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
Valuation methods analysis, DCF inputs, comparable multiples, P/E ratio, EV/EBITDA, price to book, valuation assumptions, relative valuation, intrinsic value, fair value estimate
$ npx skills add agentii-ai/agentii-investment-intelligence --skill valuation-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence valuation-methods --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/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods .claude/skills/valuation-methods && 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 "valuation-methods" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods into .claude/skills/valuation-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-methods", 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/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methodsType 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 agentii-ai/agentii-investment-intelligence --skill valuation-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence valuation-methods --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods .agents/skills/valuation-methods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "valuation-methods" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods into .agents/skills/valuation-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-methods", 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 agentii-ai/agentii-investment-intelligence --skill valuation-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence valuation-methods --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods .cursor/skills/valuation-methods && 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 "valuation-methods" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods into .cursor/skills/valuation-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-methods", 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/agentii-ai/agentii-investment-intelligence.git --path plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods--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 agentii-ai/agentii-investment-intelligence --skill valuation-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence valuation-methods --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods .gemini/skills/valuation-methods && 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 "valuation-methods" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods into .gemini/skills/valuation-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-methods", 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 agentii-ai/agentii-investment-intelligence valuation-methodsInstalls 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 agentii-ai/agentii-investment-intelligence --skill valuation-methods -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods .github/skills/valuation-methods && 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 "valuation-methods" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods into .github/skills/valuation-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-methods", 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 agentii-ai/agentii-investment-intelligence --skill valuation-methods -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence valuation-methods --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods .opencode/skills/valuation-methods && 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 "valuation-methods" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods into .opencode/skills/valuation-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-methods", 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.
valuation-methodsValuation methods analysis, DCF inputs, comparable multiples, P/E ratio, EV/EBITDA, price to book, valuation assumptions, relative valuation, intrinsic value, fair value estimate
Valuation Methods is an agent skill from agentii-ai/agentii-investment-intelligence. Valuation methods analysis, DCF inputs, comparable multiples, P/E ratio, EV/EBITDA, price to book, valuation assumptions, relative valuation, intrinsic value, fair value estimate
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/knowledge-frameworks.md`, `references/methodology.md` and `references/modes.md`).
It sits in Business, Finance & HR, covering Financial modeling. The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
agentii.aiFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Valuation Methods loads about 1.8k tokens when it runs, and up to ~7.9k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 739 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.
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.
The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 739 words, ~1,844 tokens.
.claude/skills/valuation-methods/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.<!-- analog: initiating-coverage -->
Run canonical pre-flight per contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).
| Parameter | Default | Notes |
|---|---|---|
| lookback_quarters | 4 | Historical data window — matches temporal_scope.default_quarters |
| include_peers | false | Whether to surface a peer comparison block |
This skill performs unstructured document search at scale (10-K, 10-Q, 8-K filings and earnings call transcripts spanning multiple fiscal periods). The three-layer agent-use-ready retrieval protocol (Document Discovery → Page Map → Deep Read) applies to all unstructured document search at scale.
See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.
Read before you quote. A page's description is platform-generated — it is never the issuer's
words and must never be quoted as the filing's. When a description identifies a relevant page,
read_source_pages that page and quote its page_content. The description is a pointer, not a
source: a citation written from one is the fabricated quote this skill's output standard exists to
prevent (contracts/retrieval.md § Three-Layer Document Protocol).
Default: 4 fiscal quarters (max 8). Valuation methods: trailing 4 quarters for current multiples and DCF inputs
See frontmatter allowed_tools.
Step-by-step execution detail is in references/methodology.md.
TIER SHARE Workflow: For structured valuation method selection and equity research workflow, apply the institutional consensus framework in references/tier-methodology.md. SHARE (Select→Historical→Adjust→Range→Evaluate) provides the method-selection logic matching business model to valuation approach. TIER (Target→Identify→Ensure→Review) is the standard equity research workflow, now CFA Institute Level II curriculum (2024).
This skill exposes addressable analysis modes (--mode=<slug> / --modes=<s1>,<s2> / --mode=all; see Mode syntax). The full mode definitions and their output templates live in references/modes.md. The default invocation runs the essentials subset.
Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.
Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_valuation-methods_valuation-comparison.md .
