Archive completed tasks, add cleanup commands, self-documenting dashboard UI
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- 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
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complete
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# Implementation: Rewrite VRAM Detection as Python Script
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## Summary
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Replaced `scripts/vram_detect.sh` with `scripts/vram_detect.py`, a testable Python implementation that produces the same JSON output and fixes several bugs.
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## Files Changed
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- `scripts/vram_detect.py` (new)
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- `scripts/vram_detect.sh` (deleted)
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- `scripts/install.sh` — updated to run Python script and parse JSON with Python
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- `README.md` — updated references
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- `prompts/onboarding.md` — updated references and invocation
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- `prompts/decompose.md` — updated references
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- `prompts/orchestrate.md` — updated references
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## Bugs Fixed
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- Undefined `$headroom_pct` in manual mode.
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- Hardcoded `"headroom": 0.25` in JSON output.
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- Code-block values in `config.md` being parsed as live config.
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- GPU-counting/output ordering bug.
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- 10KB file-read limit now enforced for API config files.
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## Verification
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- `python scripts/vram_detect.py` runs and emits valid JSON.
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- `python scripts/vram_detect.py gpt-4o` detects 128k context.
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- `python scripts/vram_detect.py --model claude-3-5-sonnet` detects 200k context.
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- `rg "vram_detect\.sh" README.md scripts/install.sh prompts/` returns no matches.
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# Review
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- **Status**: approved
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- **Timestamp**: 2026-06-14T09:59:39.216341
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- **Comment**:
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# SPEC: Rewrite VRAM Detection as Python Script
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## Goal
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Replace the fragile `scripts/vram_detect.sh` with a testable Python script that produces the same JSON output.
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## Requirements
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1. Create `scripts/vram_detect.py` with the same CLI interface:
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- `--model` / `-m`
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- `--project` / `-p`
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- Optional positional model name
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2. Preserve the human-readable output sections and the `=== JSON Output ===` block.
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3. Fix known bugs:
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- Undefined `$headroom_pct` in manual mode.
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- Hardcoded `"headroom": 0.25` in JSON output.
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- GPU-counting/output ordering bug.
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- Enforce 10KB file-read limit for API config files.
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4. Delete `scripts/vram_detect.sh`.
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5. Update references in `prompts/orchestrate.md`, `prompts/decompose.md`, `prompts/onboarding.md`, `README.md`, and `config.md` to point to the Python script.
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## Acceptance Criteria
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- [ ] `python scripts/vram_detect.py` runs and emits valid JSON.
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- [ ] Manual-mode headroom is read from `config.md`, not hardcoded.
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- [ ] Large API config files are read with a 10KB limit.
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- [ ] `scripts/vram_detect.sh` no longer exists.
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- [ ] All prompts/docs reference the Python script.
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## Non-Goals
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- Changing the recommendation algorithm.
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- Adding GPU vendor detection beyond Linux `nvidia-smi`, `lspci`, and `/proc/meminfo`.
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## Stop Condition
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When all acceptance criteria are met, output "CONTRACT_MET".
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# Verdict: Rewrite VRAM Detection as Python Script
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## Status: PASS
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**Completion Date**: 2026-06-14
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## Summary
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`scripts/vram_detect.sh` has been replaced by `scripts/vram_detect.py`. The new script is more testable, fixes config-parsing bugs, and preserves the existing CLI and JSON output format.
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## Findings
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- New Python script created and made executable.
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- Old shell script deleted.
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- All references in prompts, README, and install script updated.
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- Manual runs with and without model arguments succeed and produce valid JSON.
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## Remaining Issues
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None.
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## Score
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+10 PASS
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