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 Fusion-Data-Company/bristol-os --skill site-selectiongit clone --depth 1 https://github.com/Fusion-Data-Company/bristol-osWrote 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/fusion-data-company/bristol-os/site-selection)<a href="https://agentmods.dev/skills/fusion-data-company/bristol-os/site-selection"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/site-selection/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/fusion-data-company/bristol-os/site-selection"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/site-selection.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 | $0.00067 | $0.00584 |
| Opus 5 | $0.00034 | $0.00292 |
| Sonnet 5 | $0.00013 | $0.00117 |
| Haiku 4.5 | $0.00007 | $0.00058 |
Grade A, and why
site-selection 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.
How it starts
The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Site Selection
Help Bristol decide WHERE to develop. Screen submarkets/sites against the fundamentals a multifamily developer actually uses, then rank and document.
When to use
"Where should we look next?", "evaluate this site/submarket," "compare these three areas," "is [address/submarket] worth pursuing?"
Inputs to gather (ask briefly, default sensibly)
- Geography under consideration (metro, submarket, or specific parcel/address).
- Product type (garden, mid-rise, urban infill, mixed-use) and rough unit count.
- Any constraints (budget/basis target, timeline, partner requirements).
Screening framework (research each, cite sources + dates)
- Demand drivers — job growth, major employers/expansions, population & household growth, migration trends.
- Demographics — household incomes, renter share, age cohorts, growth.
- Rent & occupancy — current achievable rents, occupancy/vacancy, recent rent trend (pull comps via market-comp-analysis play).
- Supply pipeline — units under construction / planned in the submarket; deliveries vs. absorption. This is the #1 thing that kills multifamily deals.
- Basis & land — land pricing, total cost per unit/per SF feasibility, comparable land sales.
- Hard data on the site (if a specific parcel): zoning/entitlement status, parcel size, owner of record (use investor-sourcing play for owner lookup), flood/environmental flags, frontage/access, utilities.
- Yield-on-cost logic — does the achievable rent support a development yield with a healthy spread over the market exit cap rate?
- Risks — entitlement difficulty, NIMBY/political, infrastructure, concentration of competing deliveries.
Output
- Site / submarket one-pager using
bristol-os/templates/site-one-pager.md, saved to the deal folder. - If comparing multiple: a ranked comparison table scoring each on the framework, with a clear recommended order and the reasoning.
- Always: bottom-line recommendation (pursue / pass / need more data) + the 2–3 factors that drove it.
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 · 37 lines · 67 tokens per session scan A a55745bfdeaa
site-selection is a skill published in the GitHub repository Fusion-Data-Company/bristol-os (1 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 584 once invoked, about $0.0003 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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