Install
$ agentstack add skill-staskh-trading-skills-insider-trading ✓ 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.
Verified badge
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
Insider Trading
Fetch recent insider transactions from Yahoo Finance (SEC Form 4 data).
Instructions
> Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.
uv run python scripts/insider_trading.py SYMBOLS [--days DAYS]
Arguments
SYMBOLS- Single ticker or comma-separated list (e.g.,NVDAorNVDA,PLTR,GOOG)--days- Trailing days to look back (default: 90)
Output
Returns JSON with:
transactions- List of insider trades with insider name, role, transaction type, shares, price, value, date, ownership typesummary- Net sentiment (net_buying,net_selling,neutral), buy/sell counts and values
For multiple symbols, results are ranked by net buying value (most buying first).
Use Cases
- "Show me insider buys for NVDA in the last 90 days"
- "Compare insider activity across NVDA, PLTR, GOOG"
- "Which of these stocks has the most insider selling recently?"
Dependencies
yfinance
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.