A concise one-page company overview for a specified company or stock ticker. A tearsheet is a quick reference document used to prepare for an analysis or meeting.

Use it to review a company, its latest reporting period, recent stock price, and selected performance context.

It gathers key company and market information into a single short snapshot instead of requiring several separate lookups.

How daloopa/investing configures Claude Code

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/daloopa/investing/main/.claude/skills/tearsheet/SKILL.md

Clone the repo

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

Made for: Claude Code.

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/investing/tearsheet/github.svg)](https://agentmods.dev/skills/daloopa/investing/tearsheet)

Your own site

<a href="https://agentmods.dev/skills/daloopa/investing/tearsheet"><img src="https://agentmods.dev/badge/skills/daloopa/investing/tearsheet/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/investing/tearsheet"><img src="https://agentmods.dev/badge/skills/daloopa/investing/tearsheet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,462 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.

Model	Per session	Once invoked
Fable 5.1	$0.00011	$0.02462
Opus 5.5	$0.00004	$0.00985
Sonnet 5.5	$0.00002	$0.00492
Haiku 4.5	$0.00001	$0.00246

Measured 7d ago against content hash dba54fc1f2ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

tearsheet — 100% identical, 2 lines differ

.claude/skills/tearsheet/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 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_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

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.

Read the full file on GitHub · 183 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.

7d ago Changed · +2 lines dba54fc1f2ac
2mo ago First seen · 181 lines · 11 tokens per session scan A e575163aa4e0

Subscribe to this mod's changes

tearsheet is a skill published in the GitHub repository daloopa/investing (488 stars, last pushed 8d ago), licensed Apache-2.0. It adds 11 tokens to every session and 2,462 once invoked, about $0.0000 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.

Finance and fintech

tearsheet next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
tearsheetdaloopa/investing	Skill	488	8d ago	Apache-2.0	A	11	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
strategy-pivot-designertradermonty/claude-trading-skills	Skill	3.7k	2d ago	MIT	A	28	Claude Code, Codex
energy-procurementhashgraph-online/awesome-codex-plugins	Skill	1.5k	yesterday	Apache-2.0	A	93	Claude Code, Codex
airdrop-hunting-guidenirholas/three.ws	Skill	269	yesterday	Apache-2.0	A	54	Claude Code, Codex
multi-expert-analyzerdigoal/blog	Skill	8.6k	2d ago	GPL-2.0	A	292	Codex

investing: Skill for Claude Code