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 market-comp-analysisgit 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/market-comp-analysis)<a href="https://agentmods.dev/skills/fusion-data-company/bristol-os/market-comp-analysis"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/market-comp-analysis/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/market-comp-analysis"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/market-comp-analysis.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 | $0.00073 | $0.00607 |
| Opus 5 | $0.00036 | $0.00303 |
| Sonnet 5 | $0.00015 | $0.00121 |
| Haiku 4.5 | $0.00007 | $0.00061 |
Grade A, and why
market-comp-analysis 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market & Comp Analysis
Build the market picture behind a deal: what rents are achievable, what's competing, where the market is heading.
When to use
"Pull comps for [submarket]," "build me a market study," "what are rents/cap rates doing in [market]," "who are the competitive properties near [site]?"
Inputs
- Subject property/site location and product type.
- Unit mix if known (studio/1BR/2BR/3BR), target rent band if any.
- Radius or named submarket for the comp set.
What to assemble (cite sources + dates)
- Comparable set — 4–8 competing communities: name, location, year built, units, unit mix, current asking rents (by unit type and per SF), concessions, occupancy. Note the source for each.
- Rent trend — direction and rate of rent growth over the last 1–3 years for the submarket.
- Occupancy / vacancy — current and trend.
- Supply pipeline — units under construction and planned nearby; expected delivery timing; absorption pace. Call out oversupply risk explicitly.
- Cap-rate & sales trend — recent multifamily sales/cap rates in the market if available; direction of movement.
- Concessions & lease-up reads — what new deliveries are offering to lease up.
Tools
- Yardi Matrix connector if connected — best for rents, comps, pipeline, ownership.
- Otherwise built-in web search / Tavily / Exa: pull from property marketing sites, market reports (CBRE/JLL/Cushman/Marcus & Millichap), census/BLS, local news on new developments.
- The user can also paste CoStar/RealPage exports — fold those in and cite them as Bristol-provided.
Output
- Market study using
bristol-os/templates/market-study.md, saved to the deal folder. - Comp table (clean, sortable): community, rents by type, $/SF, occupancy, vintage, distance.
- Read on achievable rent for the subject + the supply risk verdict.
- Bottom line: is the market supportive of this deal's rent and absorption assumptions?
Accuracy
- Every comp and number gets a source + date. If a rent is an estimate, label it.
- Don't average across non-comparable product — note when comps are imperfect.
- Distinguish asking rents (advertised) from effective rents (after concessions) and say which you used.
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 · 41 lines · 73 tokens per session scan A 32c6d9b048d3
market-comp-analysis is a skill published in the GitHub repository Fusion-Data-Company/bristol-os (1 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 607 once invoked, about $0.0004 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.
Other skills, from other repositories
trade-execution
Trade execution using price action setups, major trend reversal trading top and bottom, MTR failure continuation, strong bull and bear breakout trading, strong and weak channel trading strategies, trading range strategies, opening range swings, integration with gold.technicalsetups for setup matching and execution…
trade-idea-generation
Systematic trade idea generation framework, fundamental quantitative and qualitative screening pipeline, catalyst-driven trade structuring, macro-to-micro idea translation, 20-60 day long-short portfolio management process.
chart-patterns
Chart pattern recognition, price action patterns, candlestick signal bars, pullback bar counting H1/H2/H3/H4, trend channels, micro channels, trading ranges, breakouts, major trend reversals 5-step sequence, wedges, double tops and bottoms, triangles, head and shoulders, climaxes, measured moves, support and…
challenge
Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion (Munger: invert, always invert), and wrongif falsifiability review. ≈50-finding cap sorted by severity; content-derived…
converge
Append-only gap closure and the cadence engine for research theses. Evaluates artifact CURRENT state (never git history, never task checkboxes) against current pins and wrongif falsifiers, then appends a Convergence section to tasks.md re-proposing the gaps. A clean run leaves tasks.md byte-identical. Deterministic…
constitution
Scaffold and amend the L1 Investment Constitution — [ALLCAPS] placeholder bootstrap, SemVer bump rules, Sync Impact Report, MINOR/MAJOR re-examination dispatch after the gate-5 budget confirm. Thesis creation stays refused until ratification (Q83).