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Makes the skill work on any laptop regardless of installed Python version or LLM harness, without per-command approval prompts or missing deps. - Makefile: auto-detect Python (venv > 3.12 > 3.11 > 3.10 > python3) and new `make venv` target that picks the best Python at creation time - .claude/settings.json: project-level Claude Code permissions (Write to examples/ and output/, common bash commands pre-authorized) - .codex/config.toml: Codex sandbox config with network_access=true, approval_policy=never, sandbox_mode=workspace-write — fixes `make venv` failing with "No matching distribution" in Codex - CLAUDE.md / AGENTS.md: document the `make venv` flow, drop all hardcoded python3.12 references in favor of make targets - CLAUDE.md: add Karpathy-style coding guidelines (think before coding, simplicity first, surgical changes, goal-driven execution) - .gitignore: add .venv/ Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
22 lines
760 B
TOML
22 lines
760 B
TOML
# Codex project configuration for OCI Deal Accelerator
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# Applies to every user who opens this project with Codex CLI.
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# Allow the agent to run commands without per-command approval prompts.
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approval_policy = "never"
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# Workspace-write: agent can write inside the project root but not system-wide.
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sandbox_mode = "workspace-write"
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[sandbox_workspace_write]
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# Allow network access so `pip install -r requirements.txt` and `make venv`
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# can actually download dependencies. Without this, Codex blocks PyPI.
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network_access = true
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writable_roots = []
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exclude_tmpdir_env_var = false
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exclude_slash_tmp = false
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[shell_environment_policy]
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# Inherit the user's shell env so python3.12 / python3 resolution works
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# the same way as the Makefile expects.
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inherit = "all"
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