The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:
[FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md./v/ citations are the citation surface (immediately after each fact). A bottom roll-up index is optional, and where kept it must not repeat a link the prose already carries.contracts/output-frontmatter-schema.md.Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; citations belong inline, a bottom roll-up index is optional and never a repeat of a link already given; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.
contracts/memory-load.md.key_metrics, conclusions, facts_count, deducted_count, views_count, citation_count) per contracts/output-frontmatter-schema.md.[FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.End the closing chat reply with the summary shape in contracts/citation-and-memory.md — Citation Placement Policy item 3: title · key conclusions · key metrics · Executive Summary · Key Citations (the headline 5–10 facts, each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link), so the user can cmd+click straight to the exact SEC page without opening the file.
| Failure Mode | Detection | Action | User-Facing Message |
|---|---|---|---|
| Missing data | Data API returns empty result set | Widen date range and retry once | "No data available for {ticker} in requested window." |
| Partial data | Data API returns <80% expected records | Proceed with coverage gaps section | "Analysis based on partial data; see Coverage Gaps section." |
| Sector mismatch | Peer sector != target sector | Filter out mismatched peers | "Removed {n} peer(s) due to sector mismatch." |
| Insufficient history | Ticker <3 years on public markets | Downgrade to limited-history profile | "Limited historical data; analysis adjusted accordingly." |
| MCP unreachable | Preflight probe fails | Halt with actionable error | "agentii data plane unreachable; check connection." |
© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (references) in plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods of agentii-ai/agentii-investment-intelligence.
Open the folder on GitHubat commit 86980e1
Valuation Methods 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 |
|---|---|---|---|---|---|---|
| Valuation Methods this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Equity Researcherlzwme/finance-quant-skills | 435 | 1 repos | ~4.9k | Automated safety check: Pass | None | |
| Equity ResearchrollingSirius/equity-research-skill | 452 | — | ~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 | 192 | 12 repos | ~2.8k | Automated safety check: Pass | None |
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lzwme/finance-quant-skills
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rongxinzy/RongxinAI
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nicepkg/auto-company
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agentii-ai/agentii-investment-intelligence
The research-domain clarification skill — find underspecified items in a thesis spec.md (prose wrongif, universe rows without rationale, missing budget/expiry/pins, ambiguous pillars), ask the human…
agentii-ai/agentii-investment-intelligence
Scaffold and amend the L1 Investment Constitution — [ALLCAPS] placeholder bootstrap, SemVer bump rules, Sync Impact Report, MINOR/MAJOR re-examination dispatch after the gate-5 budget confirm.
agentii-ai/agentii-investment-intelligence
Execute research tasks — checklist soft gate, phase dispatch with explicit thesisdir, budget enforcement (halt + approval card on overrun), skillpin recording (versionhash content-hashed per skill…
agentii-ai/agentii-investment-intelligence
Decompose the plan into research tasks — one task per ticker × skill × mode, grouped by pillar, [P]-marked by the different-files-and-no-incomplete-deps rule, with source-refs.
agentii-ai/agentii-investment-intelligence
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agentii-ai/agentii-investment-intelligence
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Categories
Valuation methods analysis, DCF inputs, comparable multiples, P/E ratio, EV/EBITDA, price to book, valuation assumptions, relative valuation, intrinsic value, fair value estimate. Valuation Methods is an agent skill from agentii-ai/agentii-investment-intelligence.
Valuation Methods fits situations like: tasks that involve Financial modeling.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill valuation-methods -a claude-code`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods in agentii-ai/agentii-investment-intelligence) into .claude/skills/valuation-methods in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill valuation-methods -a codex`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/valuation-methods in agentii-ai/agentii-investment-intelligence) into .agents/skills/valuation-methods in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill valuation-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/valuation-methods, .gemini/skills/valuation-methods, .github/skills/valuation-methods and .opencode/skills/valuation-methods in your project.
SKILL.md names no scripts, command-line tools or credentials: Valuation Methods is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: agentii.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Valuation Methods is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.4k 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 6.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Valuation Methods: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Equity Researcher (lzwme/finance-quant-skills, 435 stars), Equity Research (rollingSirius/equity-research-skill, 452 stars) and SaaS Metrics Coach (rongxinzy/RongxinAI, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.
Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.