truth first enterprise
Transform AI claims into verified, risk-assessed technical reports for production, DevOps, and enterprise governance.
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THE AGENSI STORE
37 skills found
Transform AI claims into verified, risk-assessed technical reports for production, DevOps, and enterprise governance.
Automated governance and risk audit for AI agent tool permissions and authentication boundaries.
A modular governance framework for AI policy, agent risk assessment, human-in-the-loop approvals, and audit trails.
Turn multi-agent intake into client-ready A2A readiness reports, task contracts, and orchestration topologies.
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
End-to-end management of authorized phishing simulations, from safe content design to executive reporting.
A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.
Design, govern, and report on enterprise-grade anti-phishing training programs and simulation metrics.
A structured governance auditor to optimize AI project instructions, clean up context, and manage workspace health.
An adversarial gate to verify AI-use disclosures and draft compliant provenance statements for any venue.
Automate EU AI Act transparency audits, Article 50 disclosures, and AI literacy documentation for your apps.
Generate structured, audit-ready evidence logs documenting human review of AI-assisted work products.
Inventory every LLM model and provider your code depends on, the AI bill of materials, and flag the dependency risk. It lists each provider, model, and where it's used, then flags hardcoded model ids, single-provider dependency with no alternative, the same model referenced by different ids, model ids with no config or env indirection, and providers pinned in your manifests. Recognizes OpenAI, Anthropic, Google Gemini, and more from an editable list.
Generate the model and vendor risk register a security lead asks for the morning after a model gets switched off. It scans your codebase for every model and provider, merges in the owner and data-residency notes you supply, and renders a register with provider, model, where it's used, fallback status, and an availability-risk rating per dependency. Markdown by default, CSV with a flag. Continuity-focused, not a compliance assessment.
Map the geometry of system failures to transform edge-case chaos into structured architectural governance.
A high-discipline decision-governance layer to prevent AI agents from acting on poor evidence or conflicting goals.
Transform business ideas into deployment-ready autonomous company blueprints for multi-agent frameworks.
Expose hidden trade-offs and architect feasible operating envelopes for systems under conflicting pressures.
Discovers and ranks internal enterprise processes that can become custom agent skills, with ROI estimates, governance needs, and pilot roadmaps.
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
Before you send proprietary or sensitive data to an AI vendor, assess the risk. Classifies what's actually your moat versus regulated, contractual, or harmless data, maps the real exposure vectors by vendor tier, lists the questions to get in writing, and gives a send / send-with-controls / keep-in-house recommendation per data type.
Draft the AI documentation the EU AI Act expects — model cards, AI-use disclosures, transparency notices, risk-tier worksheets, and technical-doc skeletons. Counsel-ready drafts from a regulated-industry documentation professional, with templates included.
Creates structured safety cases, risk arguments, controls evidence, assumptions, limitations, assurance claims, decision logs, review questions, and sign-off packs for AI-enabled products, systems, workflows, and features. Helps teams turn AI governance expectations into practical documentation rather than abstract policy language.
Audit agentic systems against runtime controls and generate compliance artifacts for ISO 42001 and NIST AI RMF.