phantom-secrets logo
phantom-secrets
★ 18
vs
assay logo
assay
★ 13

phantom-secrets vs assay

phantom-secrets: Phantom protects sensitive API keys and credentials when working with AI coding agents by replacing real secrets with scoped placeholders. It uses an authenticated local proxy to inject configured authentication values into API requests, preventing agents from directly accessing or exposing actual secret values.; assay: Assay provides an open, recomputable evidence profile for privileged AI agent tool actions, enforcing policies deterministically and fail-closed. It records decisions, observations, and unproven claims into tamper-evident bundles for offline verification and security auditing.

01

TL;DR

phantom-secrets logo
phantom-secretsSecurity & Safety · ★ 18

Securing API keys and sensitive credentials for AI coding agents in development workflows.

assay logo
assaySecurity & Safety · ★ 13

Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.

02

Side-by-Side Comparison

Field
phantom-secrets logophantom-secrets
assay logoassay
Category
Security & Safety
Security & Safety
Stars
★ 18
★ 13
License
MIT
MIT
Install Command
brew tap ashlrai/phantom && brew trust --formula ashlrai/phantom/phantom && brew install ashlrai/phantom/phantom
curl -fsSL https://getassay.dev/install.sh | sh
Updated
4d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent Security, Secrets Management, Credential Protection
AI Agent Security, Tool Call Enforcement, Evidence Auditing
03

Features

phantom-secrets logophantom-secrets
01Reduces AI agent credential exposure risk by isolating secrets from agent context.
02Quick and easy local setup without requiring an account or custom CA.
03Native integrations with popular AI coding agents like Claude Code, Cursor, and Codex.
04Secure encrypted vault leveraging OS credential stores or an encrypted-file fallback.
05Tamper-evident audit log for security monitoring and integrity verification.
assay logoassay
01Deterministic, fail-closed policy enforcement for tool calls, including optional kernel-level enforcement on Linux.
02Generates offline-verifiable, tamper-evident evidence bundles for audit and replay, integrated with CI without a hosted backend.
03Classifies claims by their trust basis (verified, self_reported, inferred, absent) to ensure honesty and prevent claims from exceeding observed facts.
04Policy gate (`assay mcp wrap`) for pre-execution allow/deny decisions on privileged tool calls, with clear reasons.
05Integrates with CI/CD pipelines via GitHub Actions and SARIF, enabling policy gates on pull requests and security-tab integration.
04

Use Cases

phantom-secrets logophantom-secrets
↳Securing API keys and sensitive credentials for AI coding agents in development workflows.
↳Preventing credential leaks in agent contexts, transcripts, tool calls, and generated files.
↳Local development of AI-powered applications requiring secure access to external APIs.
↳Facilitating secure team collaboration on projects with shared secrets and AI agent involvement.
assay logoassay
↳Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.
↳Processing Promptfoo JSONL output from CI evaluations to produce evidence receipts and verified bundles.
↳Auditing and enforcing policies on MCP (Multi-Modal Command Protocol) tool calls, providing an allow/deny audit trail and observed-behavior evidence.
↳Implementing GitHub PR gates based on Trust Basis diffs and policy status, with SARIF/JUnit-ready output.
↳Generating inventory receipts and verified bundles from CycloneDX ML-BOM model components for model inventory and provenance.
FAQ

FAQ

What is the difference between phantom-secrets and assay?
Both phantom-secrets and assay are in the Security & Safety category. phantom-secrets has 18 stars, while assay has 13 stars.
Which is better, phantom-secrets or assay?
The best choice depends on your use case. Choose phantom-secrets if Securing API keys and sensitive credentials for AI coding agents in development workflows., and assay if Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests..
Is phantom-secrets free or open source?
Yes, phantom-secrets is open source on GitHub (MIT).
Is assay free or open source?
Yes, assay is open source on GitHub (MIT).
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