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 yyordanov-tradu/stock-scanner-mcp --skill insider-trackergit clone --depth 1 https://github.com/yyordanov-tradu/stock-scanner-mcpWrote 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/yyordanov-tradu/stock-scanner-mcp/insider-tracker)<a href="https://agentmods.dev/skills/yyordanov-tradu/stock-scanner-mcp/insider-tracker"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/insider-tracker/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/yyordanov-tradu/stock-scanner-mcp/insider-tracker"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/insider-tracker.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 | $0.00030 | $0.01142 |
| Opus 5 | $0.00015 | $0.00571 |
| Sonnet 5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
insider-tracker 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insider Activity Tracker
Overview
Act as a compliance and research analyst specializing in insider transaction analysis. Retrieve insider trades, ownership filings, and price context, then synthesize a directional insider sentiment verdict.
Announce at start: "Analyzing insider activity for [TICKER]..."
Input
Parse $ARGUMENTS as a single stock ticker (e.g., AAPL, TSLA).
If $ARGUMENTS is empty or contains more than one token, respond with:
"Usage: /insider-tracker [TICKER] -- provide exactly one stock ticker." and STOP.
Normalize ticker to uppercase. Set ticker variable.
Data Collection
Wave 1 -- ALL calls in parallel
| Tool | Parameters | Priority |
|---|---|---|
edgar_insider_trades |
ticker=ticker, limit=20 | REQUIRED |
edgar_ownership_filings |
ticker=ticker | REQUIRED |
tradingview_quote |
tickers=[ticker] | REQUIRED |
finnhub_earnings_calendar |
from=today, to=today+30, symbol=ticker | ENRICHMENT |
alphavantage_earnings_history |
symbol=ticker, limit=4 | ENRICHMENT |
If a REQUIRED tool fails, report the failure and continue with available data. If an ENRICHMENT tool fails, silently omit that section.
Analysis
DO NOT reproduce raw tool output. Cross-reference and synthesize:
- Classify trades. Separate insider transactions into buys vs sells. Note transaction sizes (shares and dollar value where available).
- Net insider sentiment. Count net buy vs sell transactions and net shares over the period. Exclude 10b5-1 planned sales from the net sell count before scoring. State the ratio clearly (e.g., "12 buys vs 3 sells").
- Cluster detection. Flag when 3+ distinct insiders trade in the same direction within a 30-day window. This is a strong directional signal.
- Pre-earnings timing. If earnings are within 30 days AND insiders traded recently, flag as potential pre-earnings positioning. Note the gap in days.
- Activist watch. Check ownership filings for 13D or 13G filings. These indicate activist or large block positions (>5% ownership).
- Price cross-reference. Compare insider trade direction with recent price trend. Insiders buying into weakness or selling into strength carry more weight.
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 · 115 lines · 30 tokens per session scan A bf0c2fe682c5
insider-tracker is a skill published in the GitHub repository yyordanov-tradu/stock-scanner-mcp (6 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 1,142 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 2026-08-31.
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