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 DataSift-Ty-Personal/SiftStack --skill real-estate-compinggit clone --depth 1 https://github.com/DataSift-Ty-Personal/SiftStackWrote 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/datasift-ty-personal/siftstack/real-estate-comping)<a href="https://agentmods.dev/skills/datasift-ty-personal/siftstack/real-estate-comping"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/real-estate-comping/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/datasift-ty-personal/siftstack/real-estate-comping"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/real-estate-comping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00107 | $0.02113 |
| Opus 5.5 | $0.00043 | $0.00845 |
| Sonnet 5.5 | $0.00021 | $0.00423 |
| Haiku 4.5 | $0.00011 | $0.00211 |
Grade A, and why
real-estate-comping 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 2mo 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Real Estate Comping Skill
Perform appraiser-grade property valuations using the Two-Bucket method for disclosure states or the Triangulation method for non-disclosure states. This skill is strictly about comparable sales analysis and ARV determination — it does not estimate rehab costs, renovation budgets, or scope of work. If the user needs rehab cost estimation, direct them to the appropriate skill for that.
Workflow Overview
- Identify property location → Determine state from address
- Route to correct methodology → Disclosure or Non-Disclosure framework
- Execute 9-step analysis → Follow the appropriate prompt framework
- Generate deliverables → PDF summary report + Excel breakdown + comps table
State Detection & Routing
Determine state type from property address:
- Non-Disclosure States (sold prices not publicly recorded): TX, UT, WY, NM, ID, MT, ND, AK, KS, MS, LA, MO
- Disclosure States: All other US states
Routing:
- Non-disclosure state → Read
references/non-disclosure-prompt.md - Disclosure state → Read
references/disclosure-prompt.md
Quick Reference
| Framework | States | Key Method | Price Source |
|---|---|---|---|
| Disclosure | Most US states | Two-Bucket (Unrenovated vs Renovated PPSF) | MLS sold prices |
| Non-Disclosure | TX, UT, WY, NM, ID, MT, ND, AK, KS, MS, LA, MO | Triangulation (LLP + DOM, Deed of Trust, Tax Ratio) | Derived estimates |
Core Comping Rules (Both Frameworks)
These rules apply regardless of disclosure status:
Comp Selection Filters
- Age: ≤90 days preferred, 6 months max
- Subdivision: Same micro-pocket, do not cross major roads
- GLA: ±100 sqft ideal, ±250 sqft outer bound
- Property type: Match elevation style (ranch↔ranch, 2-story↔2-story)
- Build year: ±10 years
Feature Adjustments (by price tier)
See references/adjustment-cheatsheet.md for complete adjustment values.
Quick reference:
| Feature | <$500k Tier | >$500k Tier |
|---|---|---|
| Bedroom | +$10k | +$25k |
| Bathroom | ±$10k | ±$10k |
| Garage | +$10-25k | +$10-25k |
| Traffic (backing) | -$10k | -10-15% |
| Traffic (fronting) | -$20k | -20% |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 214 lines · 107 tokens per session scan A 705350ca5cad
real-estate-comping is a skill published in the GitHub repository DataSift-Ty-Personal/SiftStack (23 stars, last pushed 23d ago), licensed MIT. It adds 107 tokens to every session and 2,113 once invoked, about $0.0004 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 2026-08-30.
real-estate-comping compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| real-estate-compingDataSift-Ty-Personal/SiftStack | Skill | 23 | 23d ago | MIT | A | 107 | Claude Code |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 39 | Claude Code, Codex |
| twitter-readerhimself65/finance-skills | Skill | 3.5k | 3d ago | MIT | A | 110 | Claude Code |
| strategy-pivot-designertradermonty/claude-trading-skills | Skill | 3.7k | 2d ago | MIT | A | 28 | Claude Code, Codex |
| energy-procurementhashgraph-online/awesome-codex-plugins | Skill | 1.5k | yesterday | Apache-2.0 | A | 93 | Claude Code, Codex |
| airdrop-hunting-guidenirholas/three.ws | Skill | 269 | yesterday | Apache-2.0 | A | 54 | Claude Code, Codex |
| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 2d ago | GPL-2.0 | A | 292 | Codex |