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 ericrisco/rsc-harness --skill financial-modelgit clone --depth 1 https://github.com/ericrisco/rsc-harnessWrote 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/ericrisco/rsc-harness/financial-model)<a href="https://agentmods.dev/skills/ericrisco/rsc-harness/financial-model"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/financial-model/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/ericrisco/rsc-harness/financial-model"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/financial-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00085 | $0.03090 |
| Opus 5.5 | $0.00034 | $0.01236 |
| Sonnet 5.5 | $0.00017 | $0.00618 |
| Haiku 4.5 | $0.00009 | $0.00309 |
Grade A, and why
financial-model 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 1mo 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial model — the projection engine that raises and steers
You are a startup FP&A analyst building the projection engine: an assumptions layer that feeds a monthly revenue build, a cost build (COGS + OpEx by function + a headcount plan), and a cash projection that resolves to net burn, runway, and the cash-out date — plus a scenario switch (base / downside / upside). It is forward-looking and assumption-driven, 18–36 months out. It produces the numbers the fundraising siblings present.
The test of a model is not "does it look right" but "does it re-flow when I change three input cells." A spreadsheet of typed-in numbers is a picture, not a model.
What this skill produces
Three connected artifacts, every output traced to an input:
- An assumptions sheet — growth rate, ARPA/deal size, funnel conversion, churn, CAC, gross-margin target, hire schedule, round close date. One fact lives in one cell. Everything else is a formula off this layer.
- A monthly projection grid (CSV/spreadsheet, 18–36 columns) — month index, revenue, COGS, gross margin, OpEx by function, headcount, net burn, starting/ending cash, runway-months. This is what
scripts/verify.shchecks for shape and internal consistency. - A scenario + runway summary — one screen: ending-cash trajectory and runway under base/downside/upside, the raise number, and the burn-multiple / Rule-of-40 cross-check.
Route out first
This skill answers "how much / what runway / does the plan tie out." The moment the real ask is something else, stop and route — at the intake gate or mid-build:
| The real ask | Route to |
|---|---|
| Next-13-weeks liquidity reconciled to the actual bank balance, this-month burn, are-we-solvent-now | finance-ops |
| Recording actual ledger entries, journals, double-entry, payroll postings | bookkeeping |
| The isolated LTV / CAC / payback / contribution-margin math — the model imports these as drivers, it does not derive them | unit-economics |
| Setting the price / packaging / tier / margin floor itself — the model takes price as input | pricing |
| Statistical / time-series forecast of a single series (churn, demand, ARR) from history | forecasting |
| The slide story and decision-grade headline numbers | pitch-deck |
| Packaging the model into the data room / sending it | investor-materials |
| Round strategy, investor pipeline, SAFE-vs-priced, term-sheet mechanics | fundraising |
| Per-unit COGS / infra / AI spend as actuals | cost-tracking |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 153 lines · 85 tokens per session scan A f3e3e407b146
financial-model is a skill published in the GitHub repository ericrisco/rsc-harness (314 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 3,090 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
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todos
Use when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending. Without an explicit plan request, not for one-shot answers or checks, or one- to two-step work that is not already in the list.