/cs:research-finance — Program budget + burn/runway + capex-vs-opex routing
Run the research-finance skill on this input:
$ARGUMENTS
Three-tool workflow
-
program_budget_planner.py— Build a multi-period budget from work-package lines, apply the F&A rate to an MTDC-style eligible base (excludes capital equipment + subaward portions over $25k), roll up direct / F&A / fully-loaded cost per period with an explicit assumptions block. Industry tuning via--profile. -
burn_runway_tracker.py— Compute average + trailing burn, runway in periods/months, and whether each value-inflection milestone is reachable before cash runs out. Flags accelerating burn and below-threshold runway. -
capex_vs_opex_router.py— Score each cost item against IAS 38 development-phase criteria (or flag ASC 730 expense-as-incurred under US GAAP). Route to CAPITALIZE-CANDIDATE / EXPENSE / FINANCE-OWNER-REVIEW with a named owner. Never books an entry.
Output
- Budget rollup (direct / F&A / fully-loaded) with assumptions
- Runway + milestone verdicts + flags
- Per-item capex/opex routing with named owner
- Top 3 next actions
Hard rule
Every number carries its assumptions; accounting-treatment calls route to a named finance owner. This skill never books an entry or decides treatment.
First run + optimization
- Onboard first:
python3 skills/research-finance/scripts/onboard.py(R&D area, F&A rate, runway threshold, accounting standard, finance owner) — saved config pre-configures every tool.--showlists the questions. - Optimize (opt-in): only if the user asks to optimize/extend runway, hand off to autoresearch via
skills/research-finance/scripts/ar_evaluator.py(runway_months, higher is better).
Distinct from
finance/financial-analysis— that's corporate DCF / close / valuation. This is R&D-program-level.research/grants— that finds funding. This manages money already won.