Agent skill

Fin Earnings Preview

by criptogus in criptogus/agent-evolve-network

Build a pre-earnings preview for a stock using yfinance — earnings date, consensus estimates, beat/miss track record, analyst sentiment, and key metrics to watch.

MITAuto-check passedBusiness, Finance & HR

Install Fin Earnings Preview

skills CLI
$ npx skills add criptogus/agent-evolve-network --skill fin-earnings-preview -a claude-code

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

GitHub CLI
$ gh skill install criptogus/agent-evolve-network fin-earnings-preview --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/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fin-earnings-preview .claude/skills/fin-earnings-preview && 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
fin-earnings-preview
GitHub stars
288
Token cost
~898 tokens
SKILL.md length
341 words
Files
1
Skills in repo
107
Repo updated
First seen
Licence
MIT

At a glance

Build a pre-earnings preview for a stock using yfinance — earnings date, consensus estimates, beat/miss track record, analyst sentiment, and key metrics to watch.

  • The user asks for earnings preview work
  • SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
  • Calls npx
  • Tasks that involve Stock and market analysis

What it does

Fin Earnings Preview is an agent skill from criptogus/agent-evolve-network. Build a pre-earnings preview for a stock using yfinance — earnings date, consensus estimates, beat/miss track record, analyst sentiment, and key metrics to watch. Use when the user asks for earnings preview work, or mentions fin, earnings, preview.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Stock and market analysis. It works with yfinance. The licence is MIT.

When your agent uses it

  • The user asks for earnings preview work
  • Tasks that involve Stock and market analysis

Example prompts

  • “/fin-earnings-preview”

Requirements

  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit d19b920. 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

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    Links to these hosts (documentation or services it may open):

    • superagentskill.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

Fin Earnings Preview loads about 898 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 341 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~898

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

The full file from criptogus/agent-evolve-network at commit d19b920, republished under its MIT licence (© criptogus). 341 words, ~898 tokens.

Download SKILL.mdSave it as .claude/skills/fin-earnings-preview/SKILL.md (or your agent's skills folder).
name
fin-earnings-preview
description
Build a pre-earnings preview for a stock using yfinance — earnings date, consensus estimates, beat/miss track record, analyst sentiment, and key metrics to watch. Use when the user asks for earnings preview work, or mentions fin, earnings, preview.
version
0.1.0
license
MIT
homepage
https://superagentskill.com/marketplace/fin-earnings-preview
source
Super Agent Skill (SAK)

Earnings Preview

Use this skill when a user wants a preview ahead of a company's earnings report: when earnings are due, what consensus expects, how the company has done versus estimates historically, current analyst sentiment, and what to watch in the print. It gathers data via yfinance (calendar, estimates, earnings history, recommendations, recent financials).

Output is a structured preview with sections for earnings date/key info, consensus EPS/revenue estimates, historical beat/miss track record, analyst sentiment, and key metrics to watch. It is research/educational only, not financial advice, and does not predict the result or recommend trades.

Instructions

You are an equity-research assistant building an earnings preview from yfinance data. Step 1 - Ensure yfinance is available (install if missing). Step 2 - Identify the ticker and gather: calendar/earnings date, analyst EPS and revenue estimates, earnings_history (beat/miss track record), recommendations/analyst sentiment, and recent financials for context. Step 3 - Build the preview with sections: (1) Earnings Date & Key Info; (2) Consensus Estimates (EPS, revenue, growth); (3) Historical Beat/Miss Track Record (recent quarters, surprise magnitude); (4) Analyst Sentiment (rating distribution, recent changes); (5) Key Metrics to Watch (segment/guidance items relevant to the name). Step 4 - Respond with a clear, structured report. Caveats: estimates and ratings can be stale or thin; a preview is not a prediction. Research/educational only, not financial advice; do not recommend trades or predict the outcome.

Always

  • Fetch data via yfinance rather than answering from memory.
  • Cover earnings date, consensus, beat/miss history, analyst sentiment, and key metrics.
  • State that output is research/educational, not a prediction or financial advice.

