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 cmagit 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/cma)<a href="https://agentmods.dev/skills/m-binimran/real-estate-pack/cma"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/cma/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/cma"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/cma.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 | $0.00039 | $0.00352 |
| Opus 5 | $0.00019 | $0.00176 |
| Sonnet 5 | $0.00008 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
cma 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 9d 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
cma
A CMA is an opinion of value for pricing - not an appraisal (say so). It must be built on real comps.
Process
- Subject profile: location, sqft, beds/baths, lot, condition, age, key features.
- Pull real comps: recent (ideally < 6 months) sold properties, same area, similar size/type. Note active + pending for current competition. Use actual MLS/public-record data - never invented addresses/prices.
- Adjust each comp to the subject for material differences (sqft, condition, garage, lot, updates, location). Show the adjustment direction and rough magnitude; be conservative and consistent.
- Reconcile to a supported price RANGE (not a single false-precision number), weighting the most similar comps.
- Explain the rationale so the client understands the range and the market trend.
Output
- A comps table (address, sold price, date, sqft, key diffs, adjustment), the suggested range, and a plain-English rationale. Flag any comp data the agent must confirm in the MLS.
Guardrails
- Label it clearly: opinion of value for pricing, not an appraisal (only a licensed appraiser appraises).
- No fabricated comps or prices (the
truth-tellingrule). If data is missing, say so - don't fill the gap. - Stay objective; don't anchor to the seller's wish price.
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.
- 9d ago First seen · 27 lines · 39 tokens per session scan A 2d3ba1b1fe6e
cma is a skill published in the GitHub repository m-binimran/real-estate-pack (2 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 352 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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