Agent Verifier is a coding agent skill that verifies code against organizational policies, code quality patterns, security requirements, and framework best practices — before code ships. Works with Claude Code, Cursor, Windsurf, and 30+ agents.

The open-source MultiAgentOps evaluation and verification harness for any industry business workflow.

Agent Network System (ANS): A Foundational Hybrid Architecture for Secure AI Agent Ecosystems

The open root-of-trust for agent identity on the internet. A public, federated registry of trusted attestation issuers — the agent runtimes authorized to vouch for agents acting on behalf of humans. Services verify agent attestations against this registry to determine if the issuing runtime is legitimate.

Action-bound proof challenges for verifying fresh autonomous AI-agent work.

The AI-to-AI Protocol Layer that catches unreliable agent outputs before they cost you money. Claim-level verification, escrow, and slashing. 224 tests, 12/12 adversarial patterns caught.

LLM-capability CAPTCHA and obfuscated verification challenges for Python applications.

Tamper-evident proof for AI agent work. Records, verifies, and reports whether agents followed policy.

Verifiable agent identity for A2A and MCP. Cryptographic claims, append-only transparency log, recovery-key revocation. Apache 2.0.

Agent Verification Protocol - Reverse CAPTCHA for AI agents

airlock is a cryptographic handshake protocol for verifying AI model identity at runtime. It enables real-time attestation of model provenance, environment integrity, and agent authenticity - without relying on vendor trust or static manifests.

Claude Code skill that verifies Claude's own work against the user's request before reporting done. Closes the loop with a fresh-context critic + acceptance contract + 3-iteration fix loop.

This plugin solves the "trust and accountability" gap for autonomous agents by assigning them explicit identities, bound by verifiable boundaries, and capable of cryptographically signing their actions.

Claude Code skill: vision-LLM audit of rendered .docx/.pptx/.pdf pages. Catches formatting drift, typography mixing, SmartArt overflow, placeholder text, broken cross-refs — what Claude can't see when it only reads the source.

An executive-grade verification workbench for natural-language BigQuery analytics over a simple retail transaction dataset.

MCP server issuing HMAC-attested receipts for AI agent tool-call evidence (verify_action_receipt.v0 reference impl)