Skip to main content
skill CX Codex GP ChatGPT official · OpenAI

earnings-deep-dive — Codex skill: post-earnings analysis

A skill for analyzing a public company after results, guidance or the earnings call are out. It is not meant for pre-print previews.

Install into Codex · Skills CLI (Vercel) All methods and platforms ↓
npx skills add openai/plugins --skill earnings-deep-dive -a codex
Open on GitHub

What earnings-deep-dive does

The skill works on numbers that are already published. Official filings and releases come first, the call transcript backs the narrative and any guidance that only came up on the call. Every figure and quote carries a source tag; anything derived by the analyst needs its formula, assumptions and a confidence note. GAAP versus non-GAAP, reported versus constant currency, company guidance versus analyst estimates — all of it stays labelled, so the two do not blur together.

There are several routes. The default is a full deep dive: quarterly key metrics and growth trajectory built on the issuer's own drivers, a Q&A treatment and a debate map. Ask for something short and you get a one-page tear sheet. If you explicitly want a dashboard, the skill keeps ownership of the analysis and hands a public_equity_investing_dashboard.v1 payload to dashboard-builder. A deterministic file mode exists too, for when you supply plan.json, normalized CSVs or model-update inputs.

Before gathering evidence the skill reads the shared runtime contract in ../public-equity-investing/SKILL.md and resolves only the source categories the task needs: filings and IR, transcripts and presentations, internal research, portfolio models and trackers, market data and estimates. When no transcript exists, a full deep dive does not render an empty Q&A table — it shows a visible limitation labelled transcript not provided or transcript source not found and names the missing artifact.

What it helps with

  • separate one-off items from recurring operating performance after a print
  • attach a source tag to every reported number and quote
  • map call Q&A by questioner, firm and answering executive
  • check whether below-the-line items distort headline EPS
  • produce a standalone HTML report after results

Example prompts for the agent

  • Run a full deep dive on this quarter's results using the latest call and guidance
  • Give me a one-page tear sheet on the print
  • Map the call Q&A and list what confirms and what breaks the bull case

How to install earnings-deep-dive

1Skills CLI (Vercel)

npx skills add openai/plugins --skill earnings-deep-dive -a codex

2Manually: put the files in place

.agents/skills/earnings-deep-dive/SKILL.md

For all projects use ~/.agents/skills/

Step by step, with commands for each platform: Codex skills: how to install, where they live, how to call them

Questions about earnings-deep-dive

How do I install earnings-deep-dive in Claude?

Run npx skills add openai/plugins --skill earnings-deep-dive -a codex, then check .agents/skills/earnings-deep-dive/SKILL.md.

What does earnings-deep-dive do?

It analyzes a public company's published earnings: the numbers, the guidance and the call transcript. Output includes source-tagged figures, a Q&A treatment and a debate map.

Can I use it before earnings are released?

No. It is built for work after results, guidance or call commentary are available, and it is not intended for pre-print previews.

Similar skills

All skills for Finance and business →

From the same set420

The whole set →

Project sponsors

Companies that keep this analytics open
Gold sponsor

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor