By anotb
Financial crime governance skills for CDD, SAR decision QA, AML monitoring model governance, sanctions screening QA, EDD escalation, and negative-news triage.
Drafts an enhanced due diligence escalation pack for a higher-risk customer profile (PEP, private banking, foreign correspondent, cash-intensive business, complex ownership, MSB-affiliated, sanctions-adjacent, high-risk jurisdiction nexus, or event-driven trigger). The pack assembles beneficial-ownership chain, derogatory information, source of wealth and source of funds, customer rationale, expected versus actual activity, sanctions-screening posture, conduct-risk indicators, ongoing-monitoring plan, and decision options for the EDD committee. Produces a review artifact only; the EDD committee or designated approver makes the relationship decision. Best for: - A baseline CDD review has flagged EDD escalation and the next artifact is the pack the EDD committee will review. - Periodic refresh on an existing high-risk customer where ownership, activity, derogatory information, or jurisdictional posture may have shifted. - Event-driven refresh triggered by adverse media, sanctions exposure, ownership change, or a regulatory inquiry. - The pack-of-record basis for a relationship-exit deliberation. Not the right tool when: - Baseline CDD has not run; use `cdd-risk-review` first. - The work is alert disposition or SAR decision QA; use `sar-decision-qa`. - The work is a single adverse-media hit triage with no broader EDD context; use `negative-news-triage`. - The work is sanctions-match disposition; use `sanctions-screening-qa`. - The decision being asked for is the final retention, restriction, or exit decision. The skill produces review artifacts; the EDD committee or designated approver decides.
Triages an adverse-media or negative-news hit set against a specific customer or entity for identity confidence, source reliability, recency, materiality to financial-crime risk, and downstream routing. Produces a triage memo and a structured triage record that downstream artifacts (cdd-risk-review refresh, edd-escalation-pack, sar-decision-qa, sanctions-screening-qa) can consume. Does not change customer ratings, file SARs, exit relationships, or re-tune monitoring scenarios. Best for: - Adverse-media hit triage at onboarding, periodic refresh, or event-driven refresh on a named customer. - Bulk triage over a periodic adverse-media re-scan output where the volume is dominated by common-name false matches. - Pre-EDD triage feeding into an EDD escalation pack. - Pre-SAR-decision triage where adverse media is part of an alert's evidence basis. Not the right tool when: - The work is sanctions-screening match disposition rather than adverse media; use `sanctions-screening-qa`. - The hit is already triaged and the next artifact is the EDD pack or the SAR-decision QA; use `edd-escalation-pack` or `sar-decision-qa`. - The work is media-monitoring program design or vendor evaluation; use `vendor-diligence` (in `third-party-operational-resilience`) for the vendor work. - The decision being asked for is a final risk-rating change, an EDD escalation, an exit, or a SAR filing. The skill produces triage artifacts; humans decide.
Quality-reviews a sanctions screening program against named regulatory frames: list-management governance, customer and transaction screening configuration, match-logic and fuzzy-threshold tuning, list-update timeliness, alert disposition documentation, false-positive rationale, escalation paths, 50 Percent Rule and sectoral-sanctions handling, and cyber-evasion exposure. Reads each sampled alert disposition for documented rationale, decision-maker independence, and 50%-rule assessment; produces a second-line QA memo with material findings, evidence-needed items, and recommended decision checkpoints with named owners. Does not approve list configuration, tune match logic, file blocking or rejection reports, close alerts, or make match-or-no-match decisions. Best for: - Periodic sample QA over customer-screening and transaction-screening alert dispositions within a defined review window. - Pre-validation review of screening configuration evidence to scope the next validation cycle. - Pre-exam readiness review of sanctions program documentation against the OFAC Framework five components and the FFIEC OFAC section. - Targeted review after a list-update event (new SDN designations, new sectoral programs, FSE designation changes, virtual-currency-adjacent designations). - Targeted review of sanctions-evasion exposure via cyber and tech (virtual currency, ransomware, mixers, identity manipulation). Not the right tool when: - The work is a sanctions program risk assessment as a whole (this skill reviews QA evidence; the program risk assessment is a different artifact). - The work is AML transaction-monitoring review (use `aml-model-monitoring`; sanctions is real-time list-match, not behavioral). - The work is screening-engine model validation, threshold calibration, or BTL testing (use `aml-model-monitoring`; this skill cross-references but does not redo). - The work is customer beneficial-ownership documentation (use `cdd-risk-review`; the screening QA cross-references for 50 Percent Rule aggregation reads). - The decision being asked for is whether to release, block, reject, or report a transaction or relationship. The skill produces QA artifacts; the sanctions officer (and the firm's escalation chain) decides.
