canslim-screener SKILL.md skillA
canslim-screener 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/canslim-screener@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/canslim-screener/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260118.be84779, committed Jan 18, 2026
- Size
- 22,265 bytes
- Repository stars
- 291
- License
- MIT
Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.
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
# CANSLIM Stock Screener - Phase 2 ## Overview This skill screens US stocks using William O'Neil's proven CANSLIM methodology, a systematic approach for identifying growth stocks with strong fundamentals and price momentum. CANSLIM analyzes 7 key components: **C**urrent Earnings, **A**nnual Growth, **N**ewness/New Highs, **S**upply/Demand, **L**eadership/RS Rank, **I**nstitutional Sponsorship, and **M**arket Direction. **Phase 2** implements 6 of 7 components (C, A, N, S, I, M), representing **80% of the full methodology**. This phase adds critical volume analysis (S) and institutional ownership tracking (I) to the Phase 1 foundation. **Two-Stage Approach:** 1. **Stage 1 (FMP API + Finviz)**: Analyze stock universe with 6 CANSLIM components 2. **Stage 2 (Reporting)**: Rank by composite score and generate actionable reports **Key Features:** - Composite scoring (0-100 scale) with weighted components - **Finviz fallback** for institutional ownership data (automatic when FMP data incomplete) - Progressive filtering to optimize API usage - JSON + Markdown output formats - Interpretation bands: Exceptional+ (90+), Exceptional (80-89), Strong (70-79), Above Average (60-69) …
Read the whole file at its exact version.
How to install
mdr add nicepkg/ai-workflow/canslim-screener@sha256:0810188f2fa7ad16The 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_iow3aa2zvbpg7txx)
3 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 (22265 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 · 291 stars · license MIT · pushed 2026-01-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_iow3aa2zvbpg7txx GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/canslim-screener GET https://markdownregistry.com/api/v1/blob/0810188f2fa7ad1666e03d1201ab8ae63d7ebccb9b70a2cd9c74c7d2a78923cf
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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