Sum of the Parts valuation, segment-based valuation, conglomerate valuation, business segment analysis, breakup value, segment sum valuation, parts worth more than whole, hidden asset value

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Sotp Valuation

skills CLI
$ npx skills add agentii-ai/agentii-investment-intelligence --skill sotp-valuation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentii-ai/agentii-investment-intelligence sotp-valuation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/models-and-pitches/skills/agentii/sotp-valuation .claude/skills/sotp-valuation && rm -rf skills-src

Use ~/.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/

Facts

Skill name
sotp-valuation
GitHub stars
207
Token cost
~1.8k tokens
SKILL.md length
725 words
Files
8 (incl. references)
Skills in repo
79
Repo updated
First seen
Licence
Apache-2.0

At a glance

Sum of the Parts valuation, segment-based valuation, conglomerate valuation, business segment analysis, breakup value, segment sum valuation, parts worth more than whole, hidden asset value

  • Works in 5 steps: Inputs: resolved ticker + structured… → Build: write the .md sum-of-the-parts… → Validate: run the ## Validation Gates… → …
  • Tasks that involve Financial modeling
  • SKILL.md covers Preflight, Triggers, Defaults and Methodology, plus 8 more sections
  • Reaches agentii.ai

What it does

Sotp Valuation is an agent skill from agentii-ai/agentii-investment-intelligence. Sum of the Parts valuation, segment-based valuation, conglomerate valuation, business segment analysis, breakup value, segment sum valuation, parts worth more than whole, hidden asset value

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/formula-sheet.md`, `references/institutional-defaults.md` and `references/methodology.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.

When your agent uses it

  • Tasks that involve Financial modeling

Example prompts

  • “/sotp-valuation”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Inputs: resolved ticker + structured facts (search_xbrl_facts, get_company_financials) and any filing pages from the three-layer protocol.
  2. Build: write the .md sum-of-the-parts valuation (segment multiples, conglomerate-discount analysis) per ## Output Structure.
  3. Validate: run the ## Validation Gates below.
  4. Output: write the artifact path per ## Output File.
  5. Next: append to agentii.md; hand off to a downstream pitch/review skill if requested.

What it can do on your machine

Read from SKILL.md and the folder at commit 86980e1. 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

    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.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • agentii.ai

    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

Sotp Valuation loads about 1.8k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 725 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

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 agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 725 words, ~1,818 tokens.

Download SKILL.mdSave it as .claude/skills/sotp-valuation/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
sotp-valuation
description
Sum of the Parts valuation, segment-based valuation, conglomerate valuation, business segment analysis, breakup value, segment sum valuation, parts worth more than whole, hidden asset value
multi_ticker_semantics
target_with_optional_peers
temporal_scope.default_quarters
4
temporal_scope.max_quarters
12
temporal_scope.description
Latest segment data with up to 12 quarters for segment trend
retrieval_scope
unstructured_document_search
min_tool_diversity
7

Sum of the Parts (SOTP) Valuation

Values each business segment independently and sums for total enterprise value. Essential for conglomerates (GE, MMM, HON), multi-segment tech (AMZN: AWS + Retail + Ads, GOOG: Search + Cloud + YouTube), and holding companies. SOTP often reveals "hidden value" when the market undervalues individual segments.

Preflight

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).

Triggers

  • sum of the parts valuation {ticker}
  • SOTP analysis {ticker}
  • segment-based valuation {ticker}
  • breakup value {ticker}
  • conglomerate valuation {ticker}
  • parts worth more than whole {ticker}
  • segment sum of parts {ticker}
  • business segment valuation {ticker}
  • hidden asset value {ticker}
  • SOTP {ticker}

Defaults

ParameterDefaultNotes
segment_discoverystatement_treeUse get_statement_structure for segment identification
peer_multiplessectorApply sector-appropriate multiples per segment
include_corporatetrueSubtract corporate overhead, net debt

Methodology

Retrieval Scope

unstructured_document_search — SOTP requires segment financials from XBRL (structured) AND segment narrative/business description from MD&A (unstructured) for appropriate multiple selection.

Retrieval Strategy

See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.

Temporal Scope

Default lookback: 4 fiscal quarter(s); maximum: 12. The default balances recency against the trend window this analysis requires.

