Skill Detail

Gate agent inputs and outputs with Superagent safety checks

Use Superagent to add prompt-injection blocking, PII redaction, repository scanning, and compliance evidence around AI agent runs.

Security & VerificationMulti-Framework
Security & Verification Multi-Framework Published
⭐ 6.6k GitHub stars ⬇ 43.7k/wk npm
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill gate-agent-inputs-and-outputs-with-superagent-safety-checks Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Superagent SDK, CLI, or MCP server; SUPERAGENT_API_KEY for hosted checks or supported local guard model
Install & setup
Install the TypeScript package with npm install safety-agent or the Python package with uv add safety-agent, set SUPERAGENT_API_KEY when using hosted checks, then invoke guard, redact, scan, CLI, or MCP flows from the agent workflow.
Author
Superagent AI
Publisher
Open Source Project
Last updated
Jun 2, 2026
Quick brief

Use Superagent when an agent workflow needs an explicit safety gate before it accepts user input, calls tools, returns output, or processes a repository. The operator installs the SDK, CLI, or MCP server, configures the API key or local guard model, runs guard checks on incoming messages, redacts sensitive text when needed, scans repositories for agent-targeted risks, and records the resulting classification or scan report as review evidence. Teams can deploy the check in CI, route blocked results into an approval queue, test risky prompts before production use, and review violations before an agent continues. This is not just an SDK listing: the scope boundary is a reviewable safety workflow around agent execution, with clear inputs, decisions, and outputs. Invoke it instead of normal product use when a team needs repeatable guard, redact, scan, or compliance steps that can be embedded in development, CI, or runtime agent operations. Keep each decision traceable to the upstream Superagent result.