Never

  • Predict the earnings result or recommend buying/selling around the print.
  • Present stale estimates without noting data freshness limitations.

Examples

Preview a print

Input:

Give me an earnings preview for MSFT

Expected output:

Reports the next earnings date, consensus EPS/revenue and growth, recent beat/miss track record,
analyst rating mix, and key segment metrics to watch. Disclaimer: research-only, not a prediction.
Beat/miss focus

Input:

How has NVDA done versus estimates historically?

Expected output:

Pulls earnings_history and summarizes surprise magnitude and direction across recent quarters,
with a note on sample size and that past surprises do not predict the next print.

Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.

Reinstall or update with npx skills update, or pull the live graded version with npx super-agent install fin-earnings-preview.

© criptogus, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/fin-earnings-preview of criptogus/agent-evolve-network.

Open the folder on GitHubat commit d19b920

Compare with similar skills

Fin Earnings Preview 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.

Fin Earnings Preview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fin Earnings Preview this skillcriptogus/agent-evolve-network288—~898Automated safety check: PassMIT
Stock Analysis24mlight/StockClaw1012 repos~2kAutomated safety check: NotesMIT
Regimejackson-video-resources/markov-hedge-fund-method483—~1.6kAutomated safety check: PassCustom licence
Stock Value AnalyzerFunnyKun/stock-value-analyzer139—~3.3kAutomated safety check: PassNone
Yahoo Finance24mlight/StockClaw1012 repos~1.1kAutomated safety check: NotesMIT
Stock Analysisliusai0820/Stock-Analysis-Skill142—~904Automated safety check: NotesNone

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Works with

Questions about Fin Earnings Preview

What does Fin Earnings Preview do?

Build a pre-earnings preview for a stock using yfinance — earnings date, consensus estimates, beat/miss track record, analyst sentiment, and key metrics to watch. Fin Earnings Preview is an agent skill from criptogus/agent-evolve-network. Build a pre-earnings preview for a stock using yfinance — earnings date, consensus estimates, beat/miss track record, analyst sentiment, and key metrics to watch.

When should I use Fin Earnings Preview?

Fin Earnings Preview fits situations like: the user asks for earnings preview work; tasks that involve Stock and market analysis.

How do I install Fin Earnings Preview in Claude Code?

Run `npx skills add criptogus/agent-evolve-network --skill fin-earnings-preview -a claude-code`. Or copy the skill folder (skills/fin-earnings-preview in criptogus/agent-evolve-network) into .claude/skills/fin-earnings-preview in your project. Claude Code loads it when a task matches its description.

How do I install Fin Earnings Preview in Codex?

Run `npx skills add criptogus/agent-evolve-network --skill fin-earnings-preview -a codex`. Or copy the skill folder (skills/fin-earnings-preview in criptogus/agent-evolve-network) into .agents/skills/fin-earnings-preview in your project. Codex loads it when a task matches its description.

Can I use Fin Earnings Preview 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 criptogus/agent-evolve-network --skill fin-earnings-preview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-earnings-preview, .gemini/skills/fin-earnings-preview, .github/skills/fin-earnings-preview and .opencode/skills/fin-earnings-preview in your project.

What does Fin Earnings Preview need to run?

Going by SKILL.md and its folder, Fin Earnings Preview needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Fin Earnings Preview access the network?

SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.

Is Fin Earnings Preview 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 Fin Earnings Preview use?

Fin Earnings Preview is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fin Earnings Preview use?

About 898 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fin Earnings Preview?

Skills that share tags, products or a category with Fin Earnings Preview: Stock Analysis (24mlight/StockClaw, 101 stars), Regime (jackson-video-resources/markov-hedge-fund-method, 483 stars), Stock Value Analyzer (FunnyKun/stock-value-analyzer, 139 stars) and Yahoo Finance (24mlight/StockClaw, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fin Earnings Preview?

criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 9, 2026.

Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.