Tool Allowlist

Per frontmatter allowed_tools:

  • search_xbrl_facts — primary structured financial facts (is_primary default)
  • search_companies — ticker resolution + company context (entity-alias fuzzy match)
  • get_realtime_quote — latest market price for valuation cross-checks
  • search_documents — Layer 1 document discovery (page-level silver records)
  • read_source_outline — Layer 2 lightweight page map (description + keywords)
  • read_source_deep_outline — Layer 2.5a deep page map (table_titles/drivers/metrics)
  • read_source_pages — Layer 3 deep read of selected pages with table markers
  • get_statement_structure — XBRL presentation tree (concept hierarchy)
Protocol

Step-by-step execution detail is in references/methodology.md.

Deliverable Chain

Inputs → Build → Validate → Output → Next

  1. Inputs: resolved ticker + structured facts (search_xbrl_facts, get_company_financials) and any filing pages from the three-layer protocol.
  2. Build: write the .md sum-of-the-parts valuation (segment multiples, conglomerate-discount analysis) per ## Output Structure.
  3. Validate: run the ## Validation Gates below.
  4. Output: write the artifact path per ## Output File.
  5. Next: append to agentii.md; hand off to a downstream pitch/review skill if requested.

Output File

Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_sotp-valuation_{affix}.md.

Output Structure

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:

  1. Executive Summary — headline conclusions (≤200 words).
  2. Core analysis sections — per this skill's methodology and analyst modes.
  3. Data classification — tag findings [FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md.
  4. Coverage Gaps & Citations — inline /v/ citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index.
  5. Output frontmatter — emit the FR-090 structured block per 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; a bottom Citations section provides a non-duplicative roll-up index; 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.

Show full SKILL.md (225 more words)Show less

Validation Gates

  1. Segment coverage: segment revenues must sum to ≥80% of total reported revenue. If failed: flag segments representing <80% of revenue; note "significant unallocated revenue."
  2. Valuation consistency: segment multiples justified by at least one comparable company or sector norm per segment. If failed: flag segments with unsubstantiated multiples.
  3. SOTP bridge integrity: Segment Sum - Corporate + Adjustments = Total Equity within 1%. If failed: refuse delivery; check bridge arithmetic.

Tool Fallbacks

Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.

Memory & Snapshot

  • Memory load (pre-flight): load prior workspace context for the ticker before retrieval — see contracts/memory-load.md.
  • Structured output frontmatter: emit the FR-090 block (key_metrics, conclusions, facts_count, deducted_count, views_count, citation_count) per contracts/output-frontmatter-schema.md.
  • Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as [FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.
  • Session archival: record the run under sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.

Final Summary (TUI)

End the closing chat reply with a compact Key Citations list (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. See contracts/citation-and-memory.md.

Error Handling

Failure ModeActionUser-Facing Message
No segment dataCompany reports as single segment"{ticker} reports as a single operating segment — SOTP not applicable. Use DCF or comps."
Missing segment financialsProceed with available data; flag gaps"Segment financials incomplete for {segment_names}; SOTP based on partial data."

© 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

Files

SKILL.md and 7 other files (references) in plugins/vertical-plugins/models-and-pitches/skills/agentii/sotp-valuation of agentii-ai/agentii-investment-intelligence.

  • SKILL.md
  • references/formula-sheet.md
  • references/institutional-defaults.md
  • references/methodology.md
  • references/modes.md
  • references/output-structure.md
  • references/tool-fallbacks.md
  • references/validation-checklist.md

Open the folder on GitHubat commit 86980e1

Compare with similar skills

Sotp 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.

Sotp Valuation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sotp Valuation this skillagentii-ai/agentii-investment-intelligence207—~1.8kAutomated safety check: PassApache-2.0
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Equity ResearchrollingSirius/equity-research-skill453—~1.5kAutomated safety check: PassMIT
SaaS Metrics Coachrongxinzy/RongxinAI1542 repos~1.3kAutomated safety check: PassMIT
Startup Financial Modelingnicepkg/auto-company19511 repos~2.8kAutomated safety check: PassNone
Stock Value AnalyzerFunnyKun/stock-value-analyzer141—~3.3kAutomated safety check: PassNone

Similar skills

  • 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

    729 GitHub starsUsed in 3 repos~1.3k tokens
    Business, Finance & HRAuto-check passed
  • Equity Research

    rollingSirius/equity-research-skill

    撰写机构级个股投资研究报告(二级市场深度研究)。Use whenever the user wants to research, analyze, or value a specific publicly-traded stock — e.g.

