A command for analyzing a company’s quarterly earnings and producing an equity-research update report. Equity research is analysis of publicly traded companies for investors.

Use it to analyze revenue and earnings surprises, segment performance, guidance, management commentary, and the reasons behind the results.

It gathers recent company filings, releases, call transcripts, presentations, and estimates so the report can compare results with expectations.

earnings — Command for Claude Code by yuping322

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.

Clone the repo

git clone --depth 1 https://github.com/yuping322/financial-services-plugins-new

Made for: Claude Code.

Or install equity-research, the plugin that ships this one along with the rest of its 9 skills, 9 commands.

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/commands/yuping322/financial-services-plugins-new/earnings/github.svg)](https://agentmods.dev/commands/yuping322/financial-services-plugins-new/earnings)

Your own site

<a href="https://agentmods.dev/commands/yuping322/financial-services-plugins-new/earnings"><img src="https://agentmods.dev/badge/commands/yuping322/financial-services-plugins-new/earnings/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/commands/yuping322/financial-services-plugins-new/earnings"><img src="https://agentmods.dev/badge/commands/yuping322/financial-services-plugins-new/earnings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,145 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.

Model	Per session	Once invoked
Fable 5.1	$0.00009	$0.01145
Opus 5	$0.00005	$0.00573
Sonnet 5	$0.00002	$0.00229
Haiku 4.5	$0.00001	$0.00114

Measured 9d ago against content hash 7dea0e12d0c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

earnings 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.

equity-research/commands/earnings.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Earnings Analysis Command

Create a professional equity research earnings update report analyzing quarterly results.

Workflow

Step 1: Gather Information

Parse the input for:

Company name or ticker
Quarter (e.g., Q3 2024, Q2 FY25)

If not provided, ask:

"What company's earnings would you like to analyze?"
"Which quarter? (e.g., Q3 2024)"

Step 2: Verify Timeliness

CRITICAL: Before proceeding, verify you have the latest data:

Search for "[Company] latest earnings results [current year]"
Verify the earnings release is within the last 3 months
Confirm transcript date matches release date

If data is stale, inform the user and search for the latest.

Step 3: Load Earnings Analysis Skill

Use skill: "earnings-analysis" to create the report:

Data Collection (search for latest):
- Earnings release (press release)
- 10-Q filing from SEC EDGAR
- Earnings call transcript
- Investor presentation/supplemental materials
- Consensus estimates (Bloomberg/FactSet)
Beat/Miss Analysis:
- Revenue vs consensus: Beat/Miss by $X or X%
- EPS vs consensus: Beat/Miss by $X or X%
- Key segment performance vs expectations
- Explain WHY results differed
Key Metrics Analysis:
- Revenue breakdown by segment/geography
- Margin trends (gross, operating, net)
- Guidance: raised/maintained/lowered
- Updated forward estimates
Generate Charts (8-12):
- Quarterly revenue progression
- Quarterly EPS progression
- Margin trends
- Revenue by segment
- Beat/miss summary
- Estimate revisions
- Valuation charts
Create Report (8-12 pages):
- Page 1: Summary with rating and price target
- Pages 2-3: Detailed results analysis
- Pages 4-5: Key metrics & guidance
- Pages 6-7: Updated investment thesis
- Pages 8-10: Valuation & estimates
- Sources section with clickable hyperlinks

Step 4: Deliver Output

Provide:

DOCX report - 8-12 page earnings update
Summary highlighting:
- Beat/miss on key metrics
- Guidance changes
- Thesis impact (positive/negative/neutral)

Read the full file on GitHub · 141 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.

9d ago First seen · 141 lines · 9 tokens per session scan A 7dea0e12d0c8

Subscribe to this mod's changes

earnings is a command published in the GitHub repository yuping322/financial-services-plugins-new (17 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 1,145 once invoked, about $0.0000 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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