Quality-reviews a SAR or no-SAR decision file against named SAR rules and the FFIEC SAR examination expectations. Reads the alert chronology, investigation steps, evidence considered, disposition, decision rationale, continuing-activity posture, and confidentiality controls; produces a QA memo with material gaps, reviewer findings, and a routing recommendation to the named decision forum. Does not file, decline to file, amend, or close any SAR; SAR filing is a regulated act reserved to the BSA officer or designee. Best for: - Second-line QA over a sample of closed alerts (filed and unfiled) within a defined lookback window. - Targeted review of high-risk alert types (structuring, trade-based, layering, sanctions-adjacent, fraud typology, cyber-event-related). - Review of continuing-activity posture against the firm's documented SAR program (the 90-day continuing-SAR cadence the industry uses is firm policy, not a BSA-rule requirement; the QA reads adherence to the program the firm has, not a uniform external standard). - Pre-exam readiness review of SAR decision documentation against the FFIEC SAR section. Not the right tool when: - The work is alert-generation governance (transaction-monitoring scenario tuning, segmentation, threshold changes); use aml-model-monitoring. - The work is the underlying CDD or EDD posture of the customer rather than the alert decision; use cdd-risk-review or edd-escalation-pack. - The work is a single adverse-media triage rather than a SAR decision; use negative-news-triage. - The decision being asked for is whether to file, amend, or supplement a SAR. The skill produces QA artifacts; the BSA officer decides.
Reviews ongoing-monitoring evidence for an AML transaction-monitoring system, scoping which components of the stack sit inside the model-risk perimeter under the joint interagency model-risk supervisory guidance and which are deterministic rules outside it. Reads data quality, customer segmentation drift, scenario inventory and tuning evidence, below-the-line testing, alert volume and productivity trends, threshold-change governance, and validation evidence; produces a second-line monitoring memo that opens with a model-scoping read and a program-level review, carries the monitoring evidence in named structured sections, and closes with material findings, evidence-needed items, and recommended decision checkpoints with named owners. Does not approve scenario changes, set thresholds, sign off on validation conclusions, or QA individual SAR decisions. Best for: - Annual or quarterly second-line monitoring memo on a production AML transaction-monitoring system. - Pre-validation review scoping what the next validation cycle should cover. - Post-tuning review of a scenario or threshold change and the evidence chain supporting it. - Pre-exam-readiness review of monitoring documentation for the BSA/AML examination. Not the right tool when: - The work is the validation cycle itself; use `validation-plan` in `ai-governance-model-risk`. - The system is being intaked, tiered, or papered as a model card for the first time; use `ai-use-case-intake`, `ai-risk-tiering`, and `model-card-builder` in `ai-governance-model-risk`. - The work is QA over individual SAR decisions downstream of the alerts; use `sar-decision-qa`. - The work is sanctions-screening monitoring; use `sanctions-screening-qa`. - The decision being asked for is approval of a scenario change, a threshold change, or a validation conclusion. The skill produces review artifacts; humans decide.
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Plugins for second-line and 1.5-line financial-services work. Skills cover what risk and compliance teams (and the advisory practitioners who support them) actually produce: scoping a review, mapping obligations, building a control matrix, drafting a model card, writing up an issue, building a vendor-diligence pack, packaging a risk-committee read, working a SAR / no-SAR file, prepping for a supervisory cycle, and so on. Skills are grounded in regulatory and standards material, with sector context (banking, capital markets, insurance, payments / fintech) loaded conditionally from the scoping record.
