Gatemole compiles human-owned intent into obligations, links evidence artifacts to those obligations, and produces deterministic release decisions for agent-written changes.
Security & release-gate baseline for code, containers, CI, and infrastructure — Semgrep, OPA/Rego, SBOMs, reusable GitHub Actions.
🚪 Governance gate for AI agents. Enforce policies before deployment: request contracts, operational safeguards, identity boundaries, action budgets. CLI tool with YAML config, JSON/text output, CI/CD integration.
Risk-based release gate for CRA (Article 14), NIS2 and DORA compliance with SBOM, KEV correlation, and auditable evidence.
Turns SigNoz traces into deterministic release contracts that catch skipped checks, duplicate side effects, unknown tool paths, and behavioural drift before an AI-agent canary reaches production.
Production-grade LLM evaluation control plane with FastAPI, PostgreSQL, release gates, worker recovery, and a privacy-bounded React dashboard.
ML release-gate checks for drift, performance regression, latency, and JSON/Markdown deployment reports.
The ArmorCode Release Gate plugin for Jenkins enforces security policies by blocking or warning CI/CD builds based on validation results.
Legal AI product-boundary evaluation and data governance system for model routing, RAG reliability, human review, release gates, and data asset routing.
Governance-first AI-Agent SDLC boilerplate for building review-ready agent projects with scope, guardrails, approval gates, evals, audit evidence, and local ZIP export.
Repo intelligence engine for readiness scoring, release gates, and AI-context exports.
Requirements-driven AI QA governance framework with traceability, audit reporting, and release gates.
Draft signed evidence object and reference verifier for agentic AI release assurance.
Document intelligence eval workspace with retrieval, citations, release gates, report artifacts, and a live static dashboard.
Reliability and evaluation harness for financial agent workflows: agent harness + evaluation harness, release gates, evidence packs, DSPy programs vs typed tool-use (Jev). Reference prototype, synthetic and public benchmark data.
Public Hugging Face card templates for model, dataset, report, and Space release-readiness without release claims.
Deterministic proof gates and a raw-byte write firewall for AI agents — CLI, MCP, in-toto receipts, Codex CLI and Mistral Vibe.
Reusable AI documentation skills with deterministic builds, verification gates, and reproducible release artifacts.
Codex-native audit-lite and audit-full skills with evidence-first review workflows
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