tear-sheet

tear-sheet is a skill for Claude Code, Codex from leecyno1/boutique-skills. It costs 143 tokens per session (7,108 once invoked), scanned A, a copy of tear-sheet, MIT.

A company one-page profile built from S&P Capital IQ data and formatted as a Word document. It can be tailored for different audiences.

In plain words
What is it for?
Use it to create company tear sheets, one-pagers, fact sheets, snapshots, and overview documents.
Why use it?
It removes the manual work of collecting company facts and arranging them into a consistent professional summary.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to create company tear sheets, one-pagers, fact sheets, snapshots, and overview documents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leecyno1/boutique-skills/anthropic-fs-spglobal-tear-sheet
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 leecyno1/boutique-skills --skill anthropic-fs-spglobal-tear-sheet
Clone the repo
git clone --depth 1 https://github.com/leecyno1/boutique-skills

Made for: Claude Code, Codex.

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 tear-sheet

README.md
[![agentmods](https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-spglobal-tear-sheet/github.svg)](https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-spglobal-tear-sheet)
Your own site
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-spglobal-tear-sheet"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-spglobal-tear-sheet/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 tear-sheet

Your own site · 80×15
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-spglobal-tear-sheet"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-spglobal-tear-sheet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,108 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.07108
Opus 5 $0.00072 $0.03554
Sonnet 5 $0.00029 $0.01422
Haiku 4.5 $0.00014 $0.00711

Measured 9d ago against content hash e7401e14f0c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tear-sheet 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 tear-sheet — 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/default/anthropic-fs-spglobal-tear-sheet/SKILL.md · 522 lines

How it starts

The opening of the file, as written. The whole thing — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Financial Tear Sheet Generator

Generate audience-specific company tear sheets by pulling live data from S&P Capital IQ via the S&P Global MCP tools and formatting the result as a professional Word document.

Style Configuration

These are sensible defaults. To customize for your firm's brand, modify this section — common changes include swapping the color palette, changing the font (Calibri is standard at many banks), and updating the disclaimer text.

Colors:

  • Primary (header banner background, section header text): #1F3864
  • Accent (signature section highlights): #2E75B6
  • Table header row fill: #D6E4F0
  • Table alternating row fill: #F2F2F2
  • Table borders: #CCCCCC
  • Header banner text: #FFFFFF

Typography (sizes in half-points for docx-js):

  • Font family: Arial
  • Company name: 18pt bold (size: 36)
  • Section headers: 11pt bold (size: 22), Primary color
  • Body text: 9pt (size: 18)
  • Table text: 8.5pt (size: 17)
  • Footer/disclaimer: 7pt italic (size: 14)
  • Per-template overrides are specified in each reference file's Formatting Notes.

Company Header Banner:

  • The header is a navy (#1F3864) banner spanning the full page width with company name in white.
  • Below the banner, key-value pairs MUST be rendered in a two-column borderless table spanning the full page width. Left column: company identifiers (ticker, HQ, founded, employees, sector). Right column: financial identifiers (market cap, EV, stock price, shares outstanding). Each cell contains a bold label and regular-weight value on the same line (e.g., "Market Cap $124.7B"). Do not left-justify all fields in a single column — this wastes horizontal space and looks unprofessional. The two-column spread is the single most important visual signal that distinguishes a professional tear sheet from a default document.
    • Implementation: Create a 2-column table with borders: none and shading: none on all cells. Set column widths to 50% each. Place left-column fields (ticker, HQ, founded, employees) as separate paragraphs in the left cell. Place right-column fields (market cap, EV, stock price, shares outstanding) in the right cell. Each field is a single paragraph: bold run for the label, regular run for the value.
    • The specific fields in each column vary by audience — see the reference file's header spec. The principle is always: spread across the page, not clumped left.
  • Do not use a bordered table for the header key-value block. Bordered tables are reserved for financial data only.
  • Key metrics in the header (market cap, EV, stock price) should be displayed as inline key-value pairs, not in a separate bordered table.

Read the full file on GitHub · 522 lines

Files

What ships with it

5 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. 9d ago First seen · 522 lines · 143 tokens per session scan A e7401e14f0c4

Subscribe to this mod's changes

tear-sheet is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 143 tokens to every session and 7,108 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to tear-sheet, differing in 0 lines, and is treated as a copy.

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