Built primarily for Claude (and Claude Code), but the skill files follow the open SKILL.md format and can be loaded into other agentic systems that support it: GPT, Gemini, in-house open-weights deployments, or anything else that reads agent skills. The skills are markdown plus optional schemas; the format is the standard, the work product is what travels.
The repo extends Anthropic's published financial-services plugin family. Where Anthropic's plugins cover the cross-industry first-line baseline (financial analysis, banking deal work, equity research, PE, wealth, fund admin, ops), these go deeper into US second-line and 1.5-line work and US supervisory expectations.
Second-line and 1.5-line practitioners inside regulated firms: model-risk leads (MRMO), AI governance leads, third-party risk managers (TPRM), BSA / AML officers, sanctions officers, compliance heads (CCO), fair-lending and UDAAP review teams, controls testing and internal audit teams, risk reporting and CRO-office teams, regulatory-affairs and regulatory-change teams, operational-resilience leads, fund-board secretaries, disclosure committees.
And the advisory and consulting teams running the same work for those firms.
If you work in 1.5L, 2L, or adjacent functions, the skills let Claude (or other agentic systems supporting the SKILL.md format) draft alongside you, like a colleague who knows the work and defers to your judgement on the call.
references/sector-overlays/<sector>.md inside the relevant capability skill, loaded conditionally from the scoping record.references/source-anchors.md with the regulatory and standards citations they lean on. US-deep, with EU as overlay and UK as see-also.The skill set is public-source-derived and anonymous, with no firm-specific policy baked in.
Standalone agent plugins (one-shot reviewers that orchestrate related skills end-to-end) are not in this release. The next iteration adds a maker / checker loop with genuine context-isolated subagent forking, primary-plus-critic two-agent shape, and plugin dependencies in place of bundled-skill copies. See ROADMAP.md for the target shape.
| Plugin | What it covers |
|---|---|
risk-compliance-core | Scoping, obligation mapping, control matrices, evidence binders, issue write-ups, human-review gates, policy-gap reviews. |
regulatory-change-management | Regulatory impact assessment, rule-to-obligation extraction, policy diffs, implementation plans, exam briefs. |
ai-governance-model-risk | AI use-case intake, AI risk tiering, EU AI Act triage, model cards, validation plans, agentic-AI controls, board AI-risk pack, GenAI deep-dive (prompt injection, RAG eval, pre-prod review, LLM vendor evidence). |
third-party-operational-resilience | Vendor diligence, criticality, contract-gap review, exit plans, concentration, DORA register, severe-but-plausible resilience testing. |
compliance-testing | Test plans, control sampling, evidence requests, exception analysis, workpapers, QA review. |
risk-reporting | Risk committee packs, BCBS 239 self-assessment, KRI commentary, SEC cyber-disclosure readiness, attestation packs, management responses to MRA / MRIA / audit findings. |
financial-crime-governance | CDD review, EDD escalation packs, SAR-decision QA, AML model monitoring, sanctions-screening QA, negative-news triage. |
consumer-compliance-fair-lending | Adverse-action review, fair-lending test plans, UDAAP risk review, Section 1071 readiness, complaint-theme analysis, marketing-claim review. |
npx claudepluginhub anotb/second-line-financial-services --plugin financial-crime-governanceAnalyze RFPs, develop proposals, apply strategic frameworks, and build implementation plans. Create executive deliverables for strategy, operations, and transformation engagements.
Regulatory change management skills for impact assessment, obligation extraction, policy diffing, implementation planning, and exam brief preparation.
AI governance and model risk skills for AI intake, risk tiering, model cards, validation planning, agentic controls, EU AI Act triage, AI vendor review, and board risk packs.
Third-party risk and operational resilience skills for vendor diligence, criticality assessment, DORA registers, contract gaps, exit plans, resilience testing, and concentration risk.
Core GRC workflow skills for obligation mapping, control matrices, evidence binders, issue write-ups, human-review gates, and policy gap reviews.
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