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Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Passed 8 of 20 test cases with the skill, and 3 of 20 without it.
5 fixed4 passed either way14 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
Use bash background mode for non-interactive coding work. For interactive coding sessions, use the tmux skill (always, except very simple one-shot prompts).
# Create temp space for chats/scratch work
SCRATCH=$(mktemp -d)
# Start agent in target directory ("little box" - only sees relevant files)
bash workdir:$SCRATCH background:true command:"<agent command>"
# Or for project work:
bash workdir:~/project/folder background:true command:"<agent command>"
# Returns sessionId for tracking
# Monitor progress
process action:log sessionId:XXX
# Check if done
process action:poll sessionId:XXX
# Send input (if agent asks a question)
process action:write sessionId:XXX data:"y"
# Kill if needed
process action:kill sessionId:XXX
Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files (like your soul.md 😅).
Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)
# --full-auto: sandboxed but auto-approves in workspace
test cases passed, vs 3 / 20 without
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