academic-copilot-skills: Skill for Claude Code

.github/skills/deep-research/SKILL.md

deep-research is a skill for Claude Code from s3644/academic-copilot-skills. It costs 123 tokens per session (2,538 once invoked), scanned C, original, no licence file.

An academic research assistant for reviewing and organising published research. It covers tasks such as literature reviews, systematic reviews, fact-checking, evidence synthesis, and APA 7 reports; bioRxiv, for example, is a website where researchers share scientific papers before formal peer review.

In plain words
What is it for?
Use it to formulate research questions, plan methods, guide research discussions, review literature, synthesise evidence, fact-check claims, and prepare APA 7.0 reports.
Why use it?
It helps structure research tasks that otherwise require searching, comparing, and documenting many sources by hand. Telling the difference between evidence and unsupported claims is also part of its stated use.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is s3644/academic-copilot-skills's own configuration. It tells Claude Code how to work on academic-copilot-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything academic-copilot-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to s3644/academic-copilot-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/s3644/academic-copilot-skills/main/.github/skills/deep-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/s3644/academic-copilot-skills

Made for: Claude Code.

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 deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/s3644/academic-copilot-skills/deep-research/github.svg)](https://agentmods.dev/skills/s3644/academic-copilot-skills/deep-research)
Your own site
<a href="https://agentmods.dev/skills/s3644/academic-copilot-skills/deep-research"><img src="https://agentmods.dev/badge/skills/s3644/academic-copilot-skills/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 deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/s3644/academic-copilot-skills/deep-research"><img src="https://agentmods.dev/badge/skills/s3644/academic-copilot-skills/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,538 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00123 $0.02538
Opus 5 $0.00062 $0.01269
Sonnet 5 $0.00025 $0.00508
Haiku 4.5 $0.00012 $0.00254

Measured 12d ago against content hash 26d1295524d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

deep-research scanned grade C with 2 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 12d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

# Install: curl -fsSL https://parallel.ai/install.sh | bash

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

# Install: curl -fsSL https://parallel.ai/install.sh | bash
.github/skills/deep-research/SKILL.md · 210 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

8 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. 12d ago First seen · 210 lines · 123 tokens per session scan C 26d1295524d2

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository s3644/academic-copilot-skills (5 stars, last pushed 3mo ago), with no licence file. It adds 123 tokens to every session and 2,538 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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