earnings-analysis SKILL.md skillA

earnings-analysis from hhfinai/earnings-analysis is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hhfinai/earnings-analysis/earnings-analysis@v1.4.1

Pins v1.4.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hhfinai/earnings-analysis
Path
SKILL.md
Versions recorded
1
Latest version
v1.4.1, committed Apr 12, 2026
Size
24,555 bytes
Repository stars
3
License
MIT

Institutional-quality earnings analysis for public equities. Parses 10-Qs, earnings releases, and call transcripts into a 4-layer framework (Parse → Compare → Diagnose → Decide), runs a mechanical scoring engine that produces a composite verdict across beat quality, operational health, and management signals, and outputs a one-page earnings sheet, full memo (Word doc), risk map, or trade note. Use when asked to analyse earnings, review quarterly results, parse a 10-Q, summarise an earnings…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Earnings Analysis: Institutional-Quality Quarterly Review Framework

## Overview

This skill transforms raw earnings materials (filings, releases, transcripts) into structured investment-grade analysis. It moves beyond simple beat/miss reporting to diagnose *why* results deviated, *what matters* for the forward thesis, and *what action* follows — the way a senior buyside analyst processes a quarter.

**Philosophy**: The market doesn't pay for knowing what happened. It pays for knowing what changed, whether it's repeatable, and what's mispriced. Every earnings analysis must answer: "So what? What do I do now?"

**Two-part architecture.** The skill is a four-layer analytical framework (Parse → Compare → Diagnose → Decide) anchored by a Python scoring engine at `scripts/score_earnings.py` that produces a mechanical composite verdict, flag inventory, and expectations regime classification. The scorer runs at the end of Step 2 and anchors the judgment work in Steps 3 and 4 — it is an input to the diagnosis, not a replacement for it.

## Input Types & Parsing Priority

The skill handles these inputs, in priority order:

| Input Type | What to Extract | How to Access |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hhfinai/earnings-analysis/earnings-analysis@sha256:c4995eff7938d9ec

The line at the top of this page pins the label v1.4.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vfbaruwlfsulxvzq.svg)](https://markdownregistry.com/a/art_vfbaruwlfsulxvzq)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 12, 2026.

versioncommittedcommitsizeaudit
v1.4.1 latest2026-04-12 4a286c1 24,555 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (24555 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hhfinai/earnings-analysis · 3 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vfbaruwlfsulxvzq
GET https://markdownregistry.com/api/v1/resolve?ref=hhfinai/earnings-analysis/earnings-analysis
GET https://markdownregistry.com/api/v1/blob/c4995eff7938d9ec0287636455030d3e306d9274142b928098ca8a4700a90169

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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