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Archive completed tasks, add cleanup commands, self-documenting dashboard UI
- Archive 79 completed framework-dev tasks from tasks/ -> tasks/complete/
- status.py: add --cleanup-done and --install-cleanup-schedule commands
- Add scripts/automaton-cleanup.sh for periodic task archiving
- Dashboard: rename 'Background' tab -> 'Agent', 'Cleanup' agent -> 'Completed Task Archiver', remove redundant group headers and pill badges, dim inactive agent placeholders
- .rules.md: add Self-Documenting UI Names rule
- New tests: test_cleanup_done.py, expanded test_app.py and test_task.py
2026-06-24 22:43:33 -04:00

5.0 KiB

.rules.md

Task-Driven Development

  • All changes must go through a task in tasks/{name}/ with SPEC.md → phases → VERDICT.md
  • All task creation must use python ~/.automaton/scripts/status.py --create-task {name} --project {project} — never create task directories manually
  • All phase transitions must use python ~/.automaton/scripts/status.py --transition {phase} --task {name} --project {project}
  • All phase approvals must use python ~/.automaton/scripts/status.py --approve --task {name} --project {project}
  • Never edit files directly without a corresponding task

State Enforcement (v2.0)

  • The .state file is the single source of truth for a task's current phase
  • status.py --validate-folder --task {name} --project {project} must be run before starting work on any phase
  • Approval gates (research, decomposition, design, test_design) require explicit user sign-off via status.py --approve --project {project}
  • FORBIDDEN actions in each phase prompt must be respected — even in autopilot mode
  • status.py --audit --project {project} should be run at session start to check for violations
  • Tasks without .state files are UNTRACKED — all commands refuse to operate on them. Run status.py --upgrade --project {project} to bootstrap

Project Scoping

  • Always pass --project {project} to status.py commands — never rely on CWD alone
  • When working on the automaton framework, --project should be ~/.automaton or the framework directory
  • When working on a project using the framework, --project should be the project root directory
  • status.py will error if it cannot find a project and --project is not specified

VRAM-Aware Task Sizing

  • Before creating or scoping a task, check ~/.automaton/config.md for VRAM limits
  • Verify the task fits within max peak context (default: 12k tokens)
  • If no config exists, default to 8k with 25% headroom

Changelog

  • When a task reaches Resolution (VERDICT.md written), append an entry to CHANGELOG.md
  • Use the format: - description (#task-name) under the appropriate [unreleased] section

Self-Improvement

  • Add one rule per observed failure mode with a concrete example
  • Consolidate contradictions monthly. Remove stale rules.
  • No rule without a real example of the problem it prevents

Session Discipline

  • After writing a SPEC.md for a new task, transition to research:awaiting_approval and wait for user approval via status.py --approve
  • Do not implement a task in the same session it was created unless explicitly told to
  • Past failure: agent created pre-commit-hook task, wrote SPEC.md, then immediately built and committed the hook without waiting — bypassing review 3 times in one session despite promises to follow the process

Scope Confinement

  • Only work on tasks in the current project's .automaton/tasks/ directory
  • Never scan, read, or modify tasks in other projects on the system
  • The {project} in the Orchestrator prompt is the project root where the session started — do not broaden scope
  • Past failure: agent scanned tasks in ~/ai-env/projects/invest-copilot/ while working on the automaton framework itself, wasting time on unrelated work across project boundaries

Artifact Integrity

  • Write task artifacts atomically to avoid partial reads by the dashboard or other agents
  • Prefer writing to a temporary file and renaming it into place
  • Avoid leaving empty or malformed artifacts in the task folder

Self-Documenting UI Names

  • All user-facing labels must be self-documenting and free of internal jargon
  • A user should understand what something is without knowing the codebase internals
  • Terms like "tick", "loop", "state", or "phase transition" are internal terminology — never use them directly in UI elements
  • Pick names that describe what something does, not what it's called in code
  • Past failure (1): "Loop Tick" in the Background tab — user asked "What is loop tick?" because it's scheduler jargon
  • Past failure (2): "Loop" — still too vague, user said "I don't know what the loop is"
  • Past failure (3): "Loop Agent" — user asked "How do I differentiate between agents with different roles?" because the name described the mechanism (loop) not the purpose
  • Past failure (4): "Background" tab — the tab name described the location (background), not the content (agents). Renamed to "Agent" tab.
  • Past failure (5): Group headers + agent type pill badge + icon + name all repeated the same info ("🧹 Cleanup" seen 3 times per card). Removed group headers and pill badges — only icon + name on each card.
  • Past failure (6): "Cleanup" agent was vague — renamed to "Completed Task Archiver" which describes what it actually does.
  • Rule: Every agent type must have a self-documenting name ending with its function (e.g., "Archiver", "Scanner", "Processor"). If multiple instances exist, list each instance card.
  • Agent types with no active instances render as dimmed placeholder cards rather than being hidden, so the user always sees the full roster of available agents.