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 sales-practicesgit 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/sales-practices)<a href="https://agentmods.dev/skills/joellewis/finance_skills/sales-practices"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/sales-practices/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/sales-practices"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/sales-practices.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 | $0.00144 | $0.05094 |
| Opus 5 | $0.00072 | $0.02547 |
| Sonnet 5 | $0.00029 | $0.01019 |
| Haiku 4.5 | $0.00014 | $0.00509 |
Grade A, and why
sales-practices 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Practices
Regulatory status current as of June 2026 — verify effective dates, dollar thresholds, and pending rulemakings against current SEC/FINRA/FinCEN sources before advising.
Core Concepts
FINRA Rule 2010 — Standards of Commercial Honor
FINRA Rule 2010 is the catch-all ethical standard for all member firms and associated persons. It requires adherence to "high standards of commercial honor and just and equitable principles of trade." This rule is intentionally broad and serves as the basis for disciplinary action even when no other specific rule is violated. Conduct that is unethical, dishonest, or in bad faith — even if technically legal — can be sanctioned under Rule 2010. FINRA enforcement frequently pairs Rule 2010 with more specific rule violations as a supplementary charge. Examples of standalone Rule 2010 violations include forgery, misrepresentation of credentials, conversion of client funds, and failure to disclose material information.
FINRA Rule 2020 — Use of Manipulative, Deceptive, or Other Fraudulent Devices
FINRA Rule 2020 prohibits any member or associated person from effecting any transaction in, or inducing the purchase or sale of, any security by means of any manipulative, deceptive, or other fraudulent device or contrivance. This rule mirrors the antifraud provisions of Section 10(b) of the Securities Exchange Act of 1934 and SEC Rule 10b-5. It covers a broad range of manipulative schemes including pump-and-dump, marking the close, wash trading, matched orders, and any scheme to defraud customers or the market.
Churning and Excessive Trading
Churning occurs when a broker engages in excessive trading to generate commissions rather than to benefit the customer. Two distinct legal frameworks apply, and they have different elements:
- Fraud-based churning (Section 10(b)/Rule 10b-5, Section 15(c)): Requires proof of (1) control — de facto or de jure control over trading decisions (de facto control exists when the customer routinely follows the broker's recommendations without independent judgment); (2) excessive activity inconsistent with the customer's objectives; and (3) scienter — intent to defraud or reckless disregard for the customer's interests.
- Rule-based excessive trading (FINRA Rule 2111.05(c) quantitative suitability; Reg BI Care Obligation for retail customers): Since FINRA's 2020 amendments (Regulatory Notice 20-18, effective June 30, 2020), the control element has been removed — a broker who recommends a series of transactions must have a reasonable basis to believe the series is not excessive in light of the customer's investment profile, regardless of whether the broker controls the account. No scienter is required.
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 · 174 lines · 144 tokens per session scan A 1efade82496c
sales-practices is a skill published in the GitHub repository JoelLewis/finance_skills (184 stars, last pushed 1mo ago), licensed MIT. It adds 144 tokens to every session and 5,094 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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