When you need to manage grants as a live pipeline rather than a list,Documentation Index
Fetch the complete documentation index at: https://mintlify.com/jsagir/mindrian-os-plugin/llms.txt
Use this file to discover all available pages before exploring further.
/mos:opportunities surfaces the Opportunity Bank with HSI scores and decision states. Funding deserves the same rigor as product. The command does not search for grants by category — it reads your room’s specific domain, geography, venture stage, and problem definition, then generates search queries from that context. Every room gets different results.
Usage
| Subcommand | Description |
|---|---|
scan | Context-driven grant discovery — reads your room and searches Grants.gov and Simpler Grants |
list | Browse all banked opportunities ordered by HSI score, with optional filters |
add | Manually add an opportunity to the bank |
How Opportunities Enter the Bank
Opportunities enter through two distinct paths:Grant discovery (scan)
External funding opportunities from Grants.gov and Simpler Grants, surfaced after you confirm. Nothing files automatically — you review results and decide.
Intelligence cascade (automatic)
Every methodology command that triggers
analyze-room extracts gaps, convergences, and contradictions as bankable opportunities. These are filed automatically with no user action needed.- Risk — a known problem with quantifiable odds
- Uncertainty — an unknown problem requiring exploration
- Mixed — a contradiction that could go either way
What Happens: scan
Room context read
Larry reads your room’s
STATE.md (domain, geography, venture stage) and problem-definition/ content to understand your specific venture context.Query generation from room data
Search queries are generated from YOUR room data —
domain_keywords become API keyword parameters, geography becomes eligibility filters, venture_stage drives grant type matching (e.g. SBIR for pre-revenue). Not hardcoded searches.Concurrent API search
Larry searches Grants.gov and Simpler Grants APIs concurrently, deduplicates results, and scores each by relevance to your room.
Results presented with HSI scores
Opportunities are surfaced in a table showing funder, program, amount, deadline, and relevance score. Larry explains the reasoning for each match.
If your room lacks sufficient context for grant discovery — no
domain_keywords in STATE.md, sparse problem-definition/ content, or no geography — Larry will explain exactly what’s missing and point you to /mos:room update.What Happens: list
The list subcommand shows all banked opportunities in a unified table covering both grant-scanned and cascade-extracted opportunities:
| # | Source | Program / Problem | Knight Position | Confidence | Deadline | Status |
|---|---|---|---|---|---|---|
| 1 | NIH | SBIR Phase I | risk | 0.85 | 2026-06-01 | filed |
| 2 | diagnose | Missing structural coverage in market-analysis | uncertainty | 0.80 | — | banked |
Filter Flags
| Flag | Description |
|---|---|
--domain <name> | Filter by domain (partial match, case-insensitive) |
--knight <position> | Filter by Knight position: risk, uncertainty, or mixed |
--min-confidence <N> | Filter by minimum confidence score (0.0–1.0) |
Rejection Handling
When you reject an opportunity, capturing the reason matters. Rejection is data — the reason is recorded inopportunity-bank/STATE.md and informs future scans, making them progressively smarter.
Larry will ask: “Why are you passing on this one? This helps me find better matches next time.”
Discovery is Context-Driven
The key distinction: Larry does not search for “AI grants” because a category is hardcoded. Larry searches for grants that match this room’s specific problem domain, geography, team profile, and venture stage. The room context generates the search queries:| Room data | How it drives discovery |
|---|---|
domain_keywords in STATE.md | API keyword parameters and funding categories |
geography in STATE.md | Eligibility filters |
venture_stage in STATE.md | Grant type matching (SBIR for pre-revenue, etc.) |
problem-definition/ content | Additional domain terms |
Examples
Related Commands
/mos:qualify-opportunity
Run the full Q1–Q8 qualification card on a surfaced candidate before filing it.
/mos:research
Pull fresh web evidence that informs grant relevance and opportunity context.
/mos:graph
Query the opportunity graph to surface gaps, contradictions, and connections across the bank.
/mos:find-connections
Discover non-obvious cross-domain patterns that could reveal new funding angles.