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Preemptive risk assessment for AI agents, MCP servers, and agent to agent designs. Use whenever the user shares a system prompt, tool list, MCP configuration, agent card, or agent architecture and wants risk rated, controls evaluated, security gaps found, or future risk predicted, even if they only ask "is this agent safe" or "review my agent."
para is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # PARA: Preemptive Agent Risk Assessment This skill rates an agent design on three horizons: - **Inherent**: capabilities, inputs, and autonomy with no controls. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding para to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install camaleon2016/PARAtrooperReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# PARA: Preemptive Agent Risk Assessment This skill rates an agent design on three horizons: - **Inherent**: capabilities, inputs, and autonomy with no controls. - **Residual**: in