kanchi-dividend-us-tax-accounting

kanchi-dividend-us-tax-accounting is a skill for Claude Code, Codex from mphinance/alpha-skills. It costs 65 tokens per session (987 once invoked), scanned A, a copy of kanchi-dividend-us-tax-accounting, MIT.

A workflow for handling US dividend tax classifications and deciding which accounts are suitable for different income investments. It covers qualified and ordinary dividends, tax forms, and holdings such as REITs and BDCs.

In plain words
What is it for?
It helps interpret Form 1099-DIV, check holding periods, classify dividend income, and plan whether dividend assets belong in taxable accounts or IRAs.
Why use it?
It brings holding periods, dividend types, and taxable versus retirement accounts into one auditable review without presenting itself as a replacement for professional tax advice.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the quant-skills plugin — 60 skills shipped together

Good fit It helps interpret Form 1099-DIV, check holding periods, classify dividend income, and plan whether dividend assets belong in taxable accounts or IRAs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mphinance/alpha-skills/kanchi-dividend-us-tax-accounting
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mphinance/alpha-skills --skill kanchi-dividend-us-tax-accounting
Clone the repo
git clone --depth 1 https://github.com/mphinance/alpha-skills

Made for: Claude Code, Codex.

Or install quant-skills, the plugin that ships this one along with the rest of its 60 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for kanchi-dividend-us-tax-accounting

README.md
[![agentmods](https://agentmods.dev/badge/skills/mphinance/alpha-skills/kanchi-dividend-us-tax-accounting/github.svg)](https://agentmods.dev/skills/mphinance/alpha-skills/kanchi-dividend-us-tax-accounting)
Your own site
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/kanchi-dividend-us-tax-accounting"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/kanchi-dividend-us-tax-accounting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for kanchi-dividend-us-tax-accounting

Your own site · 80×15
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/kanchi-dividend-us-tax-accounting"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/kanchi-dividend-us-tax-accounting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 987 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.00987
Opus 5.5 $0.00026 $0.00395
Sonnet 5.5 $0.00013 $0.00197
Haiku 4.5 $0.00006 $0.00099

Measured 1mo ago against content hash 026f8af7872a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kanchi-dividend-us-tax-accounting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/build_tax_planning_sheet.py, scripts/tests/conftest.py, scripts/tests/test_build_tax_planning_sheet.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

95% identical to kanchi-dividend-us-tax-accounting — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/quant-skills/skills/kanchi-dividend-us-tax-accounting/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kanchi Dividend Us Tax Accounting

Overview

Apply a practical US-tax workflow for dividend investors while keeping decisions auditable. Focus on account placement and classification, not legal/tax advice replacement.

When to Use

Use this skill when the user needs:

  • US dividend tax classification planning (qualified vs ordinary assumptions).
  • Holding-period checks before year-end tax planning.
  • Account-location decisions for stock/REIT/BDC/MLP income holdings.
  • A standardized annual dividend tax memo format.

Prerequisites

Prepare holding-level inputs:

  • ticker
  • instrument_type
  • account_type
  • hold_days_in_window (if available)

Expected JSON Input Format

{
  "holdings": [
    {
      "ticker": "JNJ",
      "instrument_type": "stock",
      "account_type": "taxable",
      "security_type": "common",
      "hold_days_in_window": 75
    },
    {
      "ticker": "O",
      "instrument_type": "reit",
      "account_type": "ira",
      "hold_days_in_window": 100
    }
  ]
}

For deterministic output artifacts, provide JSON input and run:

python3 skills/kanchi-dividend-us-tax-accounting/scripts/build_tax_planning_sheet.py \
  --input /path/to/tax_input.json \
  --output-dir reports/

Guardrails

Always state this clearly: tax outcomes depend on individual facts and jurisdiction. Treat this skill as planning support, then escalate final filing decisions to a tax professional.

Workflow

1) Classify each distribution stream

For each holding, classify expected cash flow into:

  • Potential qualified dividend.
  • Ordinary dividend/non-qualified distribution.
  • REIT/BDC-specific distribution components where applicable.

Use references/qualified-dividend-checklist.md for holding-period and classification checks.

2) Validate holding-period eligibility assumptions

For potential qualified treatment:

  • Check ex-dividend date windows.
  • Check required minimum holding days in the measurement window.
  • Flag positions at risk of failing holding-period requirement.

Read the full file on GitHub · 140 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 140 lines · 65 tokens per session scan A 026f8af7872a

Subscribe to this mod's changes

kanchi-dividend-us-tax-accounting is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 65 tokens to every session and 987 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to kanchi-dividend-us-tax-accounting, differing in 22 lines, and is treated as a copy.

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