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 account-transfersgit 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/account-transfers)<a href="https://agentmods.dev/skills/joellewis/finance_skills/account-transfers"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/account-transfers/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/account-transfers"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/account-transfers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 98 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
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 | $0.00118 | $0.07491 |
| Opus 5 | $0.00059 | $0.03746 |
| Sonnet 5 | $0.00024 | $0.01498 |
| Haiku 4.5 | $0.00012 | $0.00749 |
Grade A, and why
account-transfers 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 13d 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Account Transfers
Core Concepts
ACAT Transfer System
The Automated Customer Account Transfer Service (ACATS) is operated by DTCC's National Securities Clearing Corporation (NSCC) and provides a standardized, automated mechanism for transferring customer accounts between broker-dealers and banks. ACATS is the primary system for transferring brokerage accounts in the United States and is governed by FINRA Rule 11870 (Customer Account Transfer Contracts).
How ACATS works — the transfer lifecycle:
- Transfer Initiation (Day 0) — The customer signs a Transfer Initiation Form (TIF) authorizing the transfer. The receiving firm submits the transfer request through ACATS, specifying whether the transfer is full or partial and listing the assets to be transferred.
- Validation (Days 1-3) — The delivering firm receives the transfer request and has 3 business days to validate the account information and asset positions. The delivering firm must verify the customer's identity, account number, SSN/TIN, and the assets listed in the request. If the information matches, the delivering firm validates the request. If there are discrepancies, the delivering firm may reject the request with a specific reject code.
- Asset Transfer (Days 4-6) — Once validated, the delivering firm must transfer the account assets within 3 business days (6 business days total from initiation). ACATS coordinates the settlement of securities between the firms through NSCC. Cash balances are transferred via the Federal Reserve wire system or NSCC settlement.
- Residual Processing (Days 7+) — After the primary transfer completes, the delivering firm processes residual items: dividends or interest that were accrued but not yet paid, fractional shares (typically liquidated and sent as a residual credit), reorganization proceeds, and any other items that could not be transferred on the primary settlement date.
Full ACAT vs partial ACAT:
- A full ACAT transfers the entire account — all positions, cash, and account features. The delivering firm closes the account after transfer completion. Full ACATs are the most common transfer type and benefit from the highest degree of automation.
- A partial ACAT transfers only specified positions and/or cash amounts. The account remains open at the delivering firm with the remaining positions. Partial ACATs require the receiving firm to specify exactly which positions and quantities to transfer. Partial ACATs are used when a client wants to consolidate specific holdings, when certain assets are ineligible for ACAT transfer, or when the client is maintaining accounts at both firms.
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.
- 13d ago First seen · 245 lines · 118 tokens per session scan A 17a7d6e3b2f3
account-transfers is a skill published in the GitHub repository JoelLewis/finance_skills (184 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 7,491 once invoked, about $0.0006 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.
Other skills, from other repositories
stock-liquidity
Analyze stock liquidity using bid-ask spreads, volume profiles, order book depth, market impact estimates, and turnover ratios via Yahoo Finance data. Use this skill whenever the user asks about liquidity, trading costs, bid-ask spread, market depth, volume analysis, slippage, market impact, turnover ratio, or how…
fintel-data
Query Fintel (fintel.io) institutional market intelligence via the REST API at https://api.fintel.io/v1 with FINTELAPIKEY (X-API-KEY header), or the official MCP server at https://mcp.fintel.io/mcp. Read-only data: short interest, borrow rate/fee and shares available to borrow, daily short volume, fails-to-deliver…
estimate-analysis
Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data. Use when the user wants to understand analyst estimate direction, how EPS or revenue forecasts changed over time, compare estimate distributions, or analyze growth projections across periods. Triggers: "estimate analysis for…
earnings-preview
Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview…
earnings-recap
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat…
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…