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# Control Rubric
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Use this when setting gates, iteration caps, budgets, and stop conditions.
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## Required Guards
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- `loop_control.max_iterations`
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- `gates.*.max_revisions`
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- `loop_control.no_progress.max_stalled_iterations`
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- At least one wall-clock, token, or USD budget cap when external models run.
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The generated Python runner enforces wall-clock caps directly; token and USD
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caps are advisory unless the chosen model CLI exposes accounting that the
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loop operator wires in separately.
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- A stop condition that describes success.
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- A stop condition that describes no-progress or repeated failure.
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## Good Gate Design
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- Plan gate runs before delivery work.
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- Delivery gate runs after each delivery artifact.
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- Programmatic checks run before judge calls when possible.
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- Human checkpoints sit at high-leverage points, usually after plan approval or
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before external egress.
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- Resume happens at gate boundaries unless the user explicitly needs finer
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granularity.
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## Execution Boundary
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- Name where the loop is allowed to modify files: current workspace, branch,
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worktree, throwaway directory, or an external orchestrator workspace.
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- Identify actions with side effects: pushes, PR comments, Slack messages,
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deploys, file deletes, database writes, or vendor sends.
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- Decide whether side-effecting actions require approval, idempotency notes, or
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duplicate-action checks.
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- If the loop may run on a schedule or in parallel, call out the need for an
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external orchestrator with concurrency controls.
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## Failure Behavior
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- Stop immediately when a hard cap is reached.
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- Write the latest state to `loop-workspace/state.json`.
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- Append each meaningful step, decision, check result, and blocker to
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`loop-workspace/run-log.md`.
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- Preserve review notes even when the gate fails.
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- Stop or ask the human when the same blocker repeats for the configured
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no-progress window.
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- Do not let the host keep revising forever.
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## Anti-Patterns
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- No maximum iteration count.
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- A judge gate with no judge.
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- A budget cap in prose but not in `loop_control`.
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- No no-progress detector.
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- A loop that can send duplicate external notifications or repeat destructive
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actions after restart.
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- Scheduled or multi-agent work with no durable orchestrator or concurrency
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story.
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- Human signoff required but no checkpoint.
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- Stop conditions that require subjective self-satisfaction.
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