Home / ginlix-ai / langalpha · plugins/langalpha_research/skills/earnings-analysis/SKILL.md · GitHub

earnings-analysis skillA

earnings-analysis is agent-read markdown (skill) from ginlix-ai/langalpha: Post-print earnings update for a covered name: beat/miss decomposition, EPS quality, transcript debate map, estimate revisions, thesis impact. Also the call-only ask that wants the transcript Q&A and the debate map alone. Triggers on earnings update, post-earnings report, analyze quarterly results, Q[N] update, what management said on the call..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Earnings Update

A post-print report on a company already under coverage: what changed this quarter, whether the change recurs, what it does to estimates, and what it does to the thesis. Eight to twelve pages of DOCX, inside 48 hours of the release, written for a reader who already knows the company.

Route elsewhere when the request is a first-time initiation (`.agents/skills/initiating-coverage/SKILL.md`), a pre-print setup (`.agents/skills/earnings-preview/SKILL.md`), or a same-morning reaction blurb (`.agents/skills/morning-note/SKILL.md`).

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: `.agents/skills/research-conventions/SKILL.md`, read before the first deliverable.

## Output modes

| Mode | Fires when | Contract |
|---|---|---|
| Deep dive | the default | every phase present, the length budget below, assembled as a DOCX through `.agents/skills/docx/SKILL.md` |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ginlix-ai/langalpha/earnings-analysis@git:20260915.b214b52
Exact content
mdr add ginlix-ai/langalpha/earnings-analysis@sha256:2fd962bcd4f43e6f

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ywae3tjapxmsuswc.svg)](https://markdownregistry.com/a/art_ywae3tjapxmsuswc)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260915.b214b52 latest2026-09-15 b214b52 8,029 BA view · diff
git:20260826.8da358a2026-08-26 8da358a 8,439 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (8029 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

ginlix-ai/langalpha · 1,774 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ywae3tjapxmsuswc
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/earnings-analysis
GET https://markdownregistry.com/api/v1/blob/2fd962bcd4f43e6f35cd1dfbdd30b10b95c1ddbc3cc302d2f4cfb3448c73716f

Your agent 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.

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