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 tradermonty/hermes-trading-research-agent-work-package --skill trading-research-orchestratorgit clone --depth 1 https://github.com/tradermonty/hermes-trading-research-agent-work-packageWrote 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/tradermonty/hermes-trading-research-agent-work-package/trading-research-orchestrator)<a href="https://agentmods.dev/skills/tradermonty/hermes-trading-research-agent-work-package/trading-research-orchestrator"><img src="https://agentmods.dev/badge/skills/tradermonty/hermes-trading-research-agent-work-package/trading-research-orchestrator/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/tradermonty/hermes-trading-research-agent-work-package/trading-research-orchestrator"><img src="https://agentmods.dev/badge/skills/tradermonty/hermes-trading-research-agent-work-package/trading-research-orchestrator.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 | $0.00035 | $0.00713 |
| Opus 5 | $0.00017 | $0.00357 |
| Sonnet 5 | $0.00007 | $0.00143 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
trading-research-orchestrator 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
Trading Research Orchestrator
Use this skill as the front door for all trading research tasks.
Mission
Select the right trading workflow and coordinate installed skills without making the user remember individual skill names.
First decision
Classify the request into one of these routes:
| User intent | Preferred bundle / skills |
|---|---|
| "Morning", "pre-market", "before open" | pre-market-routine |
| "after close", "EOD", "what changed today" | after-close-review |
| "earnings", "gap", "PEAD" | earnings-movers-triage |
| "market regime", "risk-on", "breadth" | market-regime-daily |
| "find swing candidates", "VCP", "CANSLIM" | swing-opportunity-daily |
| "journal", "log trade", "postmortem" | trade-journal |
| "weekly portfolio", "dividend", "holdings" | weekly-portfolio-review |
| "monthly review", "process improvement" | monthly-performance-review |
If trading-skills-navigator is available, consult it before selecting the route. If it is not available, use the table above.
Skill-selection principles
- Start with market regime before candidate generation.
- Only generate candidate lists when risk posture is not blocked.
- Use earnings-specific skills for post-earnings movers instead of generic stock analysis.
- Use
trader-memory-corewhenever a decision, thesis, or review artifact should persist. - Use
position-sizeronly for sizing calculations, not to imply a trade should be taken.
Required output discipline
Every research output must include:
- Skill(s) used or intended.
- Data freshness / missing data.
- Degraded-mode caveats if any API or external repo is unavailable.
- Human decision gate.
For ticker candidates, include:
- Ticker.
- Setup type.
- Thesis.
- Invalidation condition.
- Risk notes.
- Next human action.
Forbidden behavior
Do not output commands such as "Buy", "Sell", "Short", "Enter now", or "Place this order" as direct instructions. Use watchlist/research language.
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 · 78 lines · 35 tokens per session scan A d316827bb7e4
trading-research-orchestrator is a skill published in the GitHub repository tradermonty/hermes-trading-research-agent-work-package (38 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 713 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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