    453 GitHub stars~1.5k tokensUpdated 1 mo ago
    Business, Finance & HRAuto-check passed
  • SaaS Metrics Coach

    rongxinzy/RongxinAI

    SaaS financial health advisor. An agent skill from rongxinzy/RongxinAI.

    154 GitHub starsUsed in 2 repos~1.3k tokens
    Business, Finance & HRAuto-check passed
  • Startup Financial Modeling

    nicepkg/auto-company

    This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or…

    195 GitHub starsUsed in 11 repos~2.8k tokens
    Business, Finance & HRAuto-check passed
  • Stock Value Analyzer

    FunnyKun/stock-value-analyzer

    基于邱国鹭《投资中最简单的事》方法论的股票价值分析器(v2.0 双层架构)。通过"三好原则"(好行业、好公司、好价格)系统评估一只股票是否值得投资。v2.0 在原定性框架之上注入一套可量化、可复现的硬模型层——反向 DCF 反解市场隐含增速、情景概率加权估值、EPV 盈利能力价值、分行业估值路由、杜邦三/五因子分解、ROIC vs WACC、Piotroski F-Score、Beneish…

    141 GitHub stars~3.3k tokensUpdated 3 mo ago
    Business, Finance & HRAuto-check passed
  • Dcf Valuation

    edinetdb/dexter-jp

    Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies.

    312 GitHub stars~1.1k tokensUpdated 2 days ago
    Business, Finance & HRAuto-check passed

More from agentii-ai/agentii-investment-intelligence

All 79 skills in this repo
  • Challenge

    agentii-ai/agentii-investment-intelligence

    Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion…

    207 GitHub stars~735 tokensUpdated 12 days ago
    Auto-check passed
  • Chart Patterns

    agentii-ai/agentii-investment-intelligence

    Chart pattern recognition, price action patterns, candlestick signal bars, pullback bar counting H1/H2/H3/H4, trend channels, micro channels, trading ranges, breakouts, major trend reversals 5-step…

    207 GitHub stars~2k tokensUpdated 12 days ago
    Auto-check passed
  • Clarify

    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…

    207 GitHub stars~839 tokensUpdated 12 days ago
    Auto-check passed
  • Constitution

    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.

    207 GitHub stars~596 tokensUpdated 12 days ago
    Auto-check passed
  • Converge

    agentii-ai/agentii-investment-intelligence

    Append-only gap closure and the cadence engine for research theses.

    207 GitHub stars~789 tokensUpdated 12 days ago
    Auto-check passed
  • Implement

    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…

    207 GitHub stars~583 tokensUpdated 12 days ago
    Auto-check passed

Questions about Sotp Valuation

What does Sotp Valuation do?

Sum of the Parts valuation, segment-based valuation, conglomerate valuation, business segment analysis, breakup value, segment sum valuation, parts worth more than whole, hidden asset value. Sotp Valuation is an agent skill from agentii-ai/agentii-investment-intelligence.

When should I use Sotp Valuation?

Sotp Valuation fits situations like: tasks that involve Financial modeling.

How do I install Sotp Valuation in Claude Code?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill sotp-valuation -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/models-and-pitches/skills/agentii/sotp-valuation in agentii-ai/agentii-investment-intelligence) into .claude/skills/sotp-valuation in your project. Claude Code loads it when a task matches its description.

How do I install Sotp Valuation in Codex?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill sotp-valuation -a codex`. Or copy the skill folder (plugins/vertical-plugins/models-and-pitches/skills/agentii/sotp-valuation in agentii-ai/agentii-investment-intelligence) into .agents/skills/sotp-valuation in your project. Codex loads it when a task matches its description.

Can I use Sotp 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 agentii-ai/agentii-investment-intelligence --skill sotp-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/sotp-valuation, .gemini/skills/sotp-valuation, .github/skills/sotp-valuation and .opencode/skills/sotp-valuation in your project.

What does Sotp Valuation need to run?

SKILL.md names no scripts, command-line tools or credentials: Sotp Valuation is instructions for the agent only.

Does Sotp Valuation access the network?

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.

Is Sotp 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 Sotp Valuation use?

Sotp Valuation 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.

How many tokens does Sotp Valuation use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Sotp Valuation?

Skills that share tags, products or a category with Sotp 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, 195 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sotp Valuation?

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.