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 mphinance/alpha-skills --skill breakout-trade-plannergit clone --depth 1 https://github.com/mphinance/alpha-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/mphinance/alpha-skills/breakout-trade-planner)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/breakout-trade-planner"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/breakout-trade-planner/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/mphinance/alpha-skills/breakout-trade-planner"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/breakout-trade-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00077 | $0.00831 |
| Opus 5 | $0.00039 | $0.00415 |
| Sonnet 5 | $0.00015 | $0.00166 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
breakout-trade-planner 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.
This is a copy
81% identical to breakout-trade-planner — 8 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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Breakout Trade Planner
Generate trade plans from VCP screener output following Mark Minervini's breakout methodology. Calculate position sizes using worst-case entry prices, enforce portfolio risk limits, and output Alpaca API-compatible order templates.
When to Use
- User has VCP screener JSON output and wants trade plans
- User asks for breakout entry/stop/target calculation
- User wants Alpaca order templates for VCP breakout candidates
- User needs position sizing with portfolio heat management
Prerequisites
- VCP screener JSON output with
schema_version: "1.0" - No API keys required (works with local JSON files)
- No external skill dependencies (position sizing is built-in)
Workflow
Step 1: Generate Trade Plans
Run the planner with VCP screener output:
python3 skills/breakout-trade-planner/scripts/plan_breakout_trades.py \
--input reports/vcp_screener_YYYY-MM-DD.json \
--account-size 100000 \
--risk-pct 0.5 \
--output-dir reports/
Step 2: Review Output
Read the generated JSON and Markdown reports. Present:
- Actionable Orders — Pre-breakout candidates with order templates
- Revalidation — Breakout-state candidates needing live confirmation
- Watchlist — Developing VCP candidates to monitor
- Rejected/Deferred/Constrained — Candidates filtered by Gate or portfolio limits
Step 3: Explain Trade Plans
For each actionable order, explain:
- Entry levels (signal vs worst-case) and stop-loss placement
- R-multiple targets and reward-risk ratio
- Two execution modes: pre_place (stop-limit) vs post_confirm (limit after 5min confirmation)
- Portfolio risk contribution and cumulative heat
Minervini Gate (Filtering Criteria)
Candidates must pass ALL conditions:
| Condition | Pre-breakout | Breakout |
|---|---|---|
| valid_vcp | True | True |
| rating_band | good/strong/textbook | good/strong/textbook |
| risk_pct_worst | <= 8.0% | <= 8.0% |
| breakout_volume | — | True |
| distance_from_pivot | — | <= max_chase_pct |
| current_price | — | <= worst_entry |
What ships with it
9 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.
- README.md 3.4 KB
- references/minervini_entry_rules.md 2.3 KB
- scripts/order_builder.py 4.3 KB runs code
- scripts/plan_breakout_trades.py 21 KB runs code
- scripts/risk_calculator.py 6.1 KB runs code
- scripts/tests/conftest.py 254 B runs code
- scripts/tests/test_order_builder.py 4.9 KB runs code
- scripts/tests/test_plan_breakout_trades.py 11 KB runs code
- scripts/tests/test_risk_calculator.py 7.0 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 · 89 lines · 77 tokens per session scan A f9f0b70d8479
breakout-trade-planner is a skill published in the GitHub repository mphinance/alpha-skills (22 stars, last pushed 15d ago), licensed MIT. It adds 77 tokens to every session and 831 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to breakout-trade-planner, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.