What is capital-allocation?

A company research workflow focused on how a business uses its money, including spending on growth, share buybacks, dividends, and shareholder returns.

Use it to investigate a company’s buybacks, dividends, share count, capital deployment, and shareholder yield across several quarters.

It brings the data needed to examine capital decisions and calculate related yields and per-share measures into one analysis.

capital-allocation — Skill for Claude Code by daloopa

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 daloopa/daloopa-plugin-claude --skill capital-allocation

Clone the repo

git clone --depth 1 https://github.com/daloopa/daloopa-plugin-claude

Made for: Claude Code.

Or install daloopa, the plugin that ships this one along with the rest of its 21 skills, 2 MCP servers.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/capital-allocation/github.svg)](https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/capital-allocation)

Your own site

<a href="https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/capital-allocation"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/capital-allocation/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/capital-allocation"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/capital-allocation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,306 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.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00018	$0.02306
Opus 5	$0.00009	$0.01153
Sonnet 5	$0.00004	$0.00461
Haiku 4.5	$0.00002	$0.00231

Measured 9d ago against content hash 050c6bccfa57, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

capital-allocation 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 9d 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.

Origin

This is a copy

100% identical to capital-allocation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/capital-allocation/SKILL.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Perform a deep dive into capital allocation for the company specified by the user: $ARGUMENTS

Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill.

Follow these steps:

1. Company Lookup

Look up the company by ticker using discover_companies. Capture:

company_id
latest_calendar_quarter — anchor for all period calculations below (see ../data-access.md Section 1.5)
latest_fiscal_quarter
Firm name for report attribution (default: "Daloopa") — see ../data-access.md Section 4.5

2. Market Data

Get the current stock price, market cap, and shares outstanding for {TICKER} (see ../data-access.md Section 2 for how to source market data in your environment).

This is needed to compute yields and per-share metrics

If market data is unavailable, note that market-derived metrics (yields, etc.) cannot be computed and proceed with Daloopa data only.

3. Capital Allocation Data

Calculate 8 quarters backward from latest_calendar_quarter. Pull:

Share Count & Buybacks:

Diluted shares outstanding
Share repurchase amounts (dollars)
Shares retired/repurchased (units, if available)

Dividends:

Dividends per share
Total dividend payments
Special dividends (if any)

Cash Flow:

Operating Cash Flow
Capital Expenditures
Free Cash Flow (compute as OCF - CapEx, label "(calc.)")
D&A (for reference)

Balance Sheet:

Cash and equivalents
Short-term investments / marketable securities
Total debt (short + long term)
Net debt (compute as Total Debt - Cash - Investments, label "(calc.)")

M&A / Investments:

Search for "acquisition", "purchase of business", "investment" in series
Pull any available M&A-related series

4. Compute Capital Allocation Metrics

Calculate for each quarter where data is available:

Shareholder Returns:

Total Buyback Amount
Total Dividend Amount
Total Shareholder Return = Buybacks + Dividends
Shareholder Yield = (Buybacks + Dividends) / Market Cap (annualized)
Buyback Yield = Buybacks / Market Cap (annualized)
Dividend Yield = Dividends / Market Cap (annualized)

Read the full file on GitHub · 213 lines

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.

9d ago First seen · 213 lines · 18 tokens per session scan A 050c6bccfa57

Subscribe to this mod's changes

capital-allocation is a skill published in the GitHub repository daloopa/daloopa-plugin-claude (8 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 2,306 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to capital-allocation, differing in 0 lines, and is treated as a copy.

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