company-research

company-research is a skill for Claude Code, Codex from getcrew44/crew44. It costs 36 tokens per session (2,972 once invoked), scanned A, original, MIT.

A research guide for building a company profile from public sources, including leadership views, products, strategy, and organization. It is used to understand how a company operates and makes decisions.

In plain words
What is it for?
Use it to prepare for interviews, compare competitors, assess partnerships, or study a market before entering it.
Why use it?
It brings scattered public information into one structured view, so you do not have to piece together company strategy and leadership thinking yourself.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare for interviews, compare competitors, assess partnerships, or study a market before entering it.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/getcrew44/crew44/company-research
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.

Any agent
npx skills add getcrew44/crew44 --skill company-research
Clone the repo
git clone --depth 1 https://github.com/getcrew44/crew44

Made for: Claude Code, Codex.

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 company-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/getcrew44/crew44/company-research/github.svg)](https://agentmods.dev/skills/getcrew44/crew44/company-research)
Your own site
<a href="https://agentmods.dev/skills/getcrew44/crew44/company-research"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/company-research/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.

agentmods 80×15 button for company-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/getcrew44/crew44/company-research"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/company-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,972 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 366
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 385
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 367
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 385
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 368
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found 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 $0.00036 $0.02972
Opus 5 $0.00018 $0.01486
Sonnet 5 $0.00007 $0.00594
Haiku 4.5 $0.00004 $0.00297

Measured 9d ago against content hash b8e03e540223, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

company-research 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 9d 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.

daemon/internal/presets/defaultcrew/skills/product/company-research/SKILL.md · 386 lines

How it starts

The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Create a comprehensive company profile that extracts executive insights, product strategy, transformation initiatives, and organizational dynamics from publicly available sources. Use this to understand competitive landscape, evaluate partnership opportunities, benchmark best practices, prepare for interviews, or inform market entry decisions by understanding how successful companies think about product management and strategy.

This is not surface-level research—it's strategic intelligence gathering focused on product management perspectives and executive vision.

Key Concepts

The Executive Insights Framework

This framework synthesizes company intelligence across multiple dimensions:

Core Components:

  1. Company Overview: Basic info, history, industry context
  2. Executive Quotes: Strategic vision from CEO, COO, VP Product, Group PM
  3. Product Insights: Strategy, recent launches, innovation focus
  4. Transformation Strategies: Digital, AI, Agile transformations
  5. Organizational Impact: How PM influences strategy, cross-functional collaboration
  6. Future Roadmap: Upcoming initiatives and anticipated challenges
  7. Product-Led Growth (PLG): PLG strategies, data-driven decisions

Why This Works

  • Executive perspective: Captures leadership thinking, not just marketing copy
  • Product-centric: Focuses on PM-relevant insights (strategy, process, culture)
  • Multi-source: Synthesizes interviews, earnings calls, blog posts, case studies
  • Strategic intelligence: Informs competitive positioning, partnership evaluation, or interview prep

Anti-Patterns (What This Is NOT)

  • Not financial analysis: Focus is product strategy, not valuation or stock performance
  • Not SWOT analysis: This documents their perspective, not strengths/weaknesses assessment
  • Not surface scraping: Go deeper than "About Us" pages—find executive interviews, product blogs, earnings transcripts

When to Use This

  • Competitive analysis (understanding how competitors approach PM)
  • Partnership evaluation (assessing cultural fit and strategic direction)
  • Interview preparation (understanding company culture, product philosophy)
  • Benchmarking best practices (learning from successful companies)
  • Market entry decisions (understanding how incumbents operate)

Read the full file on GitHub · 386 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 386 lines · 36 tokens per session scan A b8e03e540223

Subscribe to this mod's changes

company-research is a skill published in the GitHub repository getcrew44/crew44 (359 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 2,972 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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