earnings-watch SKILL.md skillA
earnings-watch from luiseiman/dotforge is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add luiseiman/dotforge/earnings-watch@git:20260320.6fe4825Pins git:20260320.6fe4825 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- luiseiman/dotforge
- Path
stacks/trading/skills/earnings-watch/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260320.6fe4825, committed Mar 20, 2026
- Size
- 2,698 bytes
- Repository stars
- 8
- License
- MIT
Quick post-earnings analysis for portfolio holdings. Beat/miss, key metrics, thesis impact, estimate revision. Triggers on "earnings update", "quarterly results", "Q1/Q2/Q3/Q4 results", "post-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 Watch Fast-turnaround post-earnings analysis focused on thesis impact. NOT a full initiation report — assumes you already know the company. ## Step 1: Data Collection **CRITICAL: Training data is outdated. ALWAYS search for current data.** 1. Write down today's date 2. Web search: "[Company] latest earnings results [current year]" 3. Verify earnings release date is within last 3 months 4. Collect: earnings release, 10-Q/10-K, call transcript, guidance **For CEDEARs:** fetch the underlying US company's earnings, then calculate impact on CEDEAR price considering CCL. ## Step 2: Beat/Miss Analysis | Metric | Consensus | Actual | Delta | Beat/Miss | |--------|-----------|--------|-------|-----------| | Revenue | | | $ / % | | | EPS | | | $ / % | | | [Key metric 1] | | | | | | [Key metric 2] | | | | | Lead with the headline: "AAPL Q3: Revenue beat by $2.1B (+3%), EPS beat by $0.12 (+8%)" ## Step 3: Key Takeaways 3-5 bullet points, prioritized by thesis relevance: - What was NEW (not rehashing known info) - What management said about forward guidance - Any change in capital allocation (buybacks, dividends, capex) - Segment/geography surprises …
Read the whole file at its exact version.
How to install
mdr add luiseiman/dotforge/earnings-watch@sha256:8840584dce861378The line at the top of this page pins the label git:20260320.6fe4825, 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.
[](https://markdownregistry.com/a/art_eefl5xpt2qsmmwti)
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Versions
The registry has recorded 1 version of this file, committed on Mar 20, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2698 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
luiseiman/dotforge · 8 stars · license MIT · pushed 2026-10-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_eefl5xpt2qsmmwti GET https://markdownregistry.com/api/v1/resolve?ref=luiseiman/dotforge/earnings-watch GET https://markdownregistry.com/api/v1/blob/8840584dce861378d8a3643aba9d5ab3ce5100c2467f7fc7324e4de30af80f5d
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.