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.
npx agentmods add skills/daloopa/investing/tearsheetnpx skills add daloopa/investing --skill tearsheetgit 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/tearsheet)<a href="https://agentmods.dev/skills/daloopa/investing/tearsheet"><img src="https://agentmods.dev/badge/skills/daloopa/investing/tearsheet.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00011 | $0.02358 |
| Opus 5 | $0.00005 | $0.01179 |
| Sonnet 5 | $0.00002 | $0.00472 |
| Haiku 4.5 | $0.00001 | $0.00236 |
Grade A, and why
tearsheet 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 5d 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:
- tearsheet — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate a concise company tearsheet for the company specified by the user: $ARGUMENTS
This should be a quick, one-page overview — the kind of snapshot an analyst pulls up before a meeting.
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
1b. Current Stock Price
Get the current stock price using get_stock_prices (see ../data-access.md Section 1.7). Pass company_id and dates for the 3 most recent calendar days — use the most recent returned close price. Include the price, date, and a simple context line (e.g., 52-week range or YTD change if you have enough history from a quick start_date/end_date pull of the last 12 months). Display this prominently at the top of the report next to the company name.
2. Key Financials
Calculate periods backward from latest_calendar_quarter (8 quarters total: last 4 + year-ago for each to enable YoY):
Pull:
- Revenue
- Gross Profit
- Operating Income
- EBITDA (if not reported, compute as Operating Income + D&A — label it "EBITDA (calc.)" in the report)
- Net Income
- Diluted EPS
- Operating Cash Flow
- CapEx (Purchases of property, plant and equipment)
- Free Cash Flow (compute as Operating Cash Flow - CapEx — label it "FCF (calc.)" in the report)
For any derived/computed metric, mark it with "(calc.)" so the reader knows it's not directly sourced.
3. Key Operating KPIs
This section is strictly for business-driver metrics — the operational numbers that actually move revenue and earnings. Do NOT put financial statement items (D&A, share count, buybacks, dividends) here — those belong in the financials or capital return sections.
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.
- 5d ago First seen · 181 lines · 11 tokens per session scan A e575163aa4e0
tearsheet is a skill published in the GitHub repository daloopa/investing (487 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 11 tokens to every session and 2,358 once invoked, about $0.0001 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 2026-08-30.
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