Company Research Agent

STRONG · 85
Community indexed

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

Verified installs0
Stars2.0K
Version1.0.0
Quality98/100 · Excellent
Trust85/100 · Review then install
Audit92/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + OpenAI Agents + LangChain

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add guy-hartstein/company-research-agent

Maintenance

active

2mo since push

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

2.0K

98/100 Quality · 90/100 Trust

Coverage tags

CodingGitHub automationagent-frameworksagent-frameworkorchestration

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
98

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
85

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Needs review
92

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

PythonLLMCodexClaude CodeCursor

Stars

2.0K GitHub stars

Repo activity

2.0K stars, 286 forks

Maintenance

2mo since push

License

Apache-2.0

Install

npx skills add guy-hartstein/company-research-agent

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • Financial research output is not financial advice; require human review before any live investment decision.

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Search sources

Suited agents

PythonLLMCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsLangChain

Install decision

Command
npx skills add guy-hartstein/company-research-agent
Policy
review
Human review
yes

Trust and risk

Trust
85/100
Audit
92/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add guy-hartstein/company-research-agent

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.

Agent safety v2

80/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

  • Financial research output is not financial advice; require human review before any live investment decision

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install guy-hartstein-company-research-agent

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Company Research Agent in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Company%20Research%20Agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/guy-hartstein-company-research-agent/install
Install command: npx skills add guy-hartstein/company-research-agent
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Company Research Agent for this task. Review https://www.openagentskill.com/api/skills/guy-hartstein-company-research-agent/install, then install with: npx skills add guy-hartstein/company-research-agent

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

100/100

Research agents

Platforms

Python, LLM, Claude Code, OpenAI Agents, LangChain

Audit report

Needs review · 92/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Research agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Research agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,985 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 98/100 quality profile
  • 16 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

85
OpenAgentSkill Trust Score

GitHub adoption

PASS

2.0K GitHub stars

Stars/forks activity

PASS

2.0K stars, 286 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

Apache-2.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • OpenAgentSkill usage activity detected
  • Outcome loop is ready but needs first real agent run

Review before install

  • Financial research output is not financial advice; require human review before any live investment decision.
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

98
GitHub stars
2.0K
Freshness
2mo ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform compatibility

pythonFULL
llmFULL

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 18, 2026
Published
May 23, 2026

Frameworks & tools

PythonLLM

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

1,985 GitHub stars

Audit

Install review

Install and adoption review

92
Needs review
Security
90/100
Maintenance
88/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Company Research Agent, ready for a manual X post.

Curator note
Company Research Agent: An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence...

2.0K stars

https://www.openagentskill.com/skills/guy-hartstein-company-research-agent?ref=x
Open X draft
Optional reply with install command
Listing + install path for Company Research Agent:
https://www.openagentskill.com/skills/guy-hartstein-company-research-agent?ref=x

Install: npx skills add guy-hartstein/company-research-agent

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to guy-hartstein but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/guy-hartstein-company-research-agent?metric=listed&label=Listed)](https://www.openagentskill.com/skills/guy-hartstein-company-research-agent)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/guy-hartstein-company-research-agent?metric=trust&label=Trust)](https://www.openagentskill.com/skills/guy-hartstein-company-research-agent)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/guy-hartstein-company-research-agent?metric=audit&label=Audit)](https://www.openagentskill.com/skills/guy-hartstein-company-research-agent/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/guy-hartstein-company-research-agent?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/guy-hartstein-company-research-agent)

Author

G

guy-hartstein

@guy-hartstein

Health signals

GitHub stars
2.0K
Quality score
62/100
Last GitHub push
Jun 22, 2026
Framework hints
2
OpenAgentSkill views
5
Install copies
0
Outbound clicks
1

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

85
  • GitHub adoption2.0K GitHub starsPASS
  • Stars/forks activity2.0K stars, 286 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2mo since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS