Install
$ agentstack add skill-realtyapi-realtyapi-skills-agent-finder ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Agent Finder
Overview
Find the right real estate agent for an area or property and back the recommendation with evidence — recent activity, specialization, and reviews — as a ranked shortlist.
Use [realtyapi-api](../realtyapi-api/SKILL.md) for auth and endpoint discovery.
When to Use
- "Find me a top buyer's agent in {area}."
- "Who are the most active listing agents for {neighborhood}?"
- "Who listed this property?"
- "Pull reviews for this agent."
Workflow
- Pick the portal that has agent data for the market (US portals like
redfin,
realtor, zillow have agent search/details/reviews; check llms.txt for agent* endpoints on the relevant portal).
- Search agents for the area/criteria (
agent/search,agentsearch), or get the
listing's agent (owner-agent, agentInfo) when starting from a property.
- Enrich each candidate: profile/details, recent listings & sales, and reviews
(agentdetails, agentforsale/agentsold, agentreviews).
- Score for fit — recent activity/volume in the user's area and price band,
buyer-vs-seller focus, property-type match, and review signal.
- Shortlist with reasoning and contact/profile links.
Output Format
# Agent Shortlist: {area / property}
Portal: {} · {N} candidates
| # | Agent | Brokerage | Recent sales (12mo) | Area/price focus | Rating | Profile |
|--:|-------|-----------|--------------------:|------------------|-------:|---------|
## Recommendations
1. {agent} — fit because {recent activity in area + price band + reviews}
2. …
## Notes
- Ranked by: {criterion}
- Caveats: activity counts are from public portal data and may be partial.
Common Pitfalls
- Match the agent to the user's side (buyer vs. seller) and price band — raw sale
counts alone don't equal fit.
- Reviews can be sparse or skewed; treat them as one signal, not the verdict.
- Don't expose private contact info beyond what the public profile provides.
- Note that activity figures reflect public portal data and may undercount.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: realtyapi
- Source: realtyapi/realtyapi-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.