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 olano-ai/mcp-singapore --skill analyze-singapore-propertygit clone --depth 1 https://github.com/olano-ai/mcp-singaporeWrote 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/olano-ai/mcp-singapore/analyze-singapore-property)<a href="https://agentmods.dev/skills/olano-ai/mcp-singapore/analyze-singapore-property"><img src="https://agentmods.dev/badge/skills/olano-ai/mcp-singapore/analyze-singapore-property/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/olano-ai/mcp-singapore/analyze-singapore-property"><img src="https://agentmods.dev/badge/skills/olano-ai/mcp-singapore/analyze-singapore-property.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 | $0.00049 | $0.00317 |
| Opus 5 | $0.00024 | $0.00159 |
| Sonnet 5 | $0.00010 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
analyze-singapore-property 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 12d 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
Analyze Singapore Property
- Identify the property type, place, period, comparable constraints, price, and financing assumptions.
- Resolve ambiguous locations with
onemap_search. - Check freshness. For filtered HDB transactions, latest-period results, medians, quartiles, or price-per-square-metre statistics, use
hdb_resale_stats; it performs the bounded calculation inside the MCP and returns the selected rows. Usehdb_resale_searchonly for raw sorted pagination. Useura_private_property_*for private property. - Explain why transactions are comparable and separate tenure, area, storey, lease, project, and period differences.
- Add
lta_*,hdb_carparks_*,schools_*, orchildcare_*context only when relevant. - Use
finance_mortgage_rates_latestorfinance_mortgage_rates_historyfor official reference-rate context, thenfinance_mortgage_payment,finance_mortgage_stress_test, andfinance_mortgage_affordabilityfor transparent scenarios.
Separate observed transactions from calculations and interpretation. This is not a valuation, offer price, lender approval, regulatory determination, or personal financial advice. Cite current MoneySense or government rules and their check date.
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.
- 12d ago First seen · 16 lines · 49 tokens per session scan A b488f013daf0
analyze-singapore-property is a skill published in the GitHub repository olano-ai/mcp-singapore (7 stars, last pushed 8d ago), licensed MIT. It adds 49 tokens to every session and 317 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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