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 investor-sourcinggit 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/investor-sourcing)<a href="https://agentmods.dev/skills/fusion-data-company/bristol-os/investor-sourcing"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/investor-sourcing/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/investor-sourcing"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/investor-sourcing.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 | $0.00076 | $0.00623 |
| Opus 5 | $0.00038 | $0.00311 |
| Sonnet 5 | $0.00015 | $0.00125 |
| Haiku 4.5 | $0.00008 | $0.00062 |
Grade A, and why
investor-sourcing 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.
Investor & Owner Sourcing
Two clean jobs: (1) research capital partners / LPs for a raise, and (2) identify who owns or controls a property or entity from public records — the legitimate, defensible version of "finding the right person."
When to use
"Who could we raise this from?", "research [firm] as a capital partner," "who owns this site?", "what's behind this LLC?", "background on [investor/owner]."
Data sources
- Capital partners / firms: public records (SEC, Secretary of State filings), licensed B2B data (Apollo, Lusha, Harmonic, CB Insights, ZoomInfo), company websites, reputable press, professional networks.
- Property owners: Bristol's Quarry engine (
quarry-parcelsskill) for owner of record, mailing address, and owner phone/email; plus Yardisearch_by_ownerand county records.
Job 1 — Capital partner / LP research
- Define the raise: amount, structure (LP equity, JV, preferred, debt), deal profile, market.
- Identify candidate partners that fit (active multifamily allocators, family offices, funds, JV equity groups, regional banks/debt). Use CB Insights/Harmonic if connected, else web research.
- For each candidate, assemble a profile: focus (product/market/check size), recent activity, what they look for, and the right business point of contact (B2B sources only).
- Rank by fit to this deal and to Bristol's profile.
- Output: a target list with profiles, fit rationale, and suggested approach. Save to the deal folder.
Job 2 — Owner / entity research (who controls a parcel)
- Start with the parcel: county assessor/recorder records for owner of record; Yardi
search_by_ownerif connected. - If the owner is an entity (LLC/LP), trace it through Secretary of State business filings to the registered agent/principals (public filings).
- Summarize: owner of record, entity chain, principals/contacts available from public/business sources, and any relevant transaction history.
- Output: an owner brief for outreach or acquisition strategy. Cite each record.
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 · 76 tokens per session scan A 1d711fffa558
investor-sourcing is a skill published in the GitHub repository Fusion-Data-Company/bristol-os (1 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 623 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.
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