agentseal
AgentSeal is a local-first security toolkit/CLI and Python/TypeScript library for auditing AI agent configurations and prompts. It scans for dangerous “skill”/agent files, checks MCP server/tool configurations for poisoning, analyzes toxic data flows, provides prompt red-teaming via adversarial probes, and can continuously watch/alert on changes to agent config files.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security intent is strong (local scanning, MCP poisoning checks, prompt red-teaming, Unicode/Base64/BiDi deobfuscation, baseline tracking). However, the README does not describe transport/security controls in detail (TLS, certificate validation), nor does it document how secrets are handled in logs, nor provides dependency/CVE hygiene or scope granularity details. It also performs security testing that may require contacting agent endpoints/models, so operational safety depends on your environment and LLM/provider choices.
⚡ Reliability
Best When
You maintain local developer tooling/agent setups (VS Code extensions, agent CLIs, MCP tool servers) and want automated checks for configuration poisoning and prompt injection regressions in CI.
Avoid When
You need a formal assurance/compliance attestation rather than heuristic scanning and probe-based testing; or you cannot control network/LLM endpoints and need fully offline verification for prompt testing.
Use Cases
- • Pre-deployment scanning of local AI agent configurations (skills, MCP configs) for malicious or risky patterns
- • Prompt injection/red-teaming of system prompts with a deterministic trust score
- • Auditing live MCP servers for poisoned tool descriptions and hidden instructions
- • Continuous monitoring of agent config directories for supply-chain style modifications
- • Generating machine-readable security reports (e.g., JSON/SARIF) for CI integration
Not For
- • As a replacement for secure-by-design agent runtime controls and least-privilege tool access
- • Guaranteeing absence of vulnerabilities or bypassing all novel prompt attacks
- • Auditing third-party systems you cannot access locally or via an authorized endpoint/MCP connection
Interface
Authentication
No OAuth described. For cloud model usage, API keys are required; local/guard/shield do not require an API key. For HTTP endpoint scanning, auth is unspecified (depends on the endpoint you provide).
Pricing
Cost drivers are the LLM calls used by `scan` and optional LLM classification in MCP scanning; guard/shield are offline. Exact Pro pricing and exact free limits are not provided in the README content.
Agent Metadata
Known Gotchas
- ⚠ Probe-based scoring can produce false positives/negatives depending on prompt formatting, model behavior, and tool/runtime differences.
- ⚠ When scanning MCP servers, behavior may depend on runtime context (stdio vs SSE) and what tools actually expose; tool description poisoning is only one layer of safety.
- ⚠ `scan` relies on LLM responses for prompt tests when using cloud models; results may differ across providers/models and versions.
Alternatives
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Scores are editorial opinions as of 2026-03-30.