claude

sentinel-stack

AI governance toolkit — DLP scanning, data guardrails, risk register, compliance evidence, audit trail, and EU AI Act classification embedded in your workflow.

3 on GitHubby Aaditya Parabv1.1.0MITupdated 3 months agogovernance
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Plugin sentinel-stack from marketplace sentinel-stack in Authlyxio/sentinel-stack. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (12)

  • ai-governance

    AI risk classification and governance skill. Classifies AI use cases by EU AI Act risk tier (Unacceptable/High/Limited/Minimal), enforces organizational AI acceptable use policies, determines transparency and human oversight requirements, tracks data lineage for AI-assisted outputs, and generates co

  • audit-trail

    Compliance audit log generator. Creates structured, immutable audit records (JSON-lines format) for guardrail decisions, DLP scans, 4-eyes review workflows, and AI-assisted outputs in regulated categories. Designed for SIEM and GRC platform ingestion with built-in retention governance per GDPR, SOC

  • caveman

    Token-efficient communication mode. Compresses conversational prose (~65-75% output token savings) while keeping code, commands, and compliance artifacts untouched at full fidelity. Use when the user asks for "caveman mode", "brief mode", "less tokens", or when long sessions risk context pressure. A

  • compliance-evidence

    Compliance artifact generator. Auto-generates audit evidence from guardrail detections, 4-eyes review gates, and DLP scans. Maps control evidence to SOC 2 Type II, ISO 27001, NIST CSF, and GDPR Article 30. Generates evidence packages on demand for auditors and tracks control effectiveness over time.

  • decision-audit

    Governance decision validation skill. Reviews decisions for logical consistency, evidence quality, bias indicators, and completeness. Checks that decisions reference appropriate policies and have proper authorization. Outputs audit findings with severity ratings. Use for quality assurance of governa

  • dlp-engine

    3-tier DLP (Data Loss Prevention) scoring engine that combines pattern scanning, industry classifiers, and behavioral baselines into a unified sensitivity score. Use this skill when you need to classify content sensitivity, determine whether to allow/log/alert/redact/block a request, or when buildin

  • first-principles

    Structured problem decomposition tool. Breaks complex governance questions into fundamental components. Uses Socratic method to challenge assumptions. Outputs structured analysis with assumptions, evidence, and conclusions. Useful for novel governance scenarios without precedent. Use when facing nov

  • guardrails

    Data governance and compliance guardrail. Triggers automatically on ANY interaction involving client data (fund names, portfolio company data, customer-identifiable information, valuation figures), personal data of real individuals (names, emails, employment records, compensation details), financial

  • policy-drafter

    AI policy template generator. Drafts acceptable use policies, data handling policies, AI ethics policies, vendor AI assessment policies. Uses org-config.yaml for company details and compliance frameworks. Outputs markdown or docx-ready format. Includes version control metadata. Use when building or

  • risk-register

    Living risk register manager. Auto-populates and maintains a risk register from guardrail detections (DLP, 4-eyes, behavioral anomalies). Scores risks on a 5x5 likelihood-impact matrix, tracks treatment plans (accept/mitigate/transfer/avoid), generates leadership risk reports, and assesses drift aga

  • setup

    Configure Sentinel Stack for your organization. Walks through company name, industry, jurisdiction, compliance frameworks, AI risk appetite, and escalation contact. Re-runnable — shows current values so you only change what you need. Run this once after installing, then again whenever your governanc

  • vendor-ai-risk

    Third-party AI vendor risk assessment skill. Evaluates AI vendors and tools across five dimensions: security, privacy, AI-specific risks, contractual protections, and regulatory compliance. Outputs a vendor risk scorecard with a go/no-go recommendation. Two modes: quick triage (5-minute assessment)

View source on GitHub

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