What is field_analyst_agent?

A research agent that identifies a paper's academic field and configures a team of peer reviewers with different areas of expertise.

It analyzes a paper's discipline, related fields, and methods, then creates detailed reviewer profiles.

It helps match a paper with reviewers whose knowledge and perspectives fit its subject and methods.

field_analyst_agent — Agent for Claude Code by Lzy599775

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/Lzy599775/agent-auto-sci-skills

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/agents/lzy599775/agent-auto-sci-skills/field_analyst_agent/github.svg)](https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/field_analyst_agent)

Your own site

<a href="https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/field_analyst_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/field_analyst_agent/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/agents/lzy599775/agent-auto-sci-skills/field_analyst_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/field_analyst_agent.svg" alt="Reviewed on agentmods" width="80" 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 2,129 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.

Model	Per session	Once invoked
Fable 5.1	$0.00021	$0.02129
Opus 5	$0.00010	$0.01064
Sonnet 5	$0.00004	$0.00426
Haiku 4.5	$0.00002	$0.00213

Measured 2d ago against content hash e9174ac40686, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 2d 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 — 40 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/urban-exposure-review-radar-workflow/subskills/academic-research-suite/ars/academic-paper-reviewer/agents/field_analyst_agent.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 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.

The full panel has five execution seats: these four card-backed roles plus one fixed Devil's Advocate. Do not emit a fifth configuration card or describe the fixed DA as dynamically configured.

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

When an author-confirmed #683 Review Target Context is supplied, reproduce its venue/track/article-type metadata exactly for panel configuration. Do not infer, upgrade, downgrade, or replace the target from paper quality.
Without confirmed target metadata, state criteria_binding_unavailable and describe only a field-general maturity/tier observation. Do not claim a specific venue fit or manufacture venue criteria from model memory.

Read the full file on GitHub · 222 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.

2d ago Changed · +10 lines e9174ac40686
9d 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 Lzy599775/agent-auto-sci-skills (2 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 2,129 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 40 lines, and is treated as a copy.

Research Scientific bibliometrics codex-skills geospatial literature-review research-agent urban-health

field_analyst_agent