earnings-calendar SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 5 indexed copies. Same content hash, so the same checks give both the same grade.
earnings-calendar from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nicepkg/ai-workflow/earnings-calendar@git:20260118.be84779Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nicepkg/ai-workflow
- Path
workflows/stock-trader-workflow/.claude/skills/weekly-trade-strategy/.claude/skills/earnings-calendar/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260118.be84779, committed Jan 18, 2026
- Size
- 22,964 bytes
- Repository stars
- 288
- License
- MIT
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments…
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 Calendar ## Overview This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. It focuses on companies with significant market capitalization (mid-cap and above, over $2B) that are likely to impact market movements. The skill generates organized markdown reports showing which companies are reporting earnings over the next week, grouped by date and timing (before market open, after market close, or time not announced). **Key Features**: - Uses FMP API for reliable, structured earnings data - Filters by market cap (>$2B) to focus on market-moving companies - Includes EPS and revenue estimates - Multi-environment support (CLI, Desktop, Web) - Flexible API key management - Organized by date, timing, and market cap ## Prerequisites ### FMP API Key This skill requires a Financial Modeling Prep API key. **Get Free API Key**: 1. Visit: https://site.financialmodelingprep.com/developer/docs 2. Sign up for free account 3. Receive API key immediately 4. Free tier: 250 API calls/day (sufficient for weekly earnings calendar) **API Key Setup by Environment**: **Claude Code (CLI)**: ```bash …
Read the whole file at its exact version.
How to install
mdr add nicepkg/ai-workflow/earnings-calendar@sha256:29873fb5a68c7c1fThe line at the top of this page pins the label git:20260118.be84779, 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_i4xbbq5yigrlxtvn)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jan 18, 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 (22964 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
nicepkg/ai-workflow · 288 stars · license MIT · pushed 2026-01-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_i4xbbq5yigrlxtvn GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/earnings-calendar GET https://markdownregistry.com/api/v1/blob/29873fb5a68c7c1fe60447b1555a028eed2162a0afda6451b972a895edc75c6e
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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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