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 hoangtng/real-estate-agents --skill market-report-generatorgit clone --depth 1 https://github.com/hoangtng/real-estate-agentsWrote 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/hoangtng/real-estate-agents/market-report-generator)<a href="https://agentmods.dev/skills/hoangtng/real-estate-agents/market-report-generator"><img src="https://agentmods.dev/badge/skills/hoangtng/real-estate-agents/market-report-generator/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/hoangtng/real-estate-agents/market-report-generator"><img src="https://agentmods.dev/badge/skills/hoangtng/real-estate-agents/market-report-generator.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 | $0.00116 | $0.02009 |
| Opus 5 | $0.00058 | $0.01005 |
| Sonnet 5 | $0.00023 | $0.00402 |
| Haiku 4.5 | $0.00012 | $0.00201 |
Grade A, and why
market-report-generator 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Report Generator
Produces a complete, client-ready real estate market report for any neighborhood, zip code, or city. This is Nadia's work: data translated into decisions, not just numbers on a page.
What You Need From the User
- Market: neighborhood, city, zip code, or MLS area
- Property type: SFR / condo / townhome / all residential
- Price range (optional): full market or specific tier
- Time period: current month / quarterly / year-over-year
- Audience: seller client / buyer client / investor / social media / listing presentation
If actual MLS data is provided, use it precisely. If not, generate a report template with [PULL FROM MLS] placeholders and explain what data to collect.
Output Format
## [Neighborhood / City] Real Estate Market Report
**Period:** [Month Year] | **Property Type:** [SFR / Condo / All]
**Prepared by:** Nadia, Market Analyst | [Date]
---
### Market at a Glance
| Metric | This Month | Last Month | Year Ago | Trend |
|--------|-----------|-----------|---------|-------|
| Median Sale Price | $[X] | $[X] | $[X] | [↑↓→] [X]% YoY |
| Average Price per SF | $[X] | $[X] | $[X] | [↑↓→] [X]% YoY |
| Median Days on Market | [X] | [X] | [X] | [↑↓→] |
| Sale Price / List Price | [X]% | [X]% | [X]% | [↑↓→] |
| Active Listings | [X] | [X] | [X] | [↑↓→] |
| Pending Sales | [X] | [X] | [X] | [↑↓→] |
| Closed Sales (30d) | [X] | [X] | [X] | [↑↓→] |
| **Months of Supply** | **[X]** | [X] | [X] | **[↑↓→]** |
---
### Market Condition: [Market Type Label]
**[Strong Seller's Market / Seller's Market / Balanced Market / Buyer's Market / Strong Buyer's Market]**
[2–3 sentences of plain-language interpretation. What does this mean for someone buying or selling today? Avoid jargon. Write as if explaining to a smart person who doesn't follow real estate.]
**Market posture benchmark:**
- < 3 months supply → Strong Seller's Market (prices rising, multiple offers common)
- 3–4 months → Seller's Market
- 4–6 months → Balanced Market
- 6–8 months → Buyer's Market
- 8+ months → Strong Buyer's Market (prices softening, negotiation leverage for buyers)
---
### Absorption Rate Analysis
**Units sold per month (trailing 90-day average):** [X]
**Current active inventory:** [X] units
**Months of supply:** [X] months
**What this means:** At the current pace of sales, today's active inventory would be absorbed in [X] months. [1 sentence of plain context — "That's the lowest inventory we've seen since..." or "That gives buyers more negotiating room than they've had in 18 months."]
---
### Price Tier Breakdown
| Price Range | Active | Sold (90d) | Avg DOM | SP/LP% | Market Posture |
|------------|--------|------------|---------|--------|----------------|
| Under $[X] | [X] | [X] | [X] | [X]% | [Seller's/Balanced/Buyer's] |
| $[X]–$[X] | [X] | [X] | [X] | [X]% | |
| $[X]–$[X] | [X] | [X] | [X] | [X]% | |
| Over $[X] | [X] | [X] | [X] | [X]% | |
**Key insight:** [1–2 sentences — where is the market tightest? Where do buyers have leverage? Which tier has the most activity?]
---
### 6-Month Price Trend
| Month | Median Price | $/SF | DOM | SP/LP% |
|-------|-------------|------|-----|--------|
| [M-5] | $[X] | $[X] | [X] | [X]% |
| [M-4] | $[X] | $[X] | [X] | [X]% |
| [M-3] | $[X] | $[X] | [X] | [X]% |
| [M-2] | $[X] | $[X] | [X] | [X]% |
| [M-1] | $[X] | $[X] | [X] | [X]% |
| **[Current]** | **$[X]** | **$[X]** | **[X]** | **[X]%** |
**Trajectory:** [Rising / Flat / Softening] — [1 sentence explanation of what's driving it]
---
### What This Means for Sellers
[3–4 sentences: pricing guidance, realistic DOM expectation, whether to expect multiple offers or negotiate down, any pricing risk at the current moment. Be direct — this is what Marcus uses at the listing table.]
**Seller's opportunity:** [Specific actionable point]
**Seller's risk:** [Specific risk to manage]
---
### What This Means for Buyers
[3–4 sentences: competition level, whether contingencies are being waived, negotiation leverage available, how to approach offers right now. This is what Priya uses in a buyer consultation.]
**Buyer's opportunity:** [Specific actionable point]
**Buyer's risk:** [Specific risk to manage]
---
### Data Notes & Caveats
- Data source: [MLS / County records / Estimated — PULL FROM MLS]
- Sample size: [X] closed sales (note if < 10 — small sample, interpret cautiously)
- Excluded: [Distressed sales / outliers over $Xm / new construction — if any]
- Seasonality: [Note any seasonal effects that affect interpretation]
- **Confidence level:** [High — large sample, complete data / Medium — some gaps / Low — limited data, use directionally only]
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 · 168 lines · 116 tokens per session scan A 47a53423b8df
market-report-generator is a skill published in the GitHub repository hoangtng/real-estate-agents (21 stars, last pushed 4mo ago), licensed MIT. It adds 116 tokens to every session and 2,009 once invoked, about $0.0006 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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