DSG Spacetime production MCP client: governed plan, discover, owner approval, execute, verify evidence. Uses the existing https://aws.dsg.pics/mcp backend; does not deploy another control plane.
12 on GitHubby DSG ONE / ProofGatev1.1.0MITupdated 8 days agogovernance
Execute user goals through the existing DSG Spacetime production MCP connection. Use for plan alignment, governance gates, owner approvals, provider execution, and signed evidence verification.
dsg-github-marketplace-action-controller
Package and validate a GitHub Action client that invokes real DSG Spacetime MCP-governed routes. Use for publishing action wrappers only when live tool contracts and permission boundaries are verified.
dsg-multi-governance-orchestrator
Coordinate multi-source DSG agent workflows using the existing Spacetime production MCP connection, real approvals, execution receipts, and independently verified audit evidence.
Deterministic QUBO/Ising policy-optimization and Z3/SMT-style formal constraint verification, bundled locally from the tdealer01-crypto/Compliance-ising-z3-Deterministic- engine. Includes a z3-compliance-review skill, a compliance-agent subagent, and reference build/test scripts. Constraint checks are Z3/SMT-style in native Kotlin (no external Z3 process).
Slash commands that wrap the repo verification ladder: typecheck, targeted route verification, and a pre-PR check. Commands reference only npm scripts that exist in package.json.
Enforces the repo truth boundary and claim policy. Helps classify statements as verified fact / inference / pending / blocked / not verified, and warns about forbidden readiness claims. Ships an advisory PostToolUse hook.
Governance-aware code review for the DSG Control Plane. Reviews changes against the repo's API route conventions, security conventions, truth boundary, runtime spine flow, deterministic gate boundary (UNSUPPORTED is never PASS), and Supabase/RLS rules. Includes a security-reviewer subagent.
Generates a PR body that matches the repo's mandatory format (Goal / Files changed / Verification / Known limits / User-visible benefit / Next step), with honest 'Not run' handling for unrun checks.
Deep vulnerability scanning of your own code, run entirely inside your Claude Code session at a chosen effort tier, with every finding challenged before it is reported and the verification tally computed in code. Turns surviving findings into targeted patches, each verified by a panel of agents, that you apply when you choose.
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
ifixai-ai/iFixAi 45,158
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