cre-agent-skills: Commercial real estate AI agent skills for CRE underwriting, due diligence, financing, brokerage, legal

by ahacker-1 · Claude Skill · ★ 86

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

How to install cre-agent-skills

git clone https://github.com/ahacker-1/cre-agent-skills.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

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.

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.

ai-agentsai-skillsai-toolschatgpt-promptsclaude-codeclaude-code-skillscommercial-real-estatecrecursor-rulesdue-diligence

Quick Facts

Stars86
Forks20
LanguagePowerShell
CategoryClaude Skill
LicenseApache-2.0
Quality Score72/100
Last Updated2026-06-16
Created2026-03-31
Platformsclaude-code
Est. Tokens~28k

About cre-agent-skills

CRE Agent Skills — AI-Powered Commercial Real Estate Analysis 50 CRE skills. No orchestrator required. Most CRE operators don't need another AI platform. They need one sharp tool for the thing on their desk right now. The rent roll they're cleaning tonight. The IC memo due Thursday. The lender comparison they've been avoiding for a week. The quarterly LP report due Friday.

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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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