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 8vdx1/fundos-mcp --skill fundos-waterfallgit clone --depth 1 https://github.com/8vdx1/fundos-mcpWrote 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/8vdx1/fundos-mcp/fundos-waterfall)<a href="https://agentmods.dev/skills/8vdx1/fundos-mcp/fundos-waterfall"><img src="https://agentmods.dev/badge/skills/8vdx1/fundos-mcp/fundos-waterfall/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/8vdx1/fundos-mcp/fundos-waterfall"><img src="https://agentmods.dev/badge/skills/8vdx1/fundos-mcp/fundos-waterfall.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 | $0.00112 | $0.01926 |
| Opus 5 | $0.00056 | $0.00963 |
| Sonnet 5 | $0.00022 | $0.00385 |
| Haiku 4.5 | $0.00011 | $0.00193 |
Grade A, and why
fundos-waterfall 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 11d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Waterfall Calculations
The LPA controls, not convention. Every default in this document is a market norm that some fund's LPA overrides. Preferred return rate and compounding, catch-up structure, carry basis, fee offsets, recycling — all of it varies. When you don't know the fund's actual terms, say so and state the assumption you used rather than presenting a market default as the answer.
Let FundOS compute it
FundOS implements the fund's own waterfall conventions. Your arithmetic will drift from the books; theirs is what the LP sees on a statement. Compute through the API and use the hand math below to explain the result, not to replace it.
fundos GET /fundos/cfo/accounts # fund vehicles, commitments, capital structure
fundos GET /fundos/investors/lp # LP contributions — pref accrues per contribution
fundos POST /fundos/cfo/waterfall '{"distributable": 85000000, "committed": 40000000, "hurdle_pct": 8, "carry_pct": 20}'
Field names matter here and are not the ones you would guess:
| Field | Notes |
|---|---|
distributable |
The proceeds being split. Not proceeds. |
committed |
Required, must be > 0. Omitting it returns 400 committed must be positive. |
hurdle_pct |
Default 0.08. Accepts either form — 8 and 0.08 both mean 8%. |
carry_pct |
Default 0.20. Same dual form. |
catchup_pct |
Default 1.0 (full catch-up). Fraction only, 0–1. |
There is no fund_account_id on this endpoint — it is a stateless calculator, so pull the
fund's real committed from /fundos/cfo/accounts and pass it in.
The result (under .data) gives lp_total, gp_total, total_distributed, and a tiers
array with label / distributed / lp_amount / gp_amount per tier. Worked example —
85M distributable on 40M committed at 8% / 20% returns LP 76,000,000 and GP 9,000,000
across four tiers (return of capital 40M, preferred return 3.2M, GP catch-up 0.8M, carry
split 41M).
For a single asset's IRR / MOIC / WAL feeding into a scenario:
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.
- 11d ago First seen · 169 lines · 112 tokens per session scan A 402922efd740
fundos-waterfall is a skill published in the GitHub repository 8vdx1/fundos-mcp (1 stars, last pushed 27d ago), licensed MIT. It adds 112 tokens to every session and 1,926 once invoked, about $0.0006 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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