Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
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.
npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-sopgit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote 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.
[](https://agentmods.dev/skills/tradermonty/claude-trading-skills/kanchi-dividend-sop)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/kanchi-dividend-sop"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/kanchi-dividend-sop/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.
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/kanchi-dividend-sop"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/kanchi-dividend-sop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.03289 |
| Opus 5 | $0.00042 | $0.01644 |
| Sonnet 5 | $0.00017 | $0.00658 |
| Haiku 4.5 | $0.00008 | $0.00329 |
Grade A, and why
kanchi-dividend-sop 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 12d ago.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- kanchi-dividend-sop — 92% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
export FMP_API_KEY=your_api_key_here
Input Sources
Prepare one of the following inputs before running the workflow:
- Output from
skills/value-dividend-screener/scripts/screen_dividend_stocks.py. - Output from
skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py. - User-provided ticker list (broker export or manual list).
Expected JSON Input Format
When using --input, provide JSON in one of these formats:
{
"profile": "balanced",
"candidates": [
{"ticker": "JNJ", "bucket": "core"},
{"ticker": "O", "bucket": "satellite"}
]
}
Or simplified:
{
"tickers": ["JNJ", "PG", "KO"]
}
The optional value-dividend-screener and
dividend-growth-pullback-screener handoffs use stocks[].symbol.
Both build_sop_plan.py --input and build_entry_signals.py --input
accept that shape directly, as well as the native candidates[].ticker and
tickers[] shapes above.
For deterministic artifact generation, provide tickers to:
python3 skills/kanchi-dividend-sop/scripts/build_sop_plan.py \
--tickers "JNJ,PG,KO" \
--output-dir reports/
For Step 5 entry timing artifacts. --yield-floor is mandatory — it is
the Step-1 yield gate; without it every row fail-safes to STEP1-RECHECK
(a row can never reach a PASS tier without Step 1). Pass --profile /
--safety-bias for run_context, and --events-json for the Step 4b scan
(absent ⇒ every row is treated as SKIPPED and a TRIGGERED name is capped
to HOLD-REVIEW — never silently clean):
What ships with it
25 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 108 B
- references/default-thresholds.md 2.8 KB
- references/sector-step2-modules.md 4.0 KB
- references/stock-note-template.md 2.5 KB
- references/valuation-and-one-off-checks.md 1.6 KB
- requirements.txt 128 B
- scripts/build_entry_signals.py 28 KB runs code
- scripts/build_sop_plan.py 4.6 KB runs code
- scripts/dividend_basis.py 14 KB runs code
- scripts/event_scanner.py 9.3 KB runs code
- scripts/payout_safety.py 11 KB runs code
- scripts/tests/conftest.py 149 B runs code
- scripts/tests/test_build_entry_signals.py 4.9 KB runs code
- scripts/tests/test_build_sop_plan.py 2.0 KB runs code
- scripts/tests/test_dividend_basis.py 6.6 KB runs code
- scripts/tests/test_event_scanner.py 4.1 KB runs code
- scripts/tests/test_fifth_review_fixes.py 5.3 KB runs code
- scripts/tests/test_golden_p0_sector.py 4.0 KB runs code
- scripts/tests/test_golden_p0.py 4.7 KB runs code
- scripts/tests/test_payout_safety.py 4.4 KB runs code
- scripts/tests/test_seventh_review_fixes.py 3.9 KB runs code
- scripts/tests/test_sixth_review_fixes.py 4.8 KB runs code
- scripts/tests/test_verdict.py 2.7 KB runs code
- scripts/thresholds.py 4.1 KB runs code
- scripts/verdict.py 5.2 KB runs code
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.
- 12d ago First seen · 291 lines · 83 tokens per session scan A db744243980e
kanchi-dividend-sop is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 3,289 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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