Install
$ agentstack add skill-staskh-trading-skills-ib-report-delta-adjusted-notional-exposure ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
IB Delta-Adjusted Notional Exposure Report
Calculate and report delta-adjusted notional exposure across all Interactive Brokers accounts.
IB Connection
TWS or IB Gateway must be running locally with API enabled:
- Paper trading — port 7497
- Live trading — port 7496
Port fallback: If the configured port fails, automatically retry on the other port. If the retry succeeds, save to memory which account type worked (live/paper) and reuse it for all IB skill calls in this and future sessions — until the user explicitly asks for the other account. If both ports fail, ask the user to verify that TWS or IB Gateway is running with API access enabled.
Instructions
Step 1: Gather Data
uv run python scripts/delta_exposure.py [--port PORT]
The script returns JSON to stdout with all position deltas and summary data.
Step 2: Format Report
Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/.
Filename: delta_exposure_report_{YYYYMMDD}_{HHMMSS}.md
Step 3: Report Results
Present the summary table (total long, short, net) and top exposures to the user. Include the saved report path.
Arguments
--port- IB port (default: 7497 for paper trading)
JSON Output
Returns delta-adjusted notional exposure with:
connected- Booleanaccounts- List of account IDsposition_count- Total positionspositions- Array of positions with symbol, delta, delta_notional, spot pricesummary- Totals for long, short, and net delta notionalby_account- Long/short breakdown by accountby_underlying- Long/short/net breakdown by symbol
Methodology
- Equity Options: Delta calculated via Black-Scholes with estimated IV based on moneyness
- Futures: Delta = 1.0 (full notional exposure)
- Futures Options: Delta calculated with lower IV assumption (20%)
- Stocks: Delta = 1.0
Delta-adjusted notional = delta x spot price x quantity x multiplier
Examples
# Paper trading (default)
uv run python scripts/delta_exposure.py
# Live trading
uv run python scripts/delta_exposure.py --port 7496
Timezone
All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: staskh
- Source: staskh/trading_skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.