Install
$ agentstack add skill-ruinius-financial-analyst-skills-financial-modeling ✓ 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.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Financial Modeling (Phase 6)
All modeling logic is consolidated into a single script that executes the complete sequence: WACC → Assumptions → DCF → Intrinsic Value.
- Execute the script:
python skills/financial_modeling/scripts/calculate.py {TICKER} {TICKER_metadata_path} - Verify it threw no errors.
What the Script Does
| Step | Action | Details | |------|--------|---------| | 1 | Fetch Market Data | Calls tools/market_data.py profile {TICKER} for share price, beta, market cap | | 2 | Read Historical Data | Parses Financial History table from metadata for L4Q averages | | 3 | Read Qualitative Data | Parses Economic Moat, Margin Outlook, Growth Outlook from metadata | | 4 | Calculate WACC | CAPM with Blume-adjusted beta, capital structure weights | | 5 | Generate Assumptions | Three-stage DCF assumptions blending historical trends + qualitative outlook | | 6 | Run DCF Projections | 10-year projections with interpolated growth/margin, terminal value via Gordon Growth | | 7 | Compute Intrinsic Value | Equity bridge: EV + Cash - Debt → Per Share | | 7b | FX & ADR Conversion | If reporting currency != USD, convert IVPS to USD. Apply ADR ratio to share count if applicable | | 8 | Update Metadata | Replaces WACC, Assumptions, DCF Model, and Intrinsic Value sections in markdown |
Prerequisites
output_data/TICKER/TICKER_metadata.mdmust exist with Financial History and Qualitative Assessment sections- Internet access required for Yahoo Finance market data lookup
- Python 3.10+ with
yfinanceinstalled
Key Parameters
| Parameter | Source | Default | |-----------|--------|---------| | Risk-Free Rate | Hardcoded (TODO: fetch 10Y Treasury) | 4.20% | | Equity Risk Premium | Hardcoded | 5.00% | | Terminal Growth | Moat rating: Wide=4%, Narrow=3%, None=2.5% | 3.00% | | MCT | Derived from IC, default if negative IC | 100.0x | | Tax Rate (statutory) | Hardcoded for WACC | 25% | | Tax Rate (NOPAT) | L4Q average adjusted tax rate | Varies | | WACC Bounds | Floor 6%, Cap 15% | — | | FX Rate | market_data.py if Currency != USD | 1.0 | | ADR Ratio | Parsed from metadata header | 1.0 |
Changelog
- 2026-05-06: Fixed crash when Yahoo Finance returns
nullfor beta. Added explicit checks forshare_price,market_cap, andshares_outstanding.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Ruinius
- Source: Ruinius/financial-analyst-skills
- 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.