literature-review

literature-review is a skill for Claude Code from gioviat/research-toolkit. It costs 68 tokens per session (595 once invoked), scanned A, original, MIT.

A literature-review skill for surveying research on a specific question. It searches sources such as arXiv, a repository for research papers, and Semantic Scholar, a research-paper search service.

In plain words
What is it for?
Finding related papers, comparing existing methods, checking whether an idea is new, and describing the state of research on a topic.
Why use it?
It makes research searches more systematic by defining the question, search scope, inclusion rules, and citation trail.

Skill for Claude Code

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

Part of the research-toolkit plugin — 7 skills, 5 agents, 1 hook shipped together

Good fit Finding related papers, comparing existing methods, checking whether an idea is new, and describing the state of research on a topic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gioviat/research-toolkit/literature-review
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 gioviat/research-toolkit --skill literature-review
Clone the repo
git clone --depth 1 https://github.com/gioviat/research-toolkit

Made for: Claude Code.

Or install research-toolkit, the plugin that ships this one along with the rest of its 7 skills, 5 agents, 1 hook.

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 literature-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/gioviat/research-toolkit/literature-review/github.svg)](https://agentmods.dev/skills/gioviat/research-toolkit/literature-review)
Your own site
<a href="https://agentmods.dev/skills/gioviat/research-toolkit/literature-review"><img src="https://agentmods.dev/badge/skills/gioviat/research-toolkit/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.

agentmods 80×15 button for literature-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/gioviat/research-toolkit/literature-review"><img src="https://agentmods.dev/badge/skills/gioviat/research-toolkit/literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 595 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00068 $0.00595
Opus 5 $0.00034 $0.00298
Sonnet 5 $0.00014 $0.00119
Haiku 4.5 $0.00007 $0.00060

Measured 11d ago against content hash 158041c01822, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

literature-review scanned grade A with 1 finding 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.

Makes network callslowCapability

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

- arXiv: `curl -sL "https://export.arxiv.org/api/query?search_query=all:%22<terms>%22&max_results=20"`
skills/literature-review/SKILL.md · 33 lines

How it starts

The opening of the file, as written. The whole thing — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Literature review

Before searching

  • State the exact question the survey answers: task, setting, constraints ("parameter-efficient finetuning of sub-1B LLMs", not "efficient finetuning").
  • State the recency window and why (e.g. "2023 onward; earlier work covered by survey X").
  • State the inclusion criteria, so omissions are auditable.

Search procedure

  1. Query multiple sources, not one: web search where available, plus direct API queries —
    • arXiv: curl -sL "https://export.arxiv.org/api/query?search_query=all:%22<terms>%22&max_results=20"
    • Semantic Scholar: curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=<terms>&fields=title,year,venue,abstract,citationCount,externalIds" — works without a key but rate-limits (HTTP 429); back off and retry, don't drop the source silently.
  2. Use several distinct query formulations; different communities name the same idea differently.
  3. Snowball: for the 2–3 most relevant papers found, follow their references and their citing papers (Semantic Scholar /paper/<id>/references and /citations).
  4. Record every query run; the survey reports them so coverage can be audited.

Citation rules (non-negotiable)

  • Never cite from memory. A paper appears in the survey only after its record (arXiv page, Semantic Scholar entry, or venue page) was fetched in this session. A paper that is remembered but cannot be found is reported as "recalled but unverified", not cited.
  • Report what each paper shows, not what it claims: the dataset, metric, and number from its experiments, precise enough to be checked.
  • Mark each entry as peer-reviewed (with venue) or preprint.
  • Do not rank results that are not comparable (different datasets, metrics, or compute); say why they aren't.

Output

Save to papers/related-work/<topic>.md:

  1. Question, scope, recency window, inclusion criteria.
  2. Comparison table: method | venue+year (or preprint) | setting | metric | result | code available.
  3. Gaps and open problems: what no surveyed paper addresses, stated specifically enough to seed a research question (input to the research-ideation skill).
  4. Coverage limits: queries run, sources searched, where the survey may be incomplete.

Read the full file on GitHub · 33 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.

  1. 11d ago First seen · 33 lines · 68 tokens per session scan A 158041c01822

Subscribe to this mod's changes

literature-review is a skill published in the GitHub repository gioviat/research-toolkit (2 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 595 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (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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