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 JoelLewis/finance_skills --skill operational-riskgit clone --depth 1 https://github.com/JoelLewis/finance_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/joellewis/finance_skills/operational-risk)<a href="https://agentmods.dev/skills/joellewis/finance_skills/operational-risk"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/operational-risk/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/joellewis/finance_skills/operational-risk"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/operational-risk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00130 | $0.05638 |
| Opus 5.5 | $0.00052 | $0.02255 |
| Sonnet 5.5 | $0.00026 | $0.01128 |
| Haiku 4.5 | $0.00013 | $0.00564 |
Grade A, and why
operational-risk 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 1mo 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 — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operational Risk
Core Concepts
Operational Risk Framework
Operational risk is the risk of loss resulting from inadequate or failed internal processes, people, and systems, or from external events. The Basel Committee's seven event-type categories map to trading operations as follows:
| Basel event type | Trading-operations examples |
|---|---|
| 1. Internal fraud | Unauthorized trading, intentional position mismarking, fictitious trade booking, front-running |
| 2. External fraud | Account takeover, phishing for trade credentials, wire fraud in settlement instructions, counterparty manipulation |
| 3. Employment practices and workplace safety | Inadequate operations training, key-person dependency, error-inducing workload |
| 4. Clients, products, and business practices | Suitability failures, improper execution, best execution violations, failure to follow client instructions |
| 5. Damage to physical assets | Data center or trading floor damage from natural disasters or civil disruption |
| 6. Business disruption and system failures | OMS outages, market data feed failures, connectivity loss, exchange gateway and clearing system downtime |
| 7. Execution, delivery, and process management | Trade errors, settlement fails, reconciliation breaks, failed corporate action processing, incorrect margin calculations (typically the largest loss category) |
Risk identification involves cataloging all operational risk exposures through process mapping, risk and control self-assessments (RCSAs), loss event analysis, scenario analysis, and audit findings. Risk assessment scores each risk on likelihood and impact dimensions, typically using a 5x5 heat map. Risk monitoring tracks KRIs, loss events, and control effectiveness. Risk mitigation applies controls (preventive and detective), process redesign, technology solutions, insurance, and business continuity planning.
Trade Errors
A trade error occurs when a transaction is executed incorrectly due to human mistake, system malfunction, or miscommunication. Common trade error types include:
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.
- 1mo ago First seen · 246 lines · 130 tokens per session scan A bb063133eae4
operational-risk is a skill published in the GitHub repository JoelLewis/finance_skills (218 stars, last pushed 3mo ago), licensed MIT. It adds 130 tokens to every session and 5,638 once invoked, about $0.0005 per session on Opus 5.5. 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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