kanchi-dividend-sop SKILL.md skillA
kanchi-dividend-sop from tradermonty/claude-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tradermonty/claude-trading-skills/kanchi-dividend-sop@git:20261019.a351386Pins git:20261019.a351386 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tradermonty/claude-trading-skills
- Path
skills/kanchi-dividend-sop/SKILL.md- Versions recorded
- 6
- Latest version
- git:20261019.a351386, committed Oct 19, 2026
- First version recorded
- Mar 3, 2026
- Size
- 13,259 bytes
- Repository stars
- 3,682
- License
- MIT
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.
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
# Kanchi Dividend Sop
## Overview
Implement Kanchi's 5-step method as a deterministic workflow for US dividend investing.
Prioritize safety and repeatability over aggressive yield chasing.
## When to Use
Use this skill when the user needs:
- Kanchi-style dividend stock selection adapted for US equities.
- A repeatable screening and pullback-entry process instead of ad-hoc picks.
- One-page underwriting memos with explicit invalidation conditions.
- A handoff package for monitoring and tax/account-location workflows.
## Prerequisites
### API Key Setup
The entry signal script requires FMP API access:
```bash
export FMP_API_KEY=your_api_key_here
```
### Input Sources
Prepare one of the following inputs before running the workflow:
1. Output from `skills/value-dividend-screener/scripts/screen_dividend_stocks.py`.
2. Output from `skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py`.
3. User-provided ticker list (broker export or manual list).
#### Expected JSON Input Format
When using `--input`, provide JSON in one of these formats:
```json
{
"profile": "balanced",
"candidates": [
{"ticker": "JNJ", "bucket": "core"},
…Read the whole file at its exact version.
How to install
mdr add tradermonty/claude-trading-skills/kanchi-dividend-sop@sha256:99e642f366a8cde9The line at the top of this page pins the label git:20261019.a351386, 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_hj7h7p4yv5v6wr45)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Mar 3, 2026 and Oct 19, 2026, about one every 46 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261019.a351386 latest | 2026-10-19 | a351386 | 13,259 B | A | view · diff |
| git:20260719.5912fa6 | 2026-07-19 | 5912fa6 | 12,496 B | A | view · diff |
| git:20260718.b7f5081 | 2026-07-18 | b7f5081 | 12,212 B | A | view · diff |
| git:20260520.863b534 | 2026-05-20 | 863b534 | 12,208 B | A | view · diff |
| git:20260517.7e57390 | 2026-05-17 | 7e57390 | 12,203 B | A | view · diff |
| git:20260303.49f4e4f | 2026-03-03 | 49f4e4f | 7,042 B | A | view |
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 (13259 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
tradermonty/claude-trading-skills · 3,682 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hj7h7p4yv5v6wr45 GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/kanchi-dividend-sop GET https://markdownregistry.com/api/v1/blob/99e642f366a8cde974b26f692685d38dcc07f3e23f9b70203f5d440d2bb0c893
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.