Forecasting
Build a financial forecast (revenue, P&L, cash) from drivers and assumptions, with a clear method and ranges. Use when projecting performance for planning, valuation, or fundraising.
Install
$ agentstack add skill-m-binimran-finance-pack-forecasting ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
forecasting
A forecast is a driver tree plus assumptions. Make the drivers and the method explicit.
Process
- Pick the method: driver-based (units x price, funnel, cohorts) > naive growth %. Bottom-up where possible.
- Anchor to sourced historicals and a base rate; don't extrapolate a recent spike blindly.
- Build the drivers: revenue drivers, margin assumptions, cost structure (fixed vs. variable), working
capital, capex. State each assumption and where it came from.
- Project the P&L (and cash if needed) over the horizon; keep it consistent with the drivers.
- Ranges + scenarios: base/bull/bear, and the 2-3 assumptions that matter most (
scenario-analysis). - Reality-check against capacity, market size, and history - flag anything that implies the impossible.
Output
- The forecast (driver assumptions + projected P&L), a base/bull/bear range, and the key swing assumptions -
all labeled as estimates.
Guardrails
- Projections labeled with assumptions (
projection-guard); historicals sourced (data-integrity). - Give ranges, not false precision; sanity-check against base rates (
methodology).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: m-binimran
- Source: m-binimran/finance-pack
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.