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 client-onboardinggit 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/client-onboarding)<a href="https://agentmods.dev/skills/joellewis/finance_skills/client-onboarding"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/client-onboarding/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/client-onboarding"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/client-onboarding.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 | $0.00131 | $0.06024 |
| Opus 5 | $0.00066 | $0.03012 |
| Sonnet 5 | $0.00026 | $0.01205 |
| Haiku 4.5 | $0.00013 | $0.00602 |
Grade A, and why
client-onboarding 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 10d 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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Client Onboarding
Core Concepts
Onboarding Workflow Architecture
Client onboarding is an orchestrated, multi-stage process that transforms a prospect into a funded, investable account. The canonical stages are:
- Prospect intake — capture contact information, establish CRM record, assign advisor
- Identity verification — CIP/KYC checks (name, DOB, address, SSN/TIN, government ID)
- Suitability data collection — investment objectives, risk tolerance, time horizon, financial situation
- Account type selection — individual, joint, trust, IRA, entity, or other structure
- Document generation — assemble the required document package based on account type and features
- E-signature — execute new account forms, agreements, and disclosures electronically
- Custodian submission — transmit the completed application to the custodian for account creation
- Funding — ACH, wire, ACAT transfer, or check deposit to fund the new account
- Initial investment — assign the funded account to a model portfolio or execute the initial trade
The two primary flow models are advisor-assisted and self-service (digital-direct). In advisor-assisted onboarding, the advisor guides the client through each step, often in a meeting or screen-share, with the onboarding platform pre-populating data from the CRM. In self-service onboarding, the client completes a guided digital workflow independently, with the advisor reviewing and approving the completed application. Most firms support a hybrid model where self-service handles simple account types and advisor-assisted handles complex ones.
The onboarding platform acts as an orchestrator across multiple downstream systems: CRM (client master), KYC/AML vendor (identity verification), custodian (account opening API), document management (storage and retrieval), and portfolio management system (model assignment). The platform must manage state transitions, handle errors at each stage, and provide visibility to both the advisor and compliance.
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.
- 10d ago First seen · 323 lines · 131 tokens per session scan A 6e576a7c8458
client-onboarding is a skill published in the GitHub repository JoelLewis/finance_skills (184 stars, last pushed 1mo ago), licensed MIT. It adds 131 tokens to every session and 6,024 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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