comp-analyzer

comp-analyzer is a skill for Claude Code, Codex from miron-tech/wholesaler-claude-skills. It costs 76 tokens per session (3,709 once invoked), scanned A, original, MIT.

A comparable-sales research tool for real-estate properties. It finds similar recent sales, estimates a property's after-repair value (ARV), and creates a deal-oriented report using public listing and records data.

In plain words
What is it for?
Use it to research comparable properties, calculate an ARV with price-per-square-foot adjustments, apply the 70% rule to estimate a maximum offer, and prepare a report for buyers.
Why use it?
It reduces the manual work of searching multiple property sites and helps check whether a proposed value is supported by comparable sales. It also flags when the available data is limited or unreliable.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to research comparable properties, calculate an ARV with price-per-square-foot adjustments, apply the 70% rule to estimate a maximum offer, and prepare a report for buyers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/miron-tech/wholesaler-claude-skills/comp-analyzer
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 miron-tech/wholesaler-claude-skills --skill comp-analyzer
Clone the repo
git clone --depth 1 https://github.com/miron-tech/wholesaler-claude-skills

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 comp-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/miron-tech/wholesaler-claude-skills/comp-analyzer/github.svg)](https://agentmods.dev/skills/miron-tech/wholesaler-claude-skills/comp-analyzer)
Your own site
<a href="https://agentmods.dev/skills/miron-tech/wholesaler-claude-skills/comp-analyzer"><img src="https://agentmods.dev/badge/skills/miron-tech/wholesaler-claude-skills/comp-analyzer/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 comp-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/miron-tech/wholesaler-claude-skills/comp-analyzer"><img src="https://agentmods.dev/badge/skills/miron-tech/wholesaler-claude-skills/comp-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,709 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 $0.00076 $0.03709
Opus 5.5 $0.00030 $0.01484
Sonnet 5.5 $0.00015 $0.00742
Haiku 4.5 $0.00008 $0.00371

Measured 29d ago against content hash 01667822ef1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

comp-analyzer 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 29d 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.

.claudeskills/comp-analyzer-SKILL.md · 354 lines

How it starts

The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auto-Comp Analyzer Skill

Purpose: Pull comps, calculate ARV, and generate a deal-ready analysis — without spending 30 minutes on Zillow, PropStream, or county records.


PREREQUISITE

  • Perplexity MCP — for searching recent sales, market data, and property values
  • Firecrawl MCP — for scraping Zillow, Redfin, Realtor.com, and county assessor sites for detailed comp data

WHAT THIS SKILL DOES

  • Researches comparable sales within a specified radius of the subject property
  • Pulls comp data from multiple sources (Zillow, Redfin, county records)
  • Calculates ARV using $/sqft analysis with adjustments
  • Applies the 70% rule to determine maximum allowable offer
  • Produces a professional comp report you can share with buyers
  • Flags when comp data is thin or unreliable

WHAT THIS SKILL DOES NOT DO

  • Does not access MLS directly (uses public data sources)
  • Does not replace a professional appraisal
  • Does not guarantee values — estimates based on available public data
  • Does not pull off-market sales that aren't in public records yet

INPUTS NEEDED

Input Required Example
Subject property address Yes "4821 Cedar Ln, Memphis, TN 38118"
Property details Yes "3/2, 1,100 sqft, built 1960"
Property condition Yes "Needs full rehab" or "Cosmetic updates only" or "Turn-key"
Comp radius Helpful "0.5 mile" (default: 1 mile)
Time window Helpful "Last 60 days" (default: 90 days)
Purpose Helpful "Making an offer," "Building a deal package for buyers," "Validating my ARV"
Estimated repairs Helpful "$40,000" (if known)

GOAL

  • Primary: Give the wholesaler a defensible ARV they can use to make offers and sell to buyers with confidence
  • Secondary: Save 30+ minutes of manual comp research per property

FRAMEWORK: The 4-Pass Comp Process

Pass 1 — Wide Search (Perplexity)

Cast a wide net to find recent sales in the area.

Perplexity query:

perplexity_ask: "What [beds]/[baths] single family homes have sold within 1 mile of [address] in the last 90 days? I need specific addresses, sale prices, square footage, sale dates, and property condition (remodeled vs. original). Focus on comparable properties — similar size, similar age, similar construction."

Read the full file on GitHub · 354 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. 29d ago First seen · 354 lines · 76 tokens per session scan A 01667822ef1a

Subscribe to this mod's changes

comp-analyzer is a skill published in the GitHub repository miron-tech/wholesaler-claude-skills (53 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 3,709 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-09.

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