Agent skill

Earnings Analysis

by Wind-Alice in Wind-Alice/AliceMarket

Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.

No licenceAuto-check passedBusiness, Finance & HR

Install Earnings Analysis

skills CLI
$ npx skills add Wind-Alice/AliceMarket --skill earnings-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Wind-Alice/AliceMarket earnings-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Wind-Alice/AliceMarket.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/earnings-analysis .claude/skills/earnings-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
earnings-analysis
GitHub stars
130
Used in
3 other repos
Token cost
~2.2k tokens
SKILL.md length
880 words
Files
4 (incl. references)
Skills in repo
10
Repo updated
First seen
Licence
None found

At a glance

Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.

  • Works in 10 steps: Speed & Timeliness → Beat/Miss Analysis → Summary Format → …
  • User requests earnings update
  • SKILL.md covers When to Use, Critical Requirements, High-Level Workflow and Output Specification, plus 3 more sections
  • Reaches sec.gov and seekingalpha.com

What it does

Earnings Analysis is an agent skill from Wind-Alice/AliceMarket. Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/best-practices.md`, `references/report-structure.md` and `references/workflow.md`).

It sits in Business, Finance & HR, covering Financial analysis, Stock and market analysis and Essays and academic help. It works with Model Context Protocol. The repository describes itself as: 将 Wind 丰富的金融数据、专业工具、技能Skill与专家Agent能力开放给各类 Agent 和智能应用。通过 MCP、Skill、API 等标准化方式,为不同场景下的 Agent 提供股票、债券、基金、期货、期权、宏观、行业、新闻、研报、会议等全市场、全资产、全品类资讯能力。不仅支持行情、财务、新闻、公告、研报、会议等资讯的查询能力;更可将Wind…

When your agent uses it

  • User requests earnings update
  • Quarterly update
  • Earnings analysis
  • Q1/Q2/Q3/Q4 results

Example prompts

  • “earnings update”
  • “quarterly update”
  • “earnings analysis”
  • “/earnings-analysis”

Requirements

  • Python 3

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Speed & Timeliness
  2. Beat/Miss Analysis
  3. Summary Format
  4. Citations & Source Attribution ⭐⭐⭐ MANDATORY
  5. Updated Estimates
  6. Data Collection (30-60 minutes)
  7. Analysis (2-3 hours)
  8. Chart Generation (1-2 hours)
  9. Report Creation (2-3 hours)
  10. Quality Check & Delivery (30 minutes)

What it can do on your machine

Read from SKILL.md and the folder at commit 213b170. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • sec.gov
    • seekingalpha.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Earnings Analysis loads about 2.2k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 880 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 880 words (~2,158 tokens).

“Create professional EARNINGS UPDATE REPORTS analyzing quarterly results for companies already under coverage, following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format).”

— opening of SKILL.md by Wind-Alice
name
earnings-analysis

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in skills/earnings-analysis of Wind-Alice/AliceMarket.

  • SKILL.md
  • references/best-practices.md
  • references/report-structure.md
  • references/workflow.md

Open the folder on GitHubat commit 213b170

Used in 3 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in Wind-Alice/AliceMarket, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Earnings Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Earnings Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Earnings Analysis this skillWind-Alice/AliceMarket1303 repos~2.2kAutomated safety check: PassNone
Longbridgehelsome/folio2701 repos~1.9kAutomated safety check: PassNone
Equiblessickn33/agentic-awesome-skills47k—~2.3kAutomated safety check: PassMIT
DCF Model Builderginlix-ai/LangAlpha1.8k—~7.7kAutomated safety check: PassApache-2.0
Financial Analyst MasterOctagonAI/skills127—~2.1kAutomated safety check: PassMIT
Senpi Market PulseSenpi-ai/senpi-skills134—~4.3kAutomated safety check: PassApache-2.0

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Questions about Earnings Analysis

What does Earnings Analysis do?

Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Earnings Analysis is an agent skill from Wind-Alice/AliceMarket. Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.

When should I use Earnings Analysis?

Earnings Analysis fits situations like: user requests earnings update; quarterly update; earnings analysis; Q1/Q2/Q3/Q4 results.

How do I install Earnings Analysis in Claude Code?

Run `npx skills add Wind-Alice/AliceMarket --skill earnings-analysis -a claude-code`. Or copy the skill folder (skills/earnings-analysis in Wind-Alice/AliceMarket) into .claude/skills/earnings-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Earnings Analysis in Codex?

Run `npx skills add Wind-Alice/AliceMarket --skill earnings-analysis -a codex`. Or copy the skill folder (skills/earnings-analysis in Wind-Alice/AliceMarket) into .agents/skills/earnings-analysis in your project. Codex loads it when a task matches its description.

Can I use Earnings Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Wind-Alice/AliceMarket --skill earnings-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/earnings-analysis, .gemini/skills/earnings-analysis, .github/skills/earnings-analysis and .opencode/skills/earnings-analysis in your project.

What does Earnings Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Earnings Analysis is instructions for the agent only. Our summary lists: Python 3.

Does Earnings Analysis access the network?

SKILL.md names 2 domains. In commands or code: sec.gov and seekingalpha.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Earnings Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Earnings Analysis use?

No licence was found for Earnings Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Earnings Analysis use?

About 2.2k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.

What are the alternatives to Earnings Analysis?

Skills that share tags, products or a category with Earnings Analysis: Longbridge (helsome/folio, 270 stars), Equibles (sickn33/agentic-awesome-skills, 47k stars), DCF Model Builder (ginlix-ai/LangAlpha, 1.8k stars) and Financial Analyst Master (OctagonAI/skills, 127 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Earnings Analysis?

Wind-Alice (a GitHub organization) maintains it in Wind-Alice/AliceMarket, which has 130 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 10, 2026.

Source: Wind-Alice/AliceMarket on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.