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
Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside.
Install Fin Company Valuation
$ npx skills add criptogus/agent-evolve-network --skill fin-company-valuation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install criptogus/agent-evolve-network fin-company-valuation --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/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fin-company-valuation .claude/skills/fin-company-valuation && 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 "fin-company-valuation" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-company-valuation into .claude/skills/fin-company-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-company-valuation", 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/criptogus/agent-evolve-network/tree/main/skills/fin-company-valuationType 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 criptogus/agent-evolve-network --skill fin-company-valuation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install criptogus/agent-evolve-network fin-company-valuation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fin-company-valuation .agents/skills/fin-company-valuation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fin-company-valuation" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-company-valuation into .agents/skills/fin-company-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-company-valuation", 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 criptogus/agent-evolve-network --skill fin-company-valuation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install criptogus/agent-evolve-network fin-company-valuation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fin-company-valuation .cursor/skills/fin-company-valuation && 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 "fin-company-valuation" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-company-valuation into .cursor/skills/fin-company-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-company-valuation", 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/criptogus/agent-evolve-network.git --path skills/fin-company-valuation--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 criptogus/agent-evolve-network --skill fin-company-valuation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install criptogus/agent-evolve-network fin-company-valuation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fin-company-valuation .gemini/skills/fin-company-valuation && 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 "fin-company-valuation" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-company-valuation into .gemini/skills/fin-company-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-company-valuation", 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 criptogus/agent-evolve-network fin-company-valuationInstalls 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 criptogus/agent-evolve-network --skill fin-company-valuation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fin-company-valuation .github/skills/fin-company-valuation && 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 "fin-company-valuation" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-company-valuation into .github/skills/fin-company-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-company-valuation", 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 criptogus/agent-evolve-network --skill fin-company-valuation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install criptogus/agent-evolve-network fin-company-valuation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fin-company-valuation .opencode/skills/fin-company-valuation && 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 "fin-company-valuation" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-company-valuation into .opencode/skills/fin-company-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-company-valuation", 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
fin-company-valuation- GitHub stars
- 288
- Token cost
- ~1k tokens
- SKILL.md length
- 427 words
- Files
- 1
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- MIT
At a glance
Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside.
- The user asks for company valuation work
- SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
- Calls npx
- Tasks that involve Financial modeling
What it does
Fin Company Valuation is an agent skill from criptogus/agent-evolve-network. Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside. Use when the user asks for company valuation work, or mentions fin, company, valuation.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Financial modeling. The licence is MIT.
When your agent uses it
- The user asks for company valuation work
- Tasks that involve Financial modeling
Example prompts
- “/fin-company-valuation”
Requirements
- Node.js
What it can do on your machine
Read from SKILL.md and the folder at commit 3533c37. 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
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
superagentskill.com
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
Fin Company Valuation loads about 1k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 427 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from criptogus/agent-evolve-network at commit 3533c37, republished under its MIT licence (© criptogus). 427 words, ~1,040 tokens.
Download SKILL.mdSave it as
.claude/skills/fin-company-valuation/SKILL.md (or your agent's skills folder).- name
- fin-company-valuation
- description
- Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside. Use when the user asks for company valuation work, or mentions fin, company, valuation.
- version
- 0.1.0
- license
- MIT
- homepage
- https://superagentskill.com/marketplace/fin-company-valuation
- source
- Super Agent Skill (SAK)
Company Valuation
Use this skill whenever a user asks what a public company is worth: "valuation of NVDA", "fair value of TSLA", "build a DCF for MSFT", "is X overvalued/undervalued", "EV/EBITDA target", "SOTP", or any ticker in the context of computing intrinsic or relative valuation. By default it runs all three methods (DCF + relative + SOTP when 2+ segments exist) and presents a blended implied price with a WACC x terminal-growth sensitivity table and Bull/Base/Bear scenarios.
It detects the richest available data path (yfinance, Funda CLI, etc.) at runtime. Do not answer valuation questions from memory — always run the workflow. Output is research/educational, not financial advice; it is not a price target or buy/sell recommendation.
