earnings-preview-single

earnings-preview-single is a skill for Claude Code from anthropics/financial-services. It costs 46 tokens per session (9,683 once invoked), scanned A, original, Apache-2.0.

A single-company earnings-preview generator produces a four-to-five-page HTML research report. It reviews the latest earnings transcript, competitors, valuation, and recent news for one company.

In plain words
What is it for?
It helps prepare a detailed earnings preview with company analysis, competitor context, valuation, and news-based discussion.
Why use it?
It brings several parts of pre-earnings research into one report and restricts the report to specified financial data sources.

Skill for Claude Code ✓ vendor

Written for Claude Code: $ARGUMENTS substitution. Also seen: positional $N argument.

Part of the sp-global plugin — 3 skills shipped together

Good fit It helps prepare a detailed earnings preview with company analysis, competitor context, valuation, and news-based discussion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anthropics/financial-services/earnings-preview-beta
About the project

Claude for Financial Services is a collection of agents, skills, commands, plugins, and data connectors for investment banking, equity research, private equity, and wealth-management workflows. Financial professionals use it to draft models, memos, research notes, and reconciliations for review by qualified people. The catalogue contains components from these workflows, including agents, skills, plugins, commands, and instructions.

anthropics/financial-services · 34,793 stars · on GitHub

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 anthropics/financial-services --skill earnings-preview-beta
Clone the repo
git clone --depth 1 https://github.com/anthropics/financial-services

Made for: Claude Code.

Or install sp-global, the plugin that ships this one along with the rest of its 3 skills.

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 earnings-preview-single

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthropics/financial-services/earnings-preview-beta/github.svg)](https://agentmods.dev/skills/anthropics/financial-services/earnings-preview-beta)
Your own site
<a href="https://agentmods.dev/skills/anthropics/financial-services/earnings-preview-beta"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/earnings-preview-beta/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 earnings-preview-single

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthropics/financial-services/earnings-preview-beta"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/earnings-preview-beta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,683 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 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.09683
Opus 5 $0.00023 $0.04841
Sonnet 5 $0.00009 $0.01937
Haiku 4.5 $0.00005 $0.00968

Measured today against content hash 7580388cc443, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

earnings-preview-single 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 today.

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

4 near-identical copies found in the catalogue:

plugins/partner-built/spglobal/skills/earnings-preview-beta/SKILL.md · 525 lines

How it starts

The opening of the file, as written. The whole thing — 525 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Single-Company Earnings Preview

Generate a concise, professional equity research earnings preview for a single company. The output is a self-contained HTML file targeting 4-5 printed pages. The report is dense with figures and data, with tight narrative that gets straight to the point.

Data Sources (ZERO EXCEPTIONS): The ONLY permitted data sources are Kensho Grounding MCP (search) and S&P Global MCP (kfinance). Absolutely NO other tools, data sources, or web access of any kind. Specifically:

  • Do NOT use WebSearch, WebFetch, web_search, brave_search, google_search, or ANY generic web/internet search tool — even if Kensho is slow, returns no results, or is temporarily unavailable.
  • Do NOT use any browser, URL fetch, or web scraping tool.
  • If Kensho Grounding returns no results for a query, try rephrasing the query or note "data not available" in the report. NEVER fall back to web search as an alternative.
  • Every piece of information in the report must be traceable to either a kfinance MCP function call or a Kensho search call. If it cannot be sourced to one of these two, it must not appear in the report.

Critical Rule: You MUST complete ALL research and data collection (Phases 1-5) BEFORE writing any part of the report.

Intermediate File Rule: All raw data from MCP tool calls MUST be written to files in /tmp/earnings-preview/ immediately after each tool call returns — before moving to the next call. This protects data from context window compression. Do NOT hold data only in memory. At the start of Phase 1, run mkdir -p /tmp/earnings-preview to create the directory. Before generating the HTML report (Phase 7), you MUST read ALL intermediate files back into context using cat commands. The files — not your memory of earlier conversation — are the single source of truth for every number, quote, and source URL in the report. If you skip reading the files, the report WILL contain errors.

Fiscal Quarter Rule: NEVER infer the fiscal quarter from the calendar report date. Many companies have non-standard fiscal years (e.g., Walmart's FY ends Jan 31, so a Feb 2026 report covers Q4 FY2026, not Q4 2025 or Q1 2026). Always use the fiscal quarter and fiscal year exactly as stated in the earnings call name returned by get_next_earnings_from_identifiers or get_earnings_from_identifiers (e.g., "Walmart Q4 FY2026 Earnings Call" means the quarter is Q4 FY2026). Use that verbatim in the report title, headers, tables, and all references. If the call name is ambiguous, cross-reference with get_financial_line_item_from_identifiers period labels.

Length Rule: The report must be concise. Target 4-5 pages when printed. Do NOT write long multi-paragraph narratives. Use tight, punchy bullet points. Every sentence must earn its place. If you can say it in fewer words, do so.

Verbatim Quote Rule: When quoting management in <blockquote> tags, the text MUST be copied exactly from the transcript — word for word, including filler words and sentence fragments. Do NOT paraphrase, rearrange, combine sentences from different parts of the transcript, or "clean up" quotes. If you cannot find the exact phrase in the transcript, do NOT present it as a direct quote. Instead, paraphrase in your own narrative voice without blockquote formatting (e.g., "Management noted that data center demand remains significant"). Every blockquote must be a verbatim, copy-paste excerpt that can be verified against the transcript.

Calculation Integrity Rule: For any multi-step calculation (implied quarterly figures from annual guidance, LTM P/E, y/y growth rates, segment y/y changes), write out each step explicitly and verify intermediate results before using them in the next step. If you state A + B + C = X, verify X is arithmetically correct before using X in a subsequent formula. If the appendix shows a sum that does not equal its stated components, the report is wrong. When in doubt, recompute from raw data rather than reusing a previously calculated intermediate.

Read the full file on GitHub · 525 lines

Files

What ships with it

2 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. today First seen · 525 lines · 46 tokens per session scan A 7580388cc443

Subscribe to this mod's changes

earnings-preview-single is a skill published in the GitHub repository anthropics/financial-services (34,793 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 9,683 once invoked, about $0.0002 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 2026-09-12.

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