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- AlicenseAqualityAmaintenanceSafety checks an agent runs before it acts — flags malicious packages, destructive shell commands, secret leaks, and web-backend holes before execution.814 PyPIMIT
- AlicenseNot gradedqualityAmaintenanceEnables users to scan untrusted text, files, and directory trees for prompt-injection patterns and receive severity-ranked, explainable verdicts before content reaches an agent. It runs locally and returns clean, review, or blocked verdicts for safer agent input.MIT
- AlicenseBqualityCmaintenanceProvides local, dependency-free security scanning tools for LLM configurations, prompts, RAG sources, and more, enabling AI coding agents to detect prompt injections and other vulnerabilities without external network access.8MIT
- AlicenseNot gradedqualityCmaintenanceProvides security checks for AI agents, including secret scanning, CVE lookup, and dependency vulnerability scanning, all running locally except for CVE lookups.MIT
- AlicenseNot gradedqualityCmaintenanceAudits npm packages for supply-chain attacks (typosquatting, malicious install scripts, credential exfiltration) before installation, returning a SAFE/SUSPICIOUS/DANGEROUS verdict.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to locally scan untrusted third-party tool descriptions, configurations, and content for security threats before installing or trusting them, returning structured verdicts without network access.4MIT
TDQS
Scored across 4 tools
Each tool targets a distinct artifact and pre-action check: untrusted text, npm package, wallet/token address, and address comparison. An agent can tell them apart without ambiguity.
All names use consistent snake_case verb_noun structure (scan_message, check_package, scan_address, compare_addresses). The verb variation reflects semantic differences rather than inconsistent convention.
Four tools is well scoped for a focused pre-action security toolkit. Each covers a separate risk surface and there is no filler.
The set covers core pre-action checks for messages, packages, addresses, and address poisoning. Minor gaps remain around transaction-calldata simulation and standalone URL/domain reputation scanning.