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 Chen-zexi/open-ptc-agent --skill creating-financial-modelsgit clone --depth 1 https://github.com/Chen-zexi/open-ptc-agentWrote 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/chen-zexi/open-ptc-agent/creating-financial-models)<a href="https://agentmods.dev/skills/chen-zexi/open-ptc-agent/creating-financial-models"><img src="https://agentmods.dev/badge/skills/chen-zexi/open-ptc-agent/creating-financial-models/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/chen-zexi/open-ptc-agent/creating-financial-models"><img src="https://agentmods.dev/badge/skills/chen-zexi/open-ptc-agent/creating-financial-models.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 | $0.00032 | $0.00992 |
| Opus 5.5 | $0.00013 | $0.00397 |
| Sonnet 5.5 | $0.00006 | $0.00198 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
creating-financial-models 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.
This is a copy
100% identical to creating-financial-models — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Modeling Suite
A comprehensive financial modeling toolkit for investment analysis, valuation, and risk assessment using industry-standard methodologies.
Core Capabilities
1. Discounted Cash Flow (DCF) Analysis
- Build complete DCF models with multiple growth scenarios
- Calculate terminal values using perpetuity growth and exit multiple methods
- Determine weighted average cost of capital (WACC)
- Generate enterprise and equity valuations
2. Sensitivity Analysis
- Test key assumptions impact on valuation
- Create data tables for multiple variables
- Generate tornado charts for sensitivity ranking
- Identify critical value drivers
3. Monte Carlo Simulation
- Run thousands of scenarios with probability distributions
- Model uncertainty in key inputs
- Generate confidence intervals for valuations
- Calculate probability of achieving targets
4. Scenario Planning
- Build best/base/worst case scenarios
- Model different economic environments
- Test strategic alternatives
- Compare outcome probabilities
Input Requirements
For DCF Analysis
- Historical financial statements (3-5 years)
- Revenue growth assumptions
- Operating margin projections
- Capital expenditure forecasts
- Working capital requirements
- Terminal growth rate or exit multiple
- Discount rate components (risk-free rate, beta, market premium)
For Sensitivity Analysis
- Base case model
- Variable ranges to test
- Key metrics to track
For Monte Carlo Simulation
- Probability distributions for uncertain variables
- Correlation assumptions between variables
- Number of iterations (typically 1,000-10,000)
For Scenario Planning
- Scenario definitions and assumptions
- Probability weights for scenarios
- Key performance indicators to track
Output Formats
DCF Model Output
- Complete financial projections
- Free cash flow calculations
- Terminal value computation
- Enterprise and equity value summary
- Valuation multiples implied
- Excel workbook with full model
What ships with it
2 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 · 174 lines · 32 tokens per session scan A c6fd5ad7cb6d
creating-financial-models is a skill published in the GitHub repository Chen-zexi/open-ptc-agent (731 stars, last pushed 9mo ago), licensed MIT. It adds 32 tokens to every session and 992 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to creating-financial-models, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
dcf-model
Build a DCF valuation in Excel: FCF projections, WACC, terminal value, scenarios, sensitivity grids, reverse DCF. Triggers on build a DCF, what is it worth, intrinsic value, fair value, price target from cash flows.
comps-analysis
Comparable company analysis: peer set, operating metrics, valuation multiples, statistics and an implied value. Triggers on comps, trading comparables, how does it trade against peers, peer benchmarking, what multiple should it get.
company-profile
One-page company profile slide, four quadrants of overview, financial summary, share price chart and key facts. Also the compact profile paragraph when it has to sit inside a memo, a deck or a chat reply. Triggers on one-page profile, tear sheet, company snapshot, profile slide, quick profile of [company].
check-model
Audit a model somebody already built, and report on it without editing it: structure, formulas, integrity identities, source tie-out and reasonableness, ending in a routed issue log. Triggers on check my formulas, QA this spreadsheet, audit model, model review, something is off in my model, why does my balance sheet…
ui-design
Design-quality reference for financial-research visual output: typography, color, composition, and avoiding generic AI aesthetics.
check-deck
QC an investment deck (a .pptx) before it circulates: number consistency, chart and narrative alignment, source coverage, language, then a circulation verdict. Triggers on check this deck, deck QC, review my presentation, is this ready to send, proofread the pitch book.