this one along with the rest of its 97 skills.

Wrote 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.

agentmods badge for academic-trend-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/academic-trend-research/github.svg)](https://agentmods.dev/skills/sandbaseai/sandbase-skills/academic-trend-research)
Your own site
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/academic-trend-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/academic-trend-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.

agentmods 80×15 button for academic-trend-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/academic-trend-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/academic-trend-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 347 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.00347
Opus 5 $0.00022 $0.00173
Sonnet 5 $0.00009 $0.00069
Haiku 4.5 $0.00004 $0.00035

Measured 11d ago against content hash df61705a785c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

academic-trend-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 11d 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.

research/academic-trend-research/SKILL.md · 37 lines

What it actually says

Academic Trend Research

Research emerging academic trends by combining scholarly databases, web sources, and news to identify rising research areas, breakthrough papers, and shifting scientific consensus. Ideal for R&D teams tracking frontier science. Read the API map before selecting a capability.

Call SandBase capabilities

For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.

Available Tools

  • scholar_search_scholar
  • scholar_search_mixed
  • exa_search
  • tavily_search
  • google_news_bulk_articles

Workflow

  1. Understand the user's research question, target, and context.
  2. Call sandbase_describe_tool for each selected tool to confirm parameter schema.
  3. Call sandbase_call_tool with the exact tool_name and schema-defined arguments.
  4. Synthesize findings into a clear, evidence-backed answer.
  5. Cite sources, note evidence gaps, and separate observations from interpretations.

Guidelines

  • Always call sandbase_describe_tool before using any capability.
  • Cite sources and preserve attribution (URLs, usernames, dates, metrics).
  • Separate factual observations from analysis and recommendations.
  • If data is unavailable, note the gap and continue with available evidence.
  • Read-only research only. Never take actions on platforms.
Files

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.

Changes

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.

  1. 11d ago First seen · 37 lines · 43 tokens per session scan A df61705a785c

Subscribe to this mod's changes

academic-trend-research is a skill published in the GitHub repository sandbaseai/sandbase-skills (151 stars, last pushed 3d ago), licensed Apache-2.0. It adds 43 tokens to every session and 347 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 2026-08-30.

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