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 sandbaseai/sandbase-skills --skill cash-flow-snapshotgit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWrote 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/sandbaseai/sandbase-skills/cash-flow-snapshot)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/cash-flow-snapshot"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/cash-flow-snapshot/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/sandbaseai/sandbase-skills/cash-flow-snapshot"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/cash-flow-snapshot.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 | $0.00052 | $0.01683 |
| Opus 5 | $0.00026 | $0.00842 |
| Sonnet 5 | $0.00010 | $0.00337 |
| Haiku 4.5 | $0.00005 | $0.00168 |
Grade A, and why
cash-flow-snapshot 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 7d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cash Flow Snapshot
Produces a 30/60/90-day cash flow forecast with percentage-variance confidence bands and named risk flags. Delivers a two-part output: a concise chat summary and a downloadable XLSX workbook.
When inputs are supplied through report URLs, read the SandBase API map. Resolve the current schema with sandbase_describe_tool before using a listed capability through sandbase_call_tool.
Quick start
"Will I make payroll next month?"
The agent pulls AR/AP and fixed costs from authorized connected sources or supplied files, calculates expected inflows and outflows across 30, 60, and 90-day windows, applies confidence bands based on each customer's historical payment variance, and flags specific risks by name.
Workflow
Step 1 — Identify available data sources
Check which authorized sources are available. Prefer them in this order when present:
- QuickBooks — primary source for AR aging, AP, and fixed costs
- PayPal — transaction history and settlement timing
- Stripe — charge and payout history
- Square — sales and payout history
- CSV upload — fallback if no connector is connected
If no connector is live and no file is attached, ask the user to either connect a source or upload a CSV (income/expense tabular data, any reasonable format). Note which sources were used in the output — this affects confidence band width.
Step 2 — Pull the data
From QuickBooks:
- Opening cash balance and as-of date
- AR aging report: customer name, invoice amount, invoice date, due date, days outstanding
- AP: vendor name, amount due, due date
- Recurring fixed costs: rent, payroll, subscriptions (look for recurring transactions)
From PayPal / Stripe / Square:
- Settlement history: transaction date, amount, settlement date
- Use settlement lag (transaction date → payout date) to compute each source's average and variance payment delay
From CSV upload:
- Parse as income/expense tabular data
- Required columns (flexible naming): date, amount, type (income or expense), description
- If columns are ambiguous, show the header row and ask the user to confirm mapping
- Obtain an opening cash balance and as-of date before claiming ending liquidity or payroll coverage
What ships with it
3 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.
- 7d ago First seen · 178 lines · 52 tokens per session scan A 38cbe7f2be72
cash-flow-snapshot is a skill published in the GitHub repository sandbaseai/sandbase-skills (151 stars, last pushed 3d ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,683 once invoked, about $0.0003 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 2026-09-03.
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