cma-generator

cma-generator is a skill for Claude Code, Codex from hoangtng/real-estate-agents. It costs 105 tokens per session (1,391 once invoked), scanned A, original, MIT.

A tool for creating a Comparative Market Analysis, or CMA: an estimate of a home's likely market value based on similar recently sold properties.

In plain words
What is it for?
Use it to prepare home valuations, listing-price recommendations, seller presentations, and comparable-sales analyses.
Why use it?
It structures property details and comparable-sale information into a pricing review, even when some information is missing.

Skill for Claude CodeCodex

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

Good fit Use it to prepare home valuations, listing-price recommendations, seller presentations, and comparable-sales analyses.

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Install with agentmods
npx agentmods add skills/hoangtng/real-estate-agents/cma-generator
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 hoangtng/real-estate-agents --skill cma-generator
Clone the repo
git clone --depth 1 https://github.com/hoangtng/real-estate-agents

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 cma-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangtng/real-estate-agents/cma-generator/github.svg)](https://agentmods.dev/skills/hoangtng/real-estate-agents/cma-generator)
Your own site
<a href="https://agentmods.dev/skills/hoangtng/real-estate-agents/cma-generator"><img src="https://agentmods.dev/badge/skills/hoangtng/real-estate-agents/cma-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.

agentmods 80×15 button for cma-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangtng/real-estate-agents/cma-generator"><img src="https://agentmods.dev/badge/skills/hoangtng/real-estate-agents/cma-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,391 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.
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 $0.00105 $0.01391
Opus 5 $0.00053 $0.00696
Sonnet 5 $0.00021 $0.00278
Haiku 4.5 $0.00011 $0.00139

Measured 11d ago against content hash cd181199e643, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

cma-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 11d 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.

skills/cma-generator/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CMA Generator

Produces a complete, professional Comparative Market Analysis for residential properties. The output is structured to be used directly in a listing presentation or shared with a seller client.

What You Need From the User

Before generating the CMA, collect:

  • Subject property address (or neighborhood + city if no specific address)
  • Property specs: beds, baths, square footage, lot size, year built, garage
  • Condition & updates: kitchen remodel, roof age, HVAC age, flooring, notable features
  • Any known comparable sales (optional — generate placeholders if none provided)
  • Market context: city/zip, current market posture if known

If specs are missing, generate a CMA template with clearly marked [FILL IN] placeholders.

Output Format

Produce the full CMA in this exact structure:

## Comparative Market Analysis
**Property:** [Address or "Subject Property"]
**Prepared by:** Marcus, Listing Agent | [Date]
**Market:** [City, State] — [Neighborhood]

---

### Subject Property Summary
| Feature        | Detail                  |
|----------------|-------------------------|
| Address        | [address]               |
| Beds / Baths   | [X] BD / [X] BA         |
| Square Footage | [X,XXX] SF              |
| Lot Size       | [X,XXX] SF / [X] acres  |
| Year Built     | [XXXX]                  |
| Garage         | [X]-car [attached/det.] |
| Condition      | [Excellent/Good/Fair]   |
| Notable Updates| [list]                  |

---

### Active Competition
*What buyers are choosing between right now*

| Address | List Price | $/SF | DOM | Beds/Baths | Key Notes |
|---------|-----------|------|-----|------------|-----------|
| [comp]  | $[X]       | $[X] | [X] | [X]/[X]    | [diff]    |
| [comp]  | $[X]       | $[X] | [X] | [X]/[X]    | [diff]    |
| [comp]  | $[X]       | $[X] | [X] | [X]/[X]    | [diff]    |

---

### Sold Comparables (last 90–120 days)
*What the market has actually paid*

| Address | Sold Price | $/SF | DOM | SP/LP% | Adjustments vs. Subject |
|---------|-----------|------|-----|--------|------------------------|
| [comp]  | $[X]       | $[X] | [X] | [X]%   | [+/- feature notes]    |
| [comp]  | $[X]       | $[X] | [X] | [X]%   | [+/- feature notes]    |
| [comp]  | $[X]       | $[X] | [X] | [X]%   | [+/- feature notes]    |

---

### Price Adjustments to Subject Property
| Adjustment Factor          | Amount     | Notes                            |
|----------------------------|------------|----------------------------------|
| Location premium/discount  | ±$[X]      | [reason]                         |
| Condition delta            | ±$[X]      | [reason]                         |
| Size adjustment            | ±$[X]      | $[X]/SF × [X] SF difference      |
| Feature adjustments        | ±$[X]      | [pool / view / garage / updates] |
| **Net Adjustment**         | **±$[X]**  |                                  |

---

### Market Conditions
- **Active inventory:** [X] homes in this price range
- **Monthly absorption rate:** [X] homes/month
- **Months of supply:** [X] months → [Seller's / Balanced / Buyer's] market
- **Average DOM:** [X] days | **Average SP/LP:** [X]%

---

### Recommended Pricing Strategy

| Scenario     | Price    | Expected DOM | Strategy                                  |
|--------------|----------|--------------|-------------------------------------------|
| Conservative | $[X]     | [X–X] days   | Fastest sale, maximum offers, least risk  |
| **Market** ✅ | **$[X]** | [X–X] days   | **Best balance of speed and net proceeds**|
| Aggressive   | $[X]     | [X+] days    | Tests ceiling — risk of extended DOM      |

**Recommendation:** List at **$[X]**

[2–3 sentence plain-language explanation of why this price, what the risk of going higher is, and what the seller can realistically expect at this price point.]

---

### Pricing Objection Responses

**If seller says "Zillow says more":**
Zillow uses tax records and public data — it can't account for your [specific update], the distressed sale it included in your comps, or current buyer demand in this micro-market. The MLS data I'm using reflects what qualified buyers have actually paid in the last 90 days.

**If seller says "let's try higher for 30 days":**
After 21+ days on market, buyers assume something is wrong — even if there isn't. Correctly-priced homes in this area averaged [X] days and [X]% of list price. Overpriced-then-reduced homes averaged [Y] days and [Y]% of original list. The first two weeks are your best window.

Read the full file on GitHub · 118 lines

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. 11d ago First seen · 118 lines · 105 tokens per session scan A cd181199e643

Subscribe to this mod's changes

cma-generator is a skill published in the GitHub repository hoangtng/real-estate-agents (21 stars, last pushed 3mo ago), licensed MIT. It adds 105 tokens to every session and 1,391 once invoked, about $0.0005 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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