Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value.
Install Biz Dcf
$ npx skills add asgard-ai-platform/skills --skill biz-dcf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills biz-dcf --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/biz-dcf .claude/skills/biz-dcf && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "biz-dcf" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-dcf into .claude/skills/biz-dcf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-dcf", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/asgard-ai-platform/skills/tree/main/biz-dcfType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add asgard-ai-platform/skills --skill biz-dcf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills biz-dcf --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/biz-dcf .agents/skills/biz-dcf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "biz-dcf" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-dcf into .agents/skills/biz-dcf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-dcf", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill biz-dcf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills biz-dcf --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/biz-dcf .cursor/skills/biz-dcf && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "biz-dcf" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-dcf into .cursor/skills/biz-dcf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-dcf", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/asgard-ai-platform/skills.git --path biz-dcf--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgard-ai-platform/skills --skill biz-dcf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills biz-dcf --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/biz-dcf .gemini/skills/biz-dcf && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "biz-dcf" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-dcf into .gemini/skills/biz-dcf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-dcf", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install asgard-ai-platform/skills biz-dcfInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add asgard-ai-platform/skills --skill biz-dcf -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/biz-dcf .github/skills/biz-dcf && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "biz-dcf" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-dcf into .github/skills/biz-dcf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-dcf", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill biz-dcf -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills biz-dcf --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/biz-dcf .opencode/skills/biz-dcf && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "biz-dcf" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-dcf into .opencode/skills/biz-dcf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-dcf", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
biz-dcf- GitHub stars
- 242
- Token cost
- ~1.4k tokens
- SKILL.md length
- 444 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value.
- Works in 5 steps: Project Free Cash Flows (5-10 years) → Calculate WACC → Calculate Terminal Value → …
- The user needs to value a company
- SKILL.md covers Overview, When to Use, Framework and Output Format, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
Biz Dcf is an agent skill from asgard-ai-platform/skills. Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value. Use this skill when the user needs to value a company, evaluate an investment, estimate fair share price, or build financial projections — even if they say 'what is this company worth', 'should we acquire them', or 'build me a valuation model'.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `examples/sample_input.json`, `references/comparables.md` and `references/wacc-calculation.md`).
It sits in Business, Finance & HR, covering Financial modeling. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to value a company
- Evaluate an investment
- Estimate fair share price
- Build financial projections — even if they say what is this company worth
Example prompts
- “what is this company worth”
- “should we acquire them”
- “build me a valuation model”
- “/biz-dcf”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Biz Dcf loads about 1.4k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 444 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 444 words, ~1,353 tokens.
Download SKILL.mdSave it as
.claude/skills/biz-dcf/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- biz-dcf
- description
- Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value. Use this skill when the user needs to value a company, evaluate an investment, estimate fair share price, or build financial projections — even if they say 'what is this company worth', 'should we acquire them', or 'build me a valuation model'.
- metadata.category
- WP-15 商學院—財務
- metadata.tags
- finance, dcf, valuation
Discounted Cash Flow (DCF) Valuation
Overview
DCF estimates a company's intrinsic value by projecting future free cash flows and discounting them to present value using WACC. It answers "what is this business worth based on its future cash generation ability?"
When to Use
Trigger conditions:
- User needs to value a company or business unit
- User evaluating M&A targets or investment opportunities
- User asks "what's the fair price?" or "build a valuation model"
When NOT to use:
- For early-stage startups with no revenue → use comparables or venture method
- For quick relative valuation → use multiples (P/E, EV/EBITDA)
- For portfolio-level decisions → use BCG Matrix
Framework
IRON LAW: Garbage In, Garbage Out
DCF output is ONLY as good as its assumptions. Every assumption (growth rate,
margin, WACC, terminal growth) must be explicitly stated with justification.
A DCF without an assumptions table is worthless.IRON LAW: Terminal Value Dominates — Handle with Care
Terminal value typically represents 60-80% of total DCF value. If your
terminal growth rate exceeds long-term GDP growth (~2-3%), you're implying
the company will eventually become larger than the economy. Cap terminal
growth at the risk-free rate or GDP growth.Step 1: Project Free Cash Flows (5-10 years)
FCF = EBIT × (1 - Tax Rate) + Depreciation - CapEx - ΔWorking CapitalBuild projections from:
- Revenue growth assumptions (top-down or bottom-up)
- Operating margin trajectory
- Capital expenditure requirements
- Working capital changes
Step 2: Calculate WACC
WACC = (E/V × Re) + (D/V × Rd × (1 - Tax))Where:
- Re = Cost of equity (use CAPM: Rf + β × Market Risk Premium)
- Rd = Cost of debt (interest rate on borrowings)
- E/V = Equity weight, D/V = Debt weight
Step 3: Calculate Terminal Value
Gordon Growth Model (preferred):
TV = FCF_final × (1 + g) / (WACC - g)Where g = terminal growth rate (cap at 2-3%)
Exit Multiple Method (alternative):
TV = EBITDA_final × EV/EBITDA multipleStep 4: Discount to Present Value
Enterprise Value = Σ FCFt / (1 + WACC)^t + TV / (1 + WACC)^n
Equity Value = Enterprise Value - Net Debt
Per Share Value = Equity Value / Shares OutstandingStep 5: Sensitivity Analysis
Test key assumptions: WACC (±1%), terminal growth (±0.5%), revenue growth (±2%). Present as a sensitivity table.
