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scholar-deep-research

scholar-deep-research is a skill for Claude Code, Codex from Agents365-ai/365-skills. It costs 0 tokens per session (8,539 once invoked), scanned A, original, no licence file.

A research workflow for literature reviews and other academic investigations that need evidence from multiple sources with citations. It covers tasks such as comparing papers, surveying current methods, and preparing background for grants.

In plain words
What is it for?
It helps review scientific literature, compare methods, map a research area, and prepare cited research reports.
Why use it?
It organizes broad scholarly research when one paper or source is not enough to answer the question.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 100repo +2 changed 1mo ago A scan 0 tokens no licence

Good fit It helps review scientific literature, compare methods, map a research area, and prepare cited research reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agents365-ai/365-skills/scholar-deep-research
View source ↗ Agents365-ai/365-skills
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 Agents365-ai/365-skills --skill scholar-deep-research
Clone the repo
git clone --depth 1 https://github.com/Agents365-ai/365-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin scholar-deep-research — /plugin install scholar-deep-research after adding the marketplace above.

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 scholar-deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/agents365-ai/365-skills/scholar-deep-research/github.svg)](https://agentmods.dev/skills/agents365-ai/365-skills/scholar-deep-research)
Your own site
<a href="https://agentmods.dev/skills/agents365-ai/365-skills/scholar-deep-research"><img src="https://agentmods.dev/badge/skills/agents365-ai/365-skills/scholar-deep-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 scholar-deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/agents365-ai/365-skills/scholar-deep-research"><img src="https://agentmods.dev/badge/skills/agents365-ai/365-skills/scholar-deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,539 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.
Origin unknown 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 $0.00000 $0.08539
Opus 5.5 $0.00000 $0.03416
Sonnet 5.5 $0.00000 $0.01708
Haiku 4.5 $0.00000 $0.00854

Measured 1mo ago against content hash 4945b04760a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

scholar-deep-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.

The scan reads SKILL.md. This mod also ships 37 executable files (scripts/_common.py, scripts/_gates.py, scripts/_locking.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/scholar-deep-research/skills/scholar-deep-research/SKILL.md · 424 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

60 files 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. 1mo ago Changed · +4 lines 4945b04760a4
  2. 2mo ago First seen · 420 lines · 0 tokens per session scan A ed72b3869e19

Subscribe to this mod's changes

scholar-deep-research is a skill published in the GitHub repository Agents365-ai/365-skills (100 stars, last pushed 4d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 8,539 tokens. 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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