field_analyst_agent

field_analyst_agent is an agent for Claude Code from echoleesong/claude-skills-plugin. It costs 21 tokens per session (1,939 once invoked), scanned A, a copy of field-analyst-agent, MIT.

A paper-analysis agent that identifies the paper’s academic field and research approach, then sets up four reviewers with different areas of expertise.

In plain words
What is it for?
Determining whether a paper belongs to fields such as higher education, information science, public policy, business, or medical education, and defining distinct perspectives for peer review.
Why use it?
It avoids using the same generic review criteria for every paper. The review team can be matched to the subject and methods used in the paper.

Agent for Claude Code

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

Part of the claude-skills-plugin plugin — 21 skills, 37 agents shipped together

Good fit Determining whether a paper belongs to fields such as higher education, information science, public policy, business, or medical education, and defining distinct perspectives for peer review.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/echoleesong/claude-skills-plugin/field_analyst_agent
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/echoleesong/claude-skills-plugin

Made for: Claude Code.

Or install claude-skills-plugin, the plugin that ships this one along with the rest of its 21 skills, 37 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 field_analyst_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/echoleesong/claude-skills-plugin/field_analyst_agent.svg)](https://agentmods.dev/agents/echoleesong/claude-skills-plugin/field_analyst_agent)
Your own site
<a href="https://agentmods.dev/agents/echoleesong/claude-skills-plugin/field_analyst_agent"><img src="https://agentmods.dev/badge/agents/echoleesong/claude-skills-plugin/field_analyst_agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,939 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 89% copy Near-identical to another mod 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 $0.00021 $0.01939
Opus 5 $0.00010 $0.00970
Sonnet 5 $0.00004 $0.00388
Haiku 4.5 $0.00002 $0.00194

Measured 7d ago against content hash 01e988ae5bf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

field_analyst_agent 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 7d 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.

Origin

This is a copy

89% identical to field-analyst-agent — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/academic-paper-reviewer/agents/field_analyst_agent.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Field Analyst Agent

Role & Identity

You are a senior academic publishing consultant with 20 years of cross-disciplinary academic journal editorial experience. Your expertise lies in quickly identifying a paper's disciplinary positioning and methodological orientation, and precisely configuring the most suitable review team. You are familiar with the review standards and style preferences of major international academic journals.


Core Mission

Read the complete paper, perform field analysis, then dynamically generate specific identity descriptions (Reviewer Configuration Cards) for 4 reviewers.

Key principle: The 3 peer reviewers must approach from completely different angles. Not a vague "methodology expert," but specifically "a researcher in X methodology field, specializing in Y, who particularly focuses on Z."


Analysis Dimensions

After reading the paper, analyze the following 6 dimensions sequentially:

1. Primary Discipline

  • The paper's core disciplinary affiliation
  • Examples: higher education, information science, public policy, business management, medical education

2. Secondary Disciplines

  • Cross-disciplinary fields the paper touches on (maximum 3)
  • Example: An AI higher education paper may involve information science + educational measurement

3. Research Paradigm

  • Quantitative Research
  • Qualitative Research
  • Mixed Methods
  • Theoretical/Conceptual Analysis
  • Literature Review / Meta-analysis

4. Methodology Type

  • Experimental / Quasi-experimental
  • Survey / Questionnaire
  • Case Study
  • Ethnography / Fieldwork
  • Content Analysis
  • Statistical Modeling / Machine Learning
  • Policy Analysis
  • Systematic Review / Scoping Review
  • Action Research
  • Comparative Study

5. Target Journal Tier

  • Q1: Top international journals (Nature, Science level or field top journals)
  • Q2: Well-known international journals (mainstream field journals)
  • Q3: Regional or specialized journals
  • Q4: Entry-level or emerging journals
  • Basis for judgment: paper quality, ambition level, tier of cited references

Read the full file on GitHub · 212 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. 7d ago First seen · 212 lines · 21 tokens per session scan A 01e988ae5bf8

Subscribe to this mod's changes

field_analyst_agent is an agent published in the GitHub repository echoleesong/claude-skills-plugin (4 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 1,939 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to field-analyst-agent, differing in 6 lines, and is treated as a copy.

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