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 0xMatdis/Robinhood-Chain-Bankr-Tools --skill rh-earnings-agentgit clone --depth 1 https://github.com/0xMatdis/Robinhood-Chain-Bankr-ToolsWrote 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/0xmatdis/robinhood-chain-bankr-tools/rh-earnings-agent)<a href="https://agentmods.dev/skills/0xmatdis/robinhood-chain-bankr-tools/rh-earnings-agent"><img src="https://agentmods.dev/badge/skills/0xmatdis/robinhood-chain-bankr-tools/rh-earnings-agent/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/0xmatdis/robinhood-chain-bankr-tools/rh-earnings-agent"><img src="https://agentmods.dev/badge/skills/0xmatdis/robinhood-chain-bankr-tools/rh-earnings-agent.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 | $0.00019 | $0.00372 |
| Opus 5 | $0.00010 | $0.00186 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
rh-earnings-agent 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.
What it actually says
RH Earnings Agent
Specialized AI agent that helps you capitalize on earnings reports of tokenized stocks (NVDA, AAPL, TSLA, META, etc.) with smart pre and post-earnings strategies.
Commands
- "prepare for NVDA earnings on robinhood"
- "show upcoming earnings this week"
- "set up earnings play for TSLA"
- "analyze post-earnings strategy"
- "create volatility play for earnings"
- "monitor earnings for my portfolio"
Capabilities
- Upcoming earnings calendar tracking
- Pre-earnings positioning strategies
- Post-earnings reaction automation
- Implied volatility analysis
- Risk-managed earnings plays (straddle-style, covered call, etc.)
- Historical earnings performance data
- Sentiment analysis before/after report
- Automated entry & exit rules with trailing stop
Example Usage
Prepare an earnings play strategy for NVDA this week on Robinhood Chain
Show me the best earnings opportunities for tokenized stocks in the next 7 days
Create a volatility-based strategy for TSLA earnings report
Monitor and auto-adjust position after AAPL earnings release
Supported Features
- Earnings calendar integration
- Pre & post-earnings automation
- Volatility-based trading logic
- Risk management & position sizing
- Historical performance reference
Notes
- Best used 1-3 days before major earnings
- Always review transaction details before execution
- High volatility expected during earnings season — use with caution
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 · 60 lines · 19 tokens per session scan A a96bad31ae83
rh-earnings-agent is a skill published in the GitHub repository 0xMatdis/Robinhood-Chain-Bankr-Tools (2 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 372 once invoked, about $0.0001 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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