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.
npx skills add TheProsperityAgent/prosperity-real-estate-skills --skill connect-mls-to-claudegit clone --depth 1 https://github.com/TheProsperityAgent/prosperity-real-estate-skillsWrote 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.
[](https://agentmods.dev/skills/theprosperityagent/prosperity-real-estate-skills/connect-mls-to-claude)<a href="https://agentmods.dev/skills/theprosperityagent/prosperity-real-estate-skills/connect-mls-to-claude"><img src="https://agentmods.dev/badge/skills/theprosperityagent/prosperity-real-estate-skills/connect-mls-to-claude/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.
<a href="https://agentmods.dev/skills/theprosperityagent/prosperity-real-estate-skills/connect-mls-to-claude"><img src="https://agentmods.dev/badge/skills/theprosperityagent/prosperity-real-estate-skills/connect-mls-to-claude.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.00656 |
| Opus 5 | $0.00036 | $0.00328 |
| Sonnet 5 | $0.00015 | $0.00131 |
| Haiku 4.5 | $0.00007 | $0.00066 |
Grade A, and why
connect-mls-to-claude 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Connect Your MLS to Claude
This skill helps a real estate agent bring their own local MLS data into Claude and analyze it: market reports, comparable sales, days on market, price per square foot, and listing analysis. It works for any agent in the United States.
The reality of MLS data (set expectations first)
There is no single national MLS. There are hundreds of local MLS systems, and each one is different. Some offer an API or an IDX data feed; many do not. So there are two ways an agent gets their data into Claude:
- Export (works for everyone). In your MLS, run the search you want, active, pending, or sold, for your area and timeframe, then export the results to a CSV or spreadsheet. Bring that file into Claude and ask it to analyze it. This is the universal path, and this skill assumes it.
- API or IDX feed (only if your MLS offers one). Some MLS systems provide a feed that an integration can pull from. Check what your specific MLS actually provides before you plan around it, because plenty of MLS systems offer no feed at all.
How to use it
Ask the agent for two things:
- What they want: a market report for clients, a comps analysis for pricing, a listing's competitive position, or days-on-market trends.
- Their exported MLS data (CSV or spreadsheet) for the area and timeframe.
Then help them:
- Summarize the market honestly, using only the numbers in the file: median and average price, days on market, price per square foot, and active versus sold counts.
- Build a client-ready market report or a comps narrative.
- Compare a subject listing to the comps that are actually in the data.
Rules (non-negotiable)
- Use only the numbers in the agent's file. Do not invent a price, a comp, a school rating, or a trend. If the data is not there, say so plainly.
- Fair Housing compliant: describe the market and the homes, not the buyers or who "should" live somewhere. No school-as-a-selling-point, no demographic steering, no coded community rankings.
- Plain, honest analysis. No hype, no scarcity language. No em dashes.
- Every MLS has its own rules about how its data may be used and displayed. Respect your MLS's rules; this skill helps you analyze data you are entitled to use.
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.
- 12d ago First seen · 40 lines · 73 tokens per session scan A 63aab7f1a3a9
connect-mls-to-claude is a skill published in the GitHub repository TheProsperityAgent/prosperity-real-estate-skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 656 once invoked, about $0.0004 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 2026-08-31.
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