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 stockbee-momentum-burst-screenergit 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/stockbee-momentum-burst-screener)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/stockbee-momentum-burst-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/stockbee-momentum-burst-screener/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/stockbee-momentum-burst-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/stockbee-momentum-burst-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00097 | $0.00988 |
| Opus 5 | $0.00048 | $0.00494 |
| Sonnet 5 | $0.00019 | $0.00198 |
| Haiku 4.5 | $0.00010 | $0.00099 |
Grade A, and why
stockbee-momentum-burst-screener 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 9d 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:
- stockbee-momentum-burst-screener — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stockbee Momentum Burst Screener
Screen US equities for Stockbee-style short-term Momentum Burst candidates. The skill is a candidate-generation and setup-quality workflow, not a signal service or an auto-execution system.
When to Use
- User asks for Stockbee / Pradeep Bonde style Momentum Burst screening
- User wants 4% breakout, dollar breakout, or range expansion candidates
- User asks for short-term 3-5 day swing momentum setups
- User wants to review whether a daily breakout has A/B/C setup quality
- User provides a symbol list, universe file, or historical OHLCV JSON for screening
- User wants candidate outputs to feed into
technical-analyst,position-sizer, ortrader-memory-core
Prerequisites
- FMP API key for live universe and historical OHLCV screening:
export FMP_API_KEY=your_api_key_here - Optional no-API path: provide
--prices-jsoncontaining daily OHLCV bars by symbol. - Run only after the market-regime workflow allows new swing risk, or mark output as manual-review-only.
Workflow
Step 1: Choose Input Mode
Use one of three modes:
Mode A: FMP universe scan
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
--fmp-universe \
--max-symbols 300 \
--output-dir reports/
Mode B: Explicit symbols
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
--symbols NVDA SMCI PLTR TSLA \
--output-dir reports/
Mode C: Offline OHLCV JSON
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
--prices-json data/daily_ohlcv.json \
--output-dir reports/
Step 2: Run the Screening Pass
The script detects these trigger families:
- 4% Breakout:
close / previous_close >= 1.04, volume above previous day, and volume above the liquidity floor - Dollar Breakout:
close - open >= 0.90, volume above the liquidity floor - Range Expansion: current daily range exceeds the prior three daily ranges while the prior day was not already extended
What ships with it
6 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.
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.
- 9d ago First seen · 104 lines · 97 tokens per session scan A cfa25c366847
stockbee-momentum-burst-screener is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 988 once invoked, about $0.0005 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 2026-09-03.
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