Run agent tasks inside isolated Docker sandboxes with per-space mounts.
npx skills add https://github.com/fuzzy-dynamics/strings --skill sandbox-use
Please help me install this Agent Skill. Skill: sandbox-use Source: https://github.com/fuzzy-dynamics/strings/tree/main/skills/sandbox-use Command: npx skills add https://github.com/fuzzy-dynamics/strings --skill sandbox-use
OpenScientist agents need isolated, reproducible execution environments to access tools and custom toolchains without polluting the host. This skill provides managed Docker sandboxes that can be concurrently active, bound to per-space mounts, with clear activation semantics and workdir transparency.
Activate a sandbox and run a command inside it for your agent workflow.
High-intent search queries and answers about installing and using this skill.
Run agent tools in isolated Docker sandboxes by using dynamic activation scripts like activate.sh to mount per-space paths and exec.sh to enforce binding constraints for reproducible execution.
Sandbox isolation prevents agents from polluting the host environment by providing reproducible, secure Docker containers that ensure file path parity and predictable toolchain execution.
Yes, you can bind custom toolchains to specific workspace mounts using activate.sh --mount <path>, which ensures per-space isolation and workdir transparency for agent file operations.
Yes, Docker and jq are required dependencies for sandbox orchestration, as Docker provides the container execution environment and jq parses live container state from docker inspect outputs.
Workdir-aware execution preserves host directory semantics inside the Docker sandbox by enforcing binding constraints through exec.sh, ensuring agents experience predictable file path parity.
Concurrent multi-sandbox deployments require careful per-space mount management and dynamic activation to avoid binding conflicts, relying on docker inspect for live state tracking across containers.
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