Instructions
You are a valuation analyst. Triangulate a company's intrinsic value via three methods and blend to an implied share price. Always run the workflow; never answer from memory. Step 1 - Detect data source/deps (yfinance, Funda CLI) and pick the richest available path. Step 2 - Choose methods and set defaults: DCF always; relative always; SOTP when 2+ distinct reporting segments exist. Step 3 - Pull data (financials, consensus, peers, segments). Step 4 - DCF: project 5-year FCFF (revenue growth fading from Y1 toward terminal g; margins at 3y median), discount at WACC, compute terminal value by both perpetuity-growth and exit-multiple and use the midpoint, then bridge enterprise to equity and per-share value. Step 5 - Relative: apply peer-median P/E, EV/Revenue, EV/EBITDA. Step 6 - SOTP (multi-segment only): value each segment at pure-play peer multiples. Step 7 - Triangulate: blend the implied prices, build a 5x5 WACC x terminal-growth sensitivity grid, and Bull/Base/Bear scenarios; compute upside/downside vs current market price. Step 8 - Respond with the blended implied price, sensitivity table, scenarios, key assumptions, and caveats. Disclaimer: Research/educational output. Not financial advice; not a price target or buy/sell call.
Show full SKILL.md (131 more words)Show less
Always
- Run the full workflow and fetch live data; never value from memory.
- Default to DCF + relative + SOTP (when 2+ segments) and present a blended implied price.
- Include a WACC x terminal-growth sensitivity table, scenarios, and assumptions.
- State that output is research/educational and not financial advice.
Never
- Present the implied price as a price target or buy/sell recommendation.
- Skip the sensitivity table or scenario analysis.
Examples
Intrinsic valuation
Input:
What is NVDA worth? Build a DCF.Expected output:
Pulls data, builds a 5-year FCFF DCF (WACC, midpoint terminal value), adds relative and SOTP,
and returns a blended implied price with upside/downside vs market, a WACC x g sensitivity grid,
Bull/Base/Bear scenarios, and assumptions. Disclaimer: research-only, not advice.Relative check
Input:
Is TSLA overvalued on an EV/EBITDA basis?Expected output:
Applies peer-median EV/EBITDA (plus P/E, EV/Revenue) to derive an implied price, compares with
the DCF and current price, and frames upside/downside with caveats. Not a recommendation.Trust & telemetry
This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.
- Trust Score & evidence: https://superagentskill.com/marketplace/trust/fin-company-valuation
- Skill page: https://superagentskill.com/marketplace/fin-company-valuation
- Live version (always current) via MCP: https://superagentskill.com/api/mcp
Reinstall or update with npx skills update, or pull the live graded version with
npx super-agent install fin-company-valuation.
© criptogus, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/fin-company-valuation of criptogus/agent-evolve-network.
Open the folder on GitHubat commit 3533c37
Compare with similar skills
Fin Company Valuation 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 |
|---|---|---|---|---|---|---|
| Fin Company Valuation this skillcriptogus/agent-evolve-network | 288 | — | ~1k | 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 | 194 | 11 repos | ~2.8k | Automated safety check: Pass | None | |
| Stock Value AnalyzerFunnyKun/stock-value-analyzer | 140 | — | ~3.3k | Automated safety check: Pass | None |
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Questions about Fin Company Valuation
What does Fin Company Valuation do?
Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside. Fin Company Valuation is an agent skill from criptogus/agent-evolve-network. Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside.
When should I use Fin Company Valuation?
Fin Company Valuation fits situations like: the user asks for company valuation work; tasks that involve Financial modeling.
How do I install Fin Company Valuation in Claude Code?
Run `npx skills add criptogus/agent-evolve-network --skill fin-company-valuation -a claude-code`. Or copy the skill folder (skills/fin-company-valuation in criptogus/agent-evolve-network) into .claude/skills/fin-company-valuation in your project. Claude Code loads it when a task matches its description.
How do I install Fin Company Valuation in Codex?
Run `npx skills add criptogus/agent-evolve-network --skill fin-company-valuation -a codex`. Or copy the skill folder (skills/fin-company-valuation in criptogus/agent-evolve-network) into .agents/skills/fin-company-valuation in your project. Codex loads it when a task matches its description.
Can I use Fin Company Valuation 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 criptogus/agent-evolve-network --skill fin-company-valuation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-company-valuation, .gemini/skills/fin-company-valuation, .github/skills/fin-company-valuation and .opencode/skills/fin-company-valuation in your project.
What does Fin Company Valuation need to run?
Going by SKILL.md and its folder, Fin Company Valuation needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Fin Company Valuation access the network?
SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.
Is Fin Company Valuation 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. Review the folder before installing.
What licence does Fin Company Valuation use?
Fin Company Valuation is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fin Company Valuation use?
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Fin Company Valuation?
Skills that share tags, products or a category with Fin Company Valuation: 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, 194 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fin Company Valuation?
criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 8, 2026.
Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.