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 staskh/trading_skills --skill insider-tradinggit clone --depth 1 https://github.com/staskh/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/staskh/trading_skills/insider-trading)<a href="https://agentmods.dev/skills/staskh/trading_skills/insider-trading"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/insider-trading/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/staskh/trading_skills/insider-trading"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/insider-trading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00044 | $0.00375 |
| Opus 5 | $0.00022 | $0.00187 |
| Sonnet 5 | $0.00009 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
insider-trading 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 11d 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.
What it actually says
Insider Trading
Fetch recent insider transactions from Yahoo Finance (SEC Form 4 data).
Instructions
Note: If
uvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin 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.
What ships with it
1 file 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.
- 11d ago First seen · 45 lines · 44 tokens per session scan A 00b802765532
insider-trading is a skill published in the GitHub repository staskh/trading_skills (363 stars, last pushed 9d ago), licensed MIT. It adds 44 tokens to every session and 375 once invoked, about $0.0002 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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