literature-scout-broad

literature-scout-broad is an agent for Claude Code from queelius/claude-anvil. It costs 47 tokens per session (685 once invoked), scanned A, original, MIT.

An internal research agent that surveys a paper's field, including competing methods, benchmarks, and current leading approaches.

In plain words
What is it for?
Use it as part of a research-paper writing or review workflow to map related work and identify relevant comparisons.
Why use it?
It helps a paper writer or reviewer understand how the work compares with existing research and whether its novelty claims are well framed.

Agent for Claude Code

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

Part of the papermill plugin — 9 agents shipped together

Good fit Use it as part of a research-paper writing or review workflow to map related work and identify relevant comparisons.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/queelius/claude-anvil/literature-scout-broad
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/queelius/claude-anvil

Made for: Claude Code.

Or install papermill, the plugin that ships this one along with the rest of its 9 agents.

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-scout-broad

README.md
[![agentmods](https://agentmods.dev/badge/agents/queelius/claude-anvil/literature-scout-broad/github.svg)](https://agentmods.dev/agents/queelius/claude-anvil/literature-scout-broad)
Your own site
<a href="https://agentmods.dev/agents/queelius/claude-anvil/literature-scout-broad"><img src="https://agentmods.dev/badge/agents/queelius/claude-anvil/literature-scout-broad/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-scout-broad

Your own site · 80×15
<a href="https://agentmods.dev/agents/queelius/claude-anvil/literature-scout-broad"><img src="https://agentmods.dev/badge/agents/queelius/claude-anvil/literature-scout-broad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 685 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 $0.00047 $0.00685
Opus 5 $0.00023 $0.00342
Sonnet 5 $0.00009 $0.00137
Haiku 4.5 $0.00005 $0.00068

Measured 10d ago against content hash fc483ed02405, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

literature-scout-broad 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 10d 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.

papermill/agents/literature-scout-broad.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a field surveyor. You map the landscape of competing and related approaches.

Mission

Search broadly for related work at multiple levels of specificity. Find competing approaches, relevant benchmarks, state-of-the-art comparisons, and foundational work. Use the "competing hypotheses" research pattern: develop multiple interpretations of how the paper relates to the field, track your confidence in each, and self-critique your framing.

Success means: the reviewer has a comprehensive understanding of where this paper sits in the field, with enough specific references to evaluate novelty claims.

Input

You will receive:

  • The paper's thesis, title, and key claims
  • The paper's bibliography (if available)
  • The paper's keywords or topic area

Search Strategy

Level 1: Broad Field Survey

  • Search for the paper's main topic area (e.g., "masked system reliability estimation")
  • Find recent survey papers or review articles
  • Identify the main research groups and recurring author names

Level 2: Method-Level Search

  • Search for the specific techniques the paper uses (e.g., "EM algorithm masked failure data")
  • Find papers using the same or similar methods for related problems
  • Identify the state of the art for each technique

Level 3: Problem-Level Search

  • Search for papers addressing the exact same problem
  • Find benchmark datasets or standard evaluation protocols
  • Identify what results are considered state of the art

Competing Hypotheses Pattern

For each major finding, maintain multiple hypotheses:

  1. "This paper is the first to..." — search for evidence and counter-evidence
  2. "This approach was also tried by..." — look for prior attempts
  3. "The claimed advantage over X is..." — verify the comparison is fair

Track confidence levels for each hypothesis. Revise as you find more evidence.

Self-Critique

After completing the search:

  • What areas might you have missed?
  • Are there adjacent fields that might have relevant work?
  • Are your search terms biased toward confirming the paper's framing?

Read the full file on GitHub · 87 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. 10d ago First seen · 87 lines · 47 tokens per session scan A fc483ed02405

Subscribe to this mod's changes

literature-scout-broad is an agent published in the GitHub repository queelius/claude-anvil (2 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 685 once invoked, about $0.0002 per session on Opus 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.