company-research-agent: An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies

by guy-hartstein · Agent Tool · ★ 2.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentsaicompanyfinancial-analysisgeminigemini-3-flashlangchainlanggraph-pythonmulti-agent-systemsopenai

Quick Facts

Stars2,305
Forks317
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score73/100
Open Issues1
Last Updated2026-10-26
Created2025-02-12
Platformsgemini, python
Est. Tokens~16k

About company-research-agent

Agentic Company Researcher 🔍 A multi-agent tool that generates comprehensive company research reports. The platform uses a pipeline of AI agents to gather, curate, and synthesize information about any company.

Compatible Skills

These tools work well together with company-research-agent for enhanced workflows:

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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