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 workflow-automationgit 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/workflow-automation)<a href="https://agentmods.dev/skills/joellewis/finance_skills/workflow-automation"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/workflow-automation/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/workflow-automation"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/workflow-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00143 | $0.05572 |
| Opus 5 | $0.00072 | $0.02786 |
| Sonnet 5 | $0.00029 | $0.01114 |
| Haiku 4.5 | $0.00014 | $0.00557 |
Grade A, and why
workflow-automation 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 11d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Automation
Core Concepts
1. BPM Fundamentals for Financial Operations
Business process management (BPM) is the discipline of modeling, executing, monitoring, and improving operational processes. In securities operations, BPM applies to every repeatable process that involves multiple steps, multiple participants, or decision points: account opening, account maintenance requests, transfer processing, corporate action elections, reconciliation break resolution, and billing exception handling.
Process modeling. A workflow begins as a process model — a formal representation of the steps, decision points, roles, and data flows in an operational process. The model serves three purposes: (1) it documents how the process works for training, audit, and examination purposes, (2) it provides the blueprint for automation, and (3) it establishes the baseline for measurement and improvement.
Process modeling notation. BPMN 2.0 is the industry standard for process modeling; model operational processes with tasks, decision gateways, start/intermediate/end events, and swim lanes per responsible role so that handoffs between operations, compliance, and external systems are explicit and visible.
Process decomposition. Complex operations workflows are decomposed into sub-processes. An account opening workflow decomposes into: data collection, KYC verification, document review, custodian submission, confirmation processing, and account activation. Each sub-process can be modeled, automated, and measured independently while the parent process orchestrates the sequence.
State machines for financial workflows. Many operations items are best modeled as state machines — an item exists in one of several defined states, and transitions between states are triggered by events or actions. A transfer request might have states: Initiated, Validated, Submitted to ACATS, In Progress, Completed, Rejected, Cancelled. Each transition has a guard condition (e.g., the transition from Validated to Submitted requires all validation checks to pass) and an action (e.g., send ACATS message). State machines enforce that items follow valid paths and prevent invalid transitions (an item cannot move from Initiated to Completed without passing through Validated and Submitted).
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.
- 11d ago First seen · 204 lines · 143 tokens per session scan A fa201d7133ce
workflow-automation is a skill published in the GitHub repository JoelLewis/finance_skills (184 stars, last pushed 1mo ago), licensed MIT. It adds 143 tokens to every session and 5,572 once invoked, about $0.0007 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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