Borrowing it
Nothing to install: this file belongs to daloopa/investing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/daloopa/investing/main/.claude/skills/capital-allocation/SKILL.mdgit clone --depth 1 https://github.com/daloopa/investingWrote 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.
[](https://agentmods.dev/skills/daloopa/investing/capital-allocation)<a href="https://agentmods.dev/skills/daloopa/investing/capital-allocation"><img src="https://agentmods.dev/badge/skills/daloopa/investing/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.
<a href="https://agentmods.dev/skills/daloopa/investing/capital-allocation"><img src="https://agentmods.dev/badge/skills/daloopa/investing/capital-allocation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.5 | $0.00007 | $0.00922 |
| Sonnet 5.5 | $0.00004 | $0.00461 |
| Haiku 4.5 | $0.00002 | $0.00231 |
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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- capital-allocation — 100% identical, 0 lines differ
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_idlatest_calendar_quarter— anchor for all period calculations below (see../data-access.mdSection 1.5)latest_fiscal_quarter- Firm name for report attribution (default: "Daloopa") — see
../data-access.mdSection 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)
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.
- 2mo ago First seen · 213 lines · 18 tokens per session scan A 050c6bccfa57
capital-allocation is a skill published in the GitHub repository daloopa/investing (488 stars, last pushed 8d ago), licensed Apache-2.0. It adds 18 tokens to every session and 2,306 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
capital-allocation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| capital-allocationdaloopa/investing | Skill | 488 | 8d ago | Apache-2.0 | A | 18 | Claude Code |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 39 | Claude Code, Codex |
| twitter-readerhimself65/finance-skills | Skill | 3.5k | 2d ago | MIT | A | 110 | Claude Code |
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| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 2d ago | GPL-2.0 | A | 292 | Codex |