pre mortem
Run disciplined pre-mortems that replace generic risk lists with project-specific failure modes and binding decisions.
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THE AGENSI STORE
25 skills found
Run disciplined pre-mortems that replace generic risk lists with project-specific failure modes and binding decisions.
A modular governance framework for AI policy, agent risk assessment, human-in-the-loop approvals, and audit trails.
Transform prospect intake notes into structured commercial scope briefs, deliverables lists, and risk assessments.
Professional-grade legal contract analysis with automated redlining and playbook-aligned risk assessment.
Automated security auditing and risk assessment for Model Context Protocol (MCP) servers.
Automated open-source license audit and risk assessment based on your project's specific distribution model.
Turn brief prompts into professional, multi-source research reports with verified citations and risk assessments.
Generate audit-ready privacy impact assessments, risk registers, and data flow maps for regulatory compliance.
Professional drafting and review of cyber security risk reports, mapping evidence to compliance frameworks.
Transform raw security evidence into professional Cyber Healthcheck reports, RAG scorecards, and remediation roadmaps.
Legal contract review and risk assessment. 6-type routing, 3D risk scoring, trap identification, amendment drafting.
Rapid legal screening and risk assessment for NDAs with traffic-light scoring and counter-proposals.
Find where knowledge is dangerously concentrated in a codebase. From your git history it flags the files only one person has ever touched, the high-churn files with a single owner, authors who own too much of the codebase, and the repo's overall truck factor. The catchy question with a real answer: what breaks if a key person leaves.
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.
Scans any contract for risky clauses, missing protections, unfair terms, and red flags — with plain-English explanations, severity ratings, and suggested negotiation language.
Reviews contracts and NDAs from your side of the deal — ranked risks, plain-English clauses, and copy-paste redlines.
A forensic diagnostic tool to expose hidden risks and structural flaws in business and technical commitments.
Critical stress-testing for technical plans to identify execution gaps, hidden dependencies, and rollout risks.
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.
Check a brand deal or sponsorship contract for the clauses that quietly cost creators: perpetual usage rights, broad exclusivity, free whitelisting, IP assignment, slow pay with no kill fee, unlimited revisions, and vague morals clauses. Plain-English findings. Not legal advice.
Stop agents from wasting hours on fake, saturated, prohibited, unsafe, or unverifiable paid work.
Public-source due diligence and risk assessment for companies, vendors, and business counterparties — every finding labeled verified, reported, or unverified.Automated OSINT due diligence and risk assessment for companies, vendors, and business counterparties.
Automates CCPA ADMT scoping and generates regulatory risk assessments for AI deployments.
Turns model test results, prompts, outputs, benchmarks, scoring notes, evaluation datasets, failure examples, comparison results, and reviewer observations into clear model evaluation reports with findings, recommendations, evidence gaps, deployment considerations, and repeatable evaluation documentation for AI teams.