residual-income

residual-income is a skill for Claude Code from agentii-ai/agentii-investment-intelligence. It costs 33 tokens per session (1,525 once invoked), scanned A, original, Apache-2.0.

A company valuation method that adds the present value of future economic profit to current book value. Economic profit is earnings above the return investors require, and the method is also called residual income or EVA valuation.

In plain words
What is it for?
Use it to value public companies, banks, insurers, financial institutions, and capital-intensive businesses from forecasts, book value, and required returns.
Why use it?
It provides an alternative to cash-flow valuation when debt and operating cash flows are difficult to interpret, especially for banks and insurers. It focuses on whether a company earns more than its required return.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the quantitative-analysis plugin — 5 skills, 5 commands shipped together

Good fit Use it to value public companies, banks, insurers, financial institutions, and capital-intensive businesses from forecasts, book value, and required returns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentii-ai/agentii-investment-intelligence/residual-income
Install

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.

Any agent
npx skills add agentii-ai/agentii-investment-intelligence --skill residual-income
Clone the repo
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence

Made for: Claude Code.

Or install quantitative-analysis, the plugin that ships this one along with the rest of its 5 skills, 5 commands.

Wrote 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.

agentmods badge for residual-income

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/residual-income/github.svg)](https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/residual-income)
Your own site
<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/residual-income"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/residual-income/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.

agentmods 80×15 button for residual-income

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/residual-income"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/residual-income.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,525 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01525
Opus 5 $0.00016 $0.00763
Sonnet 5 $0.00007 $0.00305
Haiku 4.5 $0.00003 $0.00153

Measured 7d ago against content hash d9e9559d4c91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

residual-income 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 7d 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.

plugins/vertical-plugins/quantitative-analysis/skills/agentii/residual-income/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Residual Income / Economic Value Added (EVA) Valuation

Values a company as: Book Value + Present Value of Future Economic Profit. Economic profit = earnings ABOVE the required return on equity. Especially valuable for financial institutions (banks, insurers) where DCF is problematic due to the nature of debt (it's inventory, not capital) and for capital-intensive firms. Also known as the Edwards-Bell-Ohlson (EBO) model in academic literature.

Preflight

Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.

Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.

Triggers

  • residual income valuation {ticker}
  • EVA valuation {ticker}
  • economic value added {ticker}
  • excess return model {ticker}
  • book value plus economic profit {ticker}
  • EBO model {ticker}
  • bank valuation model {ticker}
  • financial institution valuation {ticker}
  • value {ticker} residual income
  • RI valuation {ticker}

Defaults

Parameter Default Notes
projection_years 5 Years of explicit residual income forecast
terminal_growth 2.5% Perpetual RI growth (should be conservative)
cost_of_equity CAPM Ke = Rf + β × ERP, or manual input

Methodology

Retrieval Scope

structured_only — Residual Income uses book value from XBRL + earnings estimates + current price.

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: 20. 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)
  • get_realtime_quote — latest market price for valuation cross-checks
  • search_earnings_calendar — EPS actual/estimate/surprise + report dates

Read the full file on GitHub · 127 lines

Files

What ships with it

4 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.

Changes

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.

  1. 7d ago First seen · 127 lines · 33 tokens per session scan A d9e9559d4c91

Subscribe to this mod's changes

residual-income is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 33 tokens to every session and 1,525 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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