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 Oft3r/agentic-trading-desk --skill gemini-sparkgit clone --depth 1 https://github.com/Oft3r/agentic-trading-deskWrote 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/oft3r/agentic-trading-desk/gemini-spark)<a href="https://agentmods.dev/skills/oft3r/agentic-trading-desk/gemini-spark"><img src="https://agentmods.dev/badge/skills/oft3r/agentic-trading-desk/gemini-spark/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/oft3r/agentic-trading-desk/gemini-spark"><img src="https://agentmods.dev/badge/skills/oft3r/agentic-trading-desk/gemini-spark.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 | $0.00068 | $0.02844 |
| Opus 5.5 | $0.00027 | $0.01138 |
| Sonnet 5.5 | $0.00014 | $0.00569 |
| Haiku 4.5 | $0.00007 | $0.00284 |
Grade B, and why
agentic-trading-desk scanned grade B with 1 finding 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 2d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
Scripts are pure Python stdlib (3.9+); they do not require external network access or tzdata. They live in `scripts/` inside this skill's directory. Run any script with no arguments to execute its self-test; a non-zero e How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Trading Desk
Operations manual for technical trading analysis and execution management.
I (Agent) perform calls to the Robinhood MCP; the scripts act as my deterministic calculator; the framework evaluates and prepares execution. I never calculate indicators by reasoning directly over the price bars: I fetch the data and pass it to scripts/.
Guardrails — Read First, Non-Negotiable
- Protected positions: Certain tickers may be designated as restricted (e.g., stock grants). NEVER analyze them to sell or trim, nor include them in exit suggestions. They should only be mentioned as exposure context if relevant.
- Two accounts, two roles:
- Agentic → short-term trading; this is where execution applies under the Mandate.
- Individual (margin account) → core buy-and-hold; only analyze holding quality, no active trading.
- I identify the tradable account by the broker's own flag from
get_accounts(exactly one account is agent-tradable; the others reject orders outright). I never infer it from the account nickname, and I never hardcode an account number.
- Buying power: I always take
get_portfolio.buying_poweras the authoritative figure rather than deriving it myself. Account type matters and can change: on a cash account only SETTLED cash is spendable (T+1), while a limited-margin account can trade unsettled proceeds immediately. - HTML visualization only on Fridays as part of the weekly review ritual. Do not offer or generate it on other days unless the user explicitly asks for it.
- Macro source (optional / best-effort): Investing.com. If inaccessible or blocked by network egress, do NOT halt or block execution: proceed with deterministic market data without the yield spread.
- Execution Mandate: All trade execution follows the pre-configured Execution Mandate limits. Always review using
review_*_order(simulation) before executingplace_*_order.
Execution Mandate & Boundaries
The system operates strictly within these boundaries. A limit exceeded is a directive to not trade and report:
What ships with it
4 files 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.
- 2d ago Changed · +4 lines scan A → B e15026706314
- 1mo ago First seen · 142 lines · 68 tokens per session scan A c7550c7c6284
agentic-trading-desk is a skill published in the GitHub repository Oft3r/agentic-trading-desk (313 stars, last pushed 3d ago), licensed MIT. It adds 68 tokens to every session and 2,844 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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