Skillget

ar

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Gecti
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool provides a protocol and SDKs for generating cryptographically signed, tamper-evident audit trails for actions performed by AI agents. It is designed to help developers securely track and verify agent interactions.

Security Assessment
The overall risk is Low. The automated code scan reviewed 12 files and found no dangerous patterns, hardcoded secrets, or requests for excessive permissions. As an audit and proxy tool, it handles action data and uses cryptography, but it does not appear to execute arbitrary or hidden shell commands. The tool requires standard network capabilities to function as a proxy and interact with external APIs, but it does not access inherently sensitive local data like private keys beyond what is explicitly passed by the user for signing.

Quality Assessment
The project is actively maintained, with its last code push occurring today. It uses the permissive Apache-2.0 license, includes clear documentation, and runs continuous integration tests across Go, TypeScript, and Python. However, community adoption is currently very low, with only 5 GitHub stars. Because of this low visibility, the tool has not been widely battle-tested or vetted by a large audience.

Verdict
Use with caution. While the code is clean, safe, and actively maintained, its extremely low community visibility means it should be evaluated carefully before relying on it in production environments.
SUMMARY

Agent Receipts — cryptographically signed audit trails for AI agent actions. Protocol spec, SDKs (Go, TypeScript, Python), and MCP proxy.

README.md

Agent Receipts

Cryptographically signed audit trails for AI agent actions

Go Tests
TS Tests
Python Tests
License: Apache-2.0
Project site & docs agentreceipts.ai
API reference Go · TypeScript · Python
Blog Your AI Agent Just Sent an Email
Go sdk/go · mcp-proxy · dashboard
npm @agnt-rcpt/sdk-ts
PyPI agent-receipts

What is this?

Agent Receipts is an open protocol and set of SDKs for producing cryptographically signed, tamper-evident records of AI agent actions. Every action an agent takes -- API calls, tool use, data access -- gets a verifiable receipt that can be audited later.

How it works: Authorize → Act → Sign → Link → Audit

Project layout

Project Description
docs/adr/ Architecture Decision Records
spec/ Protocol specification, JSON schemas, governance
sdk/go/ Go SDK
sdk/ts/ TypeScript SDK
sdk/py/ Python SDK
mcp-proxy/ MCP proxy with receipt signing, policy engine, intent tracking
cross-sdk-tests/ Cross-language verification tests
dashboard Local web UI for browsing and verifying receipt databases
openclaw Agent Receipts plugin for OpenClaw

Quick start

Go

go get github.com/agent-receipts/ar/sdk/go

import receipt "github.com/agent-receipts/ar/sdk/go/receipt"

r, _ := receipt.New(receipt.WithAction("tool_call", payload))
signed, _ := r.Sign(privateKey)

TypeScript

npm install @agnt-rcpt/sdk-ts

import { Receipt } from "@agnt-rcpt/sdk-ts";

const receipt = await Receipt.create({ action: "tool_call", payload });
const signed = await receipt.sign(privateKey);

Python

pip install agent-receipts

from agent_receipts import Receipt

receipt = Receipt.create(action="tool_call", payload=payload)
signed = receipt.sign(private_key)

Contributing

See CONTRIBUTING.md for development setup and PR guidelines.

Security

See SECURITY.md to report vulnerabilities.

License

Apache License 2.0 -- see LICENSE.
The protocol specification in spec/ is licensed under MIT.

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