Agent skill

Fin Earnings Recap

by criptogus in criptogus/agent-evolve-network

Build a post-earnings recap for a stock using yfinance — headline result vs estimates, quarterly financial trends, stock price reaction, and what changed.

MITAuto-check passedBusiness, Finance & HR

Install Fin Earnings Recap

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

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

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

At a glance

Build a post-earnings recap for a stock using yfinance — headline result vs estimates, quarterly financial trends, stock price reaction, and what changed.

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

What it does

Fin Earnings Recap is an agent skill from criptogus/agent-evolve-network. Build a post-earnings recap for a stock using yfinance — headline result vs estimates, quarterly financial trends, stock price reaction, and what changed. Use when the user asks for earnings recap work, or mentions fin, earnings, recap.

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 Financial analysis and Stock and market analysis. It works with yfinance. The licence is MIT.

When your agent uses it

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

Example prompts

  • “/fin-earnings-recap”

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 Recap loads about 898 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
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). 350 words, ~898 tokens.

Download SKILL.mdSave it as .claude/skills/fin-earnings-recap/SKILL.md (or your agent's skills folder).
name
fin-earnings-recap
description
Build a post-earnings recap for a stock using yfinance — headline result vs estimates, quarterly financial trends, stock price reaction, and what changed. Use when the user asks for earnings recap work, or mentions fin, earnings, recap.
version
0.1.0
license
MIT
homepage
https://superagentskill.com/marketplace/fin-earnings-recap
source
Super Agent Skill (SAK)

Earnings Recap

Use this skill when a user wants a recap after a company has reported earnings: the headline EPS and revenue result versus estimates, detailed beat/miss, quarterly financial trends, the stock's price reaction around the report, and context on what changed. It uses yfinance for earnings results, financial statements, and ~30 days of price history to capture the reaction window.

Output is a structured recap (headline result, earnings vs estimates detail, quarterly trends, price reaction, context). It correctly handles before/after-market timing when measuring the reaction. Research/educational only, not financial advice; it does not recommend trades.

Instructions

You are an equity-research assistant building a post-earnings recap from yfinance data. Step 1 - Ensure yfinance is available. Step 2 - Identify the ticker and gather: earnings result, financial statements, ~30 days of price history around the report, and context. Step 3 - Determine the most recent earnings date from earnings_history; measure the price reaction as close on the last trading day before earnings to close on the first trading day after, carefully accounting for before/after-market reporting timing. Step 4 - Build the recap with sections: (1) Headline Result (EPS/revenue actual vs estimate, beat/miss); (2) Earnings vs Estimates Detail; (3) Quarterly Financial Trends (revenue, margins, segment direction); (4) Stock Price Reaction (magnitude and direction); (5) Context & What Changed. Step 5 - Respond with a clear, structured report. Caveats: data may be partial or delayed; reaction windows are approximate. Research/educational only, not financial advice; do not recommend trades.

Show full SKILL.md (110 more words)Show less

Always

  • Fetch data via yfinance rather than answering from memory.
  • Account for before/after-market timing when computing the price reaction.
  • State that output is research/educational, not financial advice.

Never

  • Recommend buying or selling after the print.
  • Misattribute the reaction window without checking report timing.

Examples

Recap a print

Input:

Recap NVDA's latest earnings

Expected output:

Reports headline EPS/revenue vs estimates and beat/miss, quarterly trends, the measured price
reaction around the report date, and what changed. Disclaimer: research-only, not advice.
Reaction focus

Input:

How did the stock react to AAPL's last report?

Expected output:

Finds the earnings date, measures last-close-before to first-close-after (respecting after-hours
timing), and reports the percentage move with brief context. Not a trade recommendation.

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-recap.

© 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-recap of criptogus/agent-evolve-network.

Open the folder on GitHubat commit d19b920

Compare with similar skills

Fin Earnings Recap 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 Recap compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fin Earnings Recap this skillcriptogus/agent-evolve-network288—~898Automated safety check: PassMIT
Earnings Recaphimself65/finance-skills3.4k—~1.7kAutomated safety check: PassMIT
Macro Regime Detectortradermonty/claude-trading-skills3k1 repos~1.2kAutomated safety check: PassMIT
Stock AnalysisCoWork-OS/CoWork-OS473—~685Automated safety check: PassMIT
Stock Explorerfreestylefly/wesight9431 repos~525Automated safety check: PassMIT
Yfinance Datahimself65/finance-skills3.4k—~1.3kAutomated safety check: PassMIT

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Works with

Questions about Fin Earnings Recap

What does Fin Earnings Recap do?

Build a post-earnings recap for a stock using yfinance — headline result vs estimates, quarterly financial trends, stock price reaction, and what changed. Fin Earnings Recap is an agent skill from criptogus/agent-evolve-network. Build a post-earnings recap for a stock using yfinance — headline result vs estimates, quarterly financial trends, stock price reaction, and what changed.

When should I use Fin Earnings Recap?

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

How do I install Fin Earnings Recap in Claude Code?

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

How do I install Fin Earnings Recap in Codex?

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

Can I use Fin Earnings Recap 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-recap -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-recap, .gemini/skills/fin-earnings-recap, .github/skills/fin-earnings-recap and .opencode/skills/fin-earnings-recap in your project.

What does Fin Earnings Recap need to run?

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

Does Fin Earnings Recap 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 Recap 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 Recap use?

Fin Earnings Recap 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 Recap 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 Recap?

Skills that share tags, products or a category with Fin Earnings Recap: Earnings Recap (himself65/finance-skills, 3.4k stars), Macro Regime Detector (tradermonty/claude-trading-skills, 3k stars), Stock Analysis (CoWork-OS/CoWork-OS, 473 stars) and Stock Explorer (freestylefly/wesight, 943 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fin Earnings Recap?

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.