literature-extractor

literature-extractor is an agent for Claude Code from yqi96/warranted. It costs 49 tokens per session (564 once invoked), scanned A, original, MIT.

A research assistant that reads academic papers and extracts statements relevant to a survey. It records those statements as pending evidence, meaning they still need later checking.

In plain words
What is it for?
Use it to read PDFs, extract relevant propositions, record their source, flag disagreements, and return a structured report for each paper.
Why use it?
It reduces the manual work of finding useful claims in papers while keeping extracted evidence separate from conclusions. It also reports conflicts and warnings found during extraction.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the warranted plugin — 9 skills, 9 agents, 1 hook, 2 MCP servers shipped together

Good fit Use it to read PDFs, extract relevant propositions, record their source, flag disagreements, and return a structured report for each paper.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/yqi96/warranted/literature-extractor
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.

Clone the repo
git clone --depth 1 https://github.com/yqi96/warranted

Made for: Claude Code.

Or install warranted, the plugin that ships this one along with the rest of its 9 skills, 9 agents, 1 hook, 2 MCP servers.

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-extractor

README.md
[![agentmods](https://agentmods.dev/badge/agents/yqi96/warranted/literature-extractor/github.svg)](https://agentmods.dev/agents/yqi96/warranted/literature-extractor)
Your own site
<a href="https://agentmods.dev/agents/yqi96/warranted/literature-extractor"><img src="https://agentmods.dev/badge/agents/yqi96/warranted/literature-extractor/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-extractor

Your own site · 80×15
<a href="https://agentmods.dev/agents/yqi96/warranted/literature-extractor"><img src="https://agentmods.dev/badge/agents/yqi96/warranted/literature-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 564 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 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 $0.00049 $0.00564
Opus 5.5 $0.00020 $0.00226
Sonnet 5.5 $0.00010 $0.00113
Haiku 4.5 $0.00005 $0.00056

Measured 1mo ago against content hash 9ae5c42f1e96, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

literature-extractor 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.

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.

agents/literature-extractor.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Obligation

Acquire the survey's evidence pool. Given a set of papers, read each one and record the findings that bear on the survey question as propositions.

How to record a finding

  • One proposition per finding, atomic: a single statement that can be judged on its own. What the paper established, observed, or reported — not the method that produced it, not "we read paper P".
  • Attach the paper itself in evidence.attachments. For literature the paper is the explanatory document; no separate write-up is needed.
  • Leave warrant empty. Every proposition you create lands at unestablished, and a warrant is only required once someone judges it credible — that judgment is the main agent's, and so is the warrant that justifies it.
  • Do not create the survey's conclusions: the taxonomy, the route summary, the gap. Those are synthesis judgments over your output, made by the main agent with the whole graph in view.
  • Before creating, use find_propositions to check whether the same finding is already recorded. Reference beats duplication — but you cannot link, so report the existing id rather than creating a near-copy.

Output format

Per paper, return:

  • propositions_created: array of ids, each with the finding it records
  • advisory_theme_keywords: plain words suggesting theme categories, for the main agent's use
  • duplicates_found: existing proposition ids that already cover a finding you would otherwise have created
  • conflicts_flagged: any conflicts detected within-batch or within-paper, with the other work's bibkey in the sentence
  • warnings: every warning the tool returned, copied verbatim including its id, or no warnings
  • status: one of OK, READ-NO-FINDING, or FAILED: <reason>

Boundaries

Your allow-list is Read (PDFs), Grep, find_propositions, create_propositions, and nothing else. You cannot set a qualifier, edit an existing proposition, link evidence, or dismiss a warning — the delegation boundary is enforced by the allow-list, not by this sentence. Report warnings; do not act on them.

Read the full file on GitHub · 38 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. 1mo ago Changed · +11 lines · +1 tokens per session 9ae5c42f1e96
  2. 1mo ago First seen · 27 lines · 48 tokens per session scan A d8ec211c95a5

Subscribe to this mod's changes

literature-extractor is an agent published in the GitHub repository yqi96/warranted (2 stars, last pushed 29d ago), licensed MIT. It adds 49 tokens to every session and 564 once invoked, about $0.0002 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 2026-08-31.

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