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 post-trade-compliancegit 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/post-trade-compliance)<a href="https://agentmods.dev/skills/joellewis/finance_skills/post-trade-compliance"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/post-trade-compliance/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/post-trade-compliance"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/post-trade-compliance.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 | $0.00135 | $0.05717 |
| Opus 5.5 | $0.00054 | $0.02287 |
| Sonnet 5.5 | $0.00027 | $0.01143 |
| Haiku 4.5 | $0.00014 | $0.00572 |
Grade A, and why
post-trade-compliance 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post-Trade Compliance
Core Concepts
Trade Surveillance Framework
Trade surveillance is the systematic, ongoing monitoring of executed transactions to detect potential violations of securities laws, firm policies, and regulatory rules. A surveillance program operates across multiple time horizons:
- T+0 (same-day) monitoring — Real-time or end-of-day reviews targeting time-sensitive patterns such as front-running (trading ahead of a customer block order), late trading (mutual fund orders placed after the 4:00 p.m. ET NAV pricing cutoff), and marking the close (orders placed to influence the closing price). T+0 alerts require immediate investigation because the regulatory harm is ongoing or the evidence window is narrow.
- T+1 through T+3 monitoring — Next-day and settlement-window reviews for patterns that emerge across a short sequence of events: allocation fairness on block trades, partial fill distribution, and settlement failures. These alerts align with the trade settlement cycle and CAT error correction windows.
- T+N rolling-window monitoring — Longer-horizon reviews (weekly, monthly, quarterly) for patterns that only become visible over time: churning and excessive trading (turnover ratios measured over months), coordinated trading across accounts, systematic favoritism in allocations, and insider trading correlations (trading patterns around earnings announcements or M&A events). Rolling windows must be calibrated to the specific pattern — churning detection typically requires 3-12 months of data, while insider trading correlation windows may span 30-90 days around a material event.
Surveillance scope varies by firm type and business activity. A full-service broker-dealer conducting equities, fixed income, and derivatives trading must maintain surveillance across all asset classes. An RIA managing model portfolios may focus surveillance on allocation fairness, best execution, and personal trading. The surveillance program must cover both customer/client accounts and proprietary/firm accounts.
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 · 217 lines · 135 tokens per session scan A 024efac70e90
post-trade-compliance is a skill published in the GitHub repository JoelLewis/finance_skills (218 stars, last pushed 3mo ago), licensed MIT. It adds 135 tokens to every session and 5,717 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.
Other skills, from other repositories
kyc-escalation
Write an internal KYC/AML escalation memo: a factual time-stamped trigger description, customer-profile vs activity mismatch analysis, red-flag taxonomy mapping, outstanding information, and a recommendation with rationale. Use when asked to escalate a KYC alert, document an AML concern, write up unusual-activity…
sox-itgc
Expert SOX IT General Controls (ITGC) advisor for finance, internal audit and IT compliance teams. Covers the four ITGC domains external auditors test for SOX 404 — access to programs and data, program changes, computer operations, and program development — plus scoping in-scope systems from the financial statements…
controleur-fiscal
Inspecteur des finances publiques IA. Simule un contrôle fiscal DGFIP complet sur les comptes d'une entreprise française (SASU, EURL, SAS, SARL). Analyse le FEC, la liasse fiscale, les charges déduites, le compte courant d'associé, la TVA, l'IS selon 8 axes de vérification. Identifie les chefs de redressement…
fiscaliste
Fiscaliste IA pour la fiscalité personnelle des particuliers français : optimisation et déclaration de l'impôt sur le revenu, IFI, revenus du capital, revenus fonciers, equity salarial, crypto-actifs et PER. Couvre le calcul de l'IR (barème, quotient familial, décote, PAS, CEHR, revenus exceptionnels), la déclaration…
commissaire-aux-comptes
Commissaire aux comptes IA pour l'audit des comptes annuels d'entreprises françaises. Applique la démarche NEP en 7 phases : prise de connaissance, contrôle du FEC, vérification du bilan, du compte de résultat, de la balance, de la liasse fiscale, et contrôles transversaux. Émet une opinion motivée sur la fiabilité…
bankruptcy-monitor-qcc
A Chinese-language monitoring skill for warning about company bankruptcy and restructuring risks through Qichacha data. Qichacha is a Chinese business-information service; bankruptcy restructuring is a legal process for trying to reorganize a company's debts and operations.