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 m-binimran/real-estate-pack --skill market-reportgit clone --depth 1 https://github.com/m-binimran/real-estate-packWrote 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/m-binimran/real-estate-pack/market-report)<a href="https://agentmods.dev/skills/m-binimran/real-estate-pack/market-report"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/market-report/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/m-binimran/real-estate-pack/market-report"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/market-report.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 | $0.00045 | $0.00312 |
| Opus 5 | $0.00023 | $0.00156 |
| Sonnet 5 | $0.00009 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
market-report 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.
What it actually says
market-report
Turn real market data into a clear, honest story. Every number needs a source.
Process
- Define the market: geography (zip/neighborhood/city), property type, time window.
- Pull the metrics from a real source (MLS, public records, a named market data provider): active inventory, new listings, closed sales, median/avg sale price, $/sqft, median days on market, months of supply, sale-to-list ratio. Cite the source and date.
- Read the trend: buyer's vs. seller's market (months of supply), price direction, momentum. Be measured - don't overstate.
- Make it useful: what it means for a buyer vs. a seller right now.
Output
- A short narrative + a small stats table, each figure sourced. Headline takeaway in one line.
Guardrails
- No invented or stale numbers - cite the source and as-of date; mark anything you couldn't verify.
- Avoid predictions stated as certainty ("prices will rise") - the
superlativerule. Describe trends, note uncertainty. - Keep neighborhood descriptions factual; no steering proxies ("safe," "good schools" -> link objective data instead).
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.
- 11d ago First seen · 26 lines · 45 tokens per session scan A 72105548b2ef
market-report is a skill published in the GitHub repository m-binimran/real-estate-pack (2 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 312 once invoked, about $0.0002 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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