DTMC-marketplace
Official@dtmc-marketplace
Enterprise-grade compliance, safety, and performance evaluation framework for regulated machine learning systems and large language model deployments.
Agent Skills by DTMC-marketplace
Showing 118 vetted skills indexed across 1 GitHub repositories.
DTMC-marketplacepromptfoo
Tests and evaluates LLM prompts across multiple models for regressions and performance.
DTMC-marketplacece-marking-generator
Generate CE marking conformity declarations and technical documentation for AI systems under Article 48.
DTMC-marketplacevader-sentiment
Analyze sentiment in social media text using the VADER lexicon.
DTMC-marketplacedeployer-training
Scan codebases with Gemini AI to generate Markdown training documentation.
DTMC-marketplacefria-assessment
Conduct Fundamental Rights Impact Assessments for high-risk AI systems under EU AI Act Article 27.
DTMC-marketplaceai-performance-testing
Automate AI system performance evaluation with Deepeval and generate markdown reports.
DTMC-marketplacegdpr-compliance
Plan GDPR compliance with C# patterns for consent and data subject requests.
DTMC-marketplaceai-transparency-labels
Generate standardized transparency labels documenting AI system capabilities, limitations, training data, and intended use.
DTMC-marketplacegrype-vulnerability
Scan container images and filesystems for known CVEs using Grype.
DTMC-marketplacelangsmith
Monitor, debug, and evaluate LLM applications and chains on a DevOps platform.
DTMC-marketplaceai-content-detector
Detect AI-generated text, images, and media for EU AI Act compliance.
DTMC-marketplacered-team-testing
Probe AI model boundaries and test guardrails against adversarial attack scenarios.
DTMC-marketplaceclaimbuster-api
Score sentences for check-worthiness and identify factual claims via ClaimBuster API.
DTMC-marketplacetoxicity-detection
Detect and filter toxic content in AI inputs and outputs.
DTMC-marketplaceoss-scorecard-assessment
Assess open-source software security using OpenSSF Scorecard metrics.
DTMC-marketplacemultilingual-localization
Translate documents into EU languages using Gemini models with fallback.
DTMC-marketplacecontent-toxicity-analysis
Analyze text content for harassment, threats, and harmful stereotypes with severity scoring.
DTMC-marketplaceevidently-ai
Monitor ML models in production for data drift and performance degradation.
DTMC-marketplacepython-dependency-safety
Scan Python pip packages against vulnerability databases for security issues.
DTMC-marketplacesafety-pyup
Scan Python project dependencies for known security vulnerabilities using Safety and PyUp.
DTMC-marketplaceprompt-injection-detector
Detect and prevent prompt injection attacks by analyzing input patterns.
DTMC-marketplacerag-architecture
Design RAG pipelines with document chunking, embedding, and retrieval strategies.
DTMC-marketplacesnyk-security-assessment
Assess code and infrastructure security using Snyk tools.
DTMC-marketplaceai-alignment-framework
Align AI systems with human values and organizational goals via compliance assessment.
Frequently Asked Questions About DTMC-marketplace
FAQPage SchemaWhat specific regulatory frameworks are supported by these capabilities?▼
The registry provides comprehensive support for EU AI Act compliance, including Articles 9, 10, 17, 23, 24, 26, 27, 40, 47, 72, and 73. Additionally, it includes modules for HIPAA, PCI DSS, ISO 27001, SOC 2, and NIST CSF 2.0 alignment.
Which personas benefit most from these technical resources?▼
Compliance officers, ML engineers, and security architects utilize these resources to bridge the gap between technical model development and legal regulatory requirements. The registry is designed for teams managing high-risk systems requiring rigorous documentation, safety guardrails, and continuous performance monitoring.
How are these compliance and testing modules integrated into existing environments?▼
Modules are deployed via configuration-driven patterns, including TOML-based command definitions and structured JSON inputs. Users integrate these through standard CI/CD pipelines, utilizing CLI-based scanning for dependencies, container images, and model performance metrics to generate automated compliance reports.