Agent skill

Finsight Research Guide

by wentorai in wentorai/research-plugins

Deep financial research with the FinSight multi-agent system

MITAuto-check passedAgent Workflows

Install Finsight Research Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill finsight-research-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wentorai/research-plugins finsight-research-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/finance/finsight-research-guide .claude/skills/finsight-research-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
finsight-research-guide
GitHub stars
298
Used in
1 other repo
Token cost
~879 tokens
SKILL.md length
187 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Deep financial research with the FinSight multi-agent system

  • Works in 6 steps: Executive Summary — Key findings in 3-5… → Market Overview — Industry size, growth,… → Company Analysis — Financials,… → …
  • Tasks that involve Multi-agent orchestration
  • SKILL.md covers Overview, Installation, Core Capabilities and Report Structure, plus 2 more sections
  • Calls git and pip; reaches github.com

What it does

Finsight Research Guide is an agent skill from wentorai/research-plugins. Deep financial research with the FinSight multi-agent system

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Multi-agent orchestration

Example prompts

  • “/finsight-research-guide”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Executive Summary — Key findings in 3-5 bullets
  2. Market Overview — Industry size, growth, trends
  3. Company Analysis — Financials, competitive position
  4. Risk Assessment — Key risks and mitigation
  5. Outlook — Forward-looking analysis with scenarios
  6. Sources — Cited data sources and references

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • playbigdata.ruc.edu.cn

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Finsight Research Guide loads about 879 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 187 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~879

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 187 words, ~879 tokens.

Download SKILL.mdSave it as .claude/skills/finsight-research-guide/SKILL.md (or your agent's skills folder).
name
finsight-research-guide
description
Deep financial research with the FinSight multi-agent system

FinSight Research Guide

Overview

FinSight is a deep research agent designed specifically for financial analysis. Developed by RUC-NLPIR, it combines multi-source data retrieval, financial reasoning, and report generation to produce publication-ready financial research. It handles market analysis, company fundamentals, sector comparisons, and macroeconomic assessment through specialized agents.

Installation

bash
git clone https://github.com/RUC-NLPIR/FinSight.git
cd FinSight && pip install -e .

Core Capabilities

Research Query to Report
python
from finsight import FinSightAgent

agent = FinSightAgent(llm_provider="anthropic")

# Generate comprehensive financial analysis
report = agent.research(
    "Analyze the competitive landscape of the global EV battery "
    "market. Compare CATL, LG Energy, and Panasonic on market "
    "share, technology, margins, and growth outlook."
)

print(report.summary)
report.save("ev_battery_analysis.pdf")
Agent Architecture
AgentRole
Retrieval AgentFetches data from SEC filings, financial APIs, news
Data AgentProcesses financial statements, ratios, time series
Analysis AgentPerforms fundamental, technical, and comparative analysis
Reasoning AgentSynthesizes findings, identifies trends and risks
Report AgentGenerates structured research reports with citations
Financial Data Sources
python
# FinSight integrates with multiple data sources
config = {
    "sec_edgar": True,        # SEC filings (free)
    "fred": True,             # Federal Reserve economic data
    "yahoo_finance": True,    # Market data (free)
    "news_api": True,         # Financial news
    "world_bank": True,       # Macro indicators
}
Analysis Types
python
# Company fundamental analysis
report = agent.research(
    "Provide a fundamental analysis of NVIDIA including "
    "revenue trends, margin analysis, valuation multiples, "
    "and competitive moat assessment."
)

# Sector analysis
report = agent.research(
    "Compare the top 5 cloud computing companies by revenue "
    "growth, operating margins, and R&D investment intensity."
)

# Macro analysis
report = agent.research(
    "Analyze the impact of rising interest rates on US "
    "commercial real estate valuations since 2022."
)

Report Structure

Generated reports typically include:

  1. Executive Summary — Key findings in 3-5 bullets
  2. Market Overview — Industry size, growth, trends
  3. Company Analysis — Financials, competitive position
  4. Risk Assessment — Key risks and mitigation
  5. Outlook — Forward-looking analysis with scenarios
  6. Sources — Cited data sources and references

Use Cases

  1. Investment research: Company and sector deep dives
  2. Due diligence: Comprehensive target company analysis
  3. Academic research: Financial economics research support
  4. Market intelligence: Competitive landscape mapping

References

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/domains/finance/finsight-research-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Finsight Research Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Paseo Committeegetpaseo/paseo20k1 repos~496Automated safety check: PassCustom licence
Mission Control Agent APIbuilderz-labs/mission-control6.3k—~2.1kAutomated safety check: PassMIT

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Categories

Questions about Finsight Research Guide

What does Finsight Research Guide do?

Deep financial research with the FinSight multi-agent system. Finsight Research Guide is an agent skill from wentorai/research-plugins.

When should I use Finsight Research Guide?

Finsight Research Guide fits situations like: tasks that involve Multi-agent orchestration.

How do I install Finsight Research Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill finsight-research-guide -a claude-code`. Or copy the skill folder (skills/domains/finance/finsight-research-guide in wentorai/research-plugins) into .claude/skills/finsight-research-guide in your project. Claude Code loads it when a task matches its description.

How do I install Finsight Research Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill finsight-research-guide -a codex`. Or copy the skill folder (skills/domains/finance/finsight-research-guide in wentorai/research-plugins) into .agents/skills/finsight-research-guide in your project. Codex loads it when a task matches its description.

Can I use Finsight Research Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill finsight-research-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/finsight-research-guide, .gemini/skills/finsight-research-guide, .github/skills/finsight-research-guide and .opencode/skills/finsight-research-guide in your project.

What does Finsight Research Guide need to run?

Going by SKILL.md and its folder, Finsight Research Guide needs the command-line tools its instructions call (git and pip). Our summary lists: Python 3.

Does Finsight Research Guide access the network?

SKILL.md names 2 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: playbigdata.ruc.edu.cn. This is read from the text; nothing was executed.

Is Finsight Research Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Finsight Research Guide use?

Finsight Research Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Finsight Research Guide use?

About 879 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Finsight Research Guide?

Skills that share tags, products or a category with Finsight Research Guide: Orca CLI (stablyai/orca, 89k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Finsight Research Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.