What is literature-review?

Instructions for conducting a systematic review of academic research. This means searching for relevant papers in a structured way, removing duplicates, and comparing the strongest results.

Research surveys and literature reviews using searches across academic sources, with paper details, summaries, outlines, and analysis of introductions, methods, and results.

They provide a repeatable process for defining the topic, finding papers, judging relevance, and reading important studies in depth.

How collaborative-deep-research/agent-papers-cli configures Claude Cod

Reuse

Borrowing it

Nothing to install: this file belongs to collaborative-deep-research/agent-papers-cli. 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/collaborative-deep-research/agent-papers-cli/main/.claude/skills/literature-review/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/collaborative-deep-research/agent-papers-cli

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/collaborative-deep-research/agent-papers-cli/literature-review/github.svg)](https://agentmods.dev/skills/collaborative-deep-research/agent-papers-cli/literature-review)

Your own site

<a href="https://agentmods.dev/skills/collaborative-deep-research/agent-papers-cli/literature-review"><img src="https://agentmods.dev/badge/skills/collaborative-deep-research/agent-papers-cli/literature-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/collaborative-deep-research/agent-papers-cli/literature-review"><img src="https://agentmods.dev/badge/skills/collaborative-deep-research/agent-papers-cli/literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 569 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

Socket pass 15 Sept 2026
Snyk warn 15 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.

Model	Per session	Once invoked
Fable 5.1	$0.00034	$0.00569
Opus 5.5	$0.00014	$0.00228
Sonnet 5.5	$0.00007	$0.00114
Haiku 4.5	$0.00003	$0.00057

Measured 2mo ago against content hash 3eb98a9fcdfe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

literature-review 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 2mo 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.

.claude/skills/literature-review/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conduct a systematic literature review on "$ARGUMENTS" using the paper and paper-search CLI tools.

1. Define Scope

Before searching, clarify with the user:

Topic boundaries and key terms
Year range (default: last 5 years)
Target venues or communities (if any)
Desired number of papers (default: 15-20 core papers)

2. Multi-Query Search

Search with multiple query variations to maximize coverage:

paper-search semanticscholar papers "<main query>" --limit 20 --year <range>
paper-search semanticscholar papers "<synonym query>" --limit 20 --year <range>
paper-search semanticscholar papers "<related query>" --limit 20 --year <range>
paper-search google scholar "<topic>"

Deduplicate results by title/paper ID.

3. Triage

For each unique paper found:

paper-search semanticscholar details <paper_id>
paper skim <arxiv_id> --lines 2

Categorize as: highly relevant / somewhat relevant / not relevant.

4. Deep Analysis

For highly relevant papers:

paper outline <arxiv_id>
paper read <arxiv_id> introduction
paper read <arxiv_id> method
paper read <arxiv_id> results
paper read <arxiv_id> conclusion

Take structured notes on each paper: problem, method, key results, limitations.

5. Citation Graph Exploration

For seminal papers, find related work:

paper-search semanticscholar citations <paper_id> --limit 20
paper-search semanticscholar references <paper_id> --limit 20

Add any important papers discovered this way back to the triage step.

6. Produce Report

Organize findings by theme, not by paper. Include:

Overview of the field and its evolution
Key methods and approaches (with comparisons)
Main results and findings
Open questions and future directions
Complete reference list with paper IDs and URLs
BibTeX entries for all cited papers (use paper bibtex <arxiv_id> to generate)

Guidelines

Aim for breadth first: cover all major approaches before going deep on any one.
Note citation counts and venues to gauge paper impact.
Flag contradictory findings explicitly.
Distinguish between empirical results and theoretical claims.

Read the full file on GitHub · 79 lines

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.

2mo ago First seen · 79 lines · 34 tokens per session scan A 3eb98a9fcdfe

Subscribe to this mod's changes

literature-review is a skill published in the GitHub repository collaborative-deep-research/agent-papers-cli (50 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 569 once invoked, about $0.0001 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.

Research

literature-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
literature-reviewcollaborative-deep-research/agent-papers-cli	Skill	50	7mo ago	Apache-2.0	A	34	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

agent-papers-cli: Skill for Claude Code