Output Format
# DCF Valuation: {Company}
## Key Assumptions
| Assumption | Value | Justification |
|-----------|-------|---------------|
| Revenue growth (Y1-5) | X% | {basis} |
| Operating margin (terminal) | X% | {basis} |
| WACC | X% | {calculation} |
| Terminal growth | X% | {basis} |
## Projected Free Cash Flows
| Year | Revenue | EBIT | FCF |
|------|---------|------|-----|
| Y1 | ... | ... | ... |
## Valuation Summary
- PV of FCFs: $X
- PV of Terminal Value: $X (X% of total)
- Enterprise Value: $X
- Less: Net Debt: $X
- Equity Value: $X
- Per Share: $X
## Sensitivity Table
| WACC \ Terminal g | 1.5% | 2.0% | 2.5% |
|-------------------|------|------|------|
| 8% | $X | $X | $X |
| 9% | $X | $X | $X |
| 10% | $X | $X | $X |Examples
Correct Application
Scenario: DCF for a Taiwanese SaaS company (ARR NT$500M, growing 25%)
- Projected 5 years of FCF with declining growth (25% → 15%)
- WACC 10.5% (justified: Rf 1.5%, β 1.2, ERP 6%, debt cost 4%)
- Terminal growth 2.5% (Taiwan GDP growth proxy)
- TV = 72% of enterprise value — within normal range ✓
- Sensitivity table shows $X range across ±1% WACC
Show full SKILL.md (178 more words)Show less
Incorrect Application
- Terminal growth rate of 8% → Implies the company outgrows the economy forever. Violates Iron Law.
- No assumptions table — just "Enterprise Value = NT$2.5B" → No way to validate. Violates Iron Law.
Gotchas
- Terminal value sensitivity: Small changes in terminal growth or WACC swing valuation 20-30%. Always present a range, not a point estimate.
- Circular reference in WACC: WACC needs equity value (market cap), but DCF calculates equity value. Iterate or use target capital structure.
- FCF vs Net Income: DCF uses Free Cash Flow, not earnings. Companies with high capex or working capital needs can have positive earnings but negative FCF.
- Country risk premium: For Taiwan/emerging market companies, add a country risk premium to WACC (typically 1-3%).
- Negative FCF in early years: Growth companies may have negative FCF initially. This is fine — the value comes from later years and terminal value.
Scripts
| Script | Description | Usage |
|---|---|---|
scripts/dcf.py | Compute DCF enterprise value with terminal value | python scripts/dcf.py --help |
Run python scripts/dcf.py --verify to execute built-in sanity tests.
References
- For WACC calculation details, see
references/wacc-calculation.md - For comparable company multiples approach, see
references/comparables.md
© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in biz-dcf of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_input.json
- references/comparables.md
- references/wacc-calculation.md
- scripts/dcf.py
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Biz Dcf next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Biz Dcf this skillasgard-ai-platform/skills | 242 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Equity ResearchrollingSirius/equity-research-skill | 453 | — | ~1.5k | Automated safety check: Pass | MIT | |
| SaaS Metrics Coachrongxinzy/RongxinAI | 154 | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Startup Financial Modelingnicepkg/auto-company | 195 | 11 repos | ~2.8k | Automated safety check: Pass | None | |
| Stock Value AnalyzerFunnyKun/stock-value-analyzer | 141 | — | ~3.3k | Automated safety check: Pass | None |
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Related
Categories
Questions about Biz Dcf
What does Biz Dcf do?
Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value. Biz Dcf is an agent skill from asgard-ai-platform/skills. Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value.
When should I use Biz Dcf?
Biz Dcf fits situations like: the user needs to value a company; evaluate an investment; estimate fair share price; build financial projections — even if they say what is this company worth.
How do I install Biz Dcf in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill biz-dcf -a claude-code`. Or copy the skill folder (biz-dcf in asgard-ai-platform/skills) into .claude/skills/biz-dcf in your project. Claude Code loads it when a task matches its description.
How do I install Biz Dcf in Codex?
Run `npx skills add asgard-ai-platform/skills --skill biz-dcf -a codex`. Or copy the skill folder (biz-dcf in asgard-ai-platform/skills) into .agents/skills/biz-dcf in your project. Codex loads it when a task matches its description.
Can I use Biz Dcf in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill biz-dcf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/biz-dcf, .gemini/skills/biz-dcf, .github/skills/biz-dcf and .opencode/skills/biz-dcf in your project.
What does Biz Dcf need to run?
Going by SKILL.md and its folder, Biz Dcf needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Biz Dcf access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Biz Dcf safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Biz Dcf use?
Biz Dcf is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Biz Dcf use?
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.3k tokens, read only when the agent opens those files.
What are the alternatives to Biz Dcf?
Skills that share tags, products or a category with Biz Dcf: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Equity Research (rollingSirius/equity-research-skill, 453 stars), SaaS Metrics Coach (rongxinzy/RongxinAI, 154 stars) and Startup Financial Modeling (nicepkg/auto-company, 195 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Biz Dcf?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.