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* feat: env var passthrough for skills and user config Skills that declare required_environment_variables now have those vars passed through to sandboxed execution environments (execute_code and terminal). Previously, execute_code stripped all vars containing KEY, TOKEN, SECRET, etc. and the terminal blocklist removed Hermes infrastructure vars — both blocked skill-declared env vars. Two passthrough sources: 1. Skill-scoped (automatic): when a skill is loaded via skill_view and declares required_environment_variables, vars that are present in the environment are registered in a session-scoped passthrough set. 2. Config-based (manual): terminal.env_passthrough in config.yaml lets users explicitly allowlist vars for non-skill use cases. Changes: - New module: tools/env_passthrough.py — shared passthrough registry - hermes_cli/config.py: add terminal.env_passthrough to DEFAULT_CONFIG - tools/skills_tool.py: register available skill env vars on load - tools/code_execution_tool.py: check passthrough before filtering - tools/environments/local.py: check passthrough in _sanitize_subprocess_env and _make_run_env - 19 new tests covering all layers * docs: add environment variable passthrough documentation Document the env var passthrough feature across four docs pages: - security.md: new 'Environment Variable Passthrough' section with full explanation, comparison table, and security considerations - code-execution.md: update security section, add passthrough subsection, fix comparison table - creating-skills.md: add tip about automatic sandbox passthrough - skills.md: add note about passthrough after secure setup docs Live-tested: launched interactive CLI, loaded a skill with required_environment_variables, verified TEST_SKILL_SECRET_KEY was accessible inside execute_code sandbox (value: passthrough-test-value-42). |
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| .. | ||
| __init__.py | ||
| base.py | ||
| daytona.py | ||
| docker.py | ||
| local.py | ||
| modal.py | ||
| persistent_shell.py | ||
| singularity.py | ||
| ssh.py | ||