Update ralph-loop to guardrail hooks task
Switch from completed morning-report to guardrail hooks implementation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -1,25 +1,23 @@
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---
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active: true
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iteration: 36
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max_iterations: 0
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completion_promise: "The morning-report skill is fully implemented, tested, and registered"
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started_at: "2026-01-03T08:16:44Z"
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iteration: 1
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max_iterations: 20
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completion_promise: "Guardrail hooks are fully implemented, tested, and registered"
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started_at: "2026-01-07T18:52:10Z"
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---
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Build the morning-report skill following the design at ~/.claude/docs/plans/2025-01-02-morning-report-design.md
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Implement guardrail hooks following the design at ~/.claude/docs/plans/2025-01-06-guardrail-hooks-design.md
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Implementation order:
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1. Create skill skeleton: ~/.claude/skills/morning-report/ with SKILL.md and config.json
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2. Build collectors: weather.py, stocks.py, infra.py (easy wins first)
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3. Build gtasks.py collector (Google Tasks API - add OAuth scope)
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4. Build news.py collector (RSS feeds)
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5. Build generate.py orchestrator and render.py templating
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6. Create systemd timer and /morning command
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7. Test end-to-end and verify output
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Use appropriate LLM tiers:
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- Haiku: weather, stocks, infra formatting
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- Sonnet: email triage, news summarization
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- None: calendar, tasks (structured data)
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1. Create state/guardrails.json with starter rules config
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2. Create hooks/scripts/guardrail.py main logic
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3. Create hooks/scripts/guardrail-confirm.py confirm helper
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4. Modify hooks/hooks.json to add PreToolUse registration
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5. Modify hooks/scripts/session-end.sh to clear session allowlist
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6. Create logs/ directory
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7. Test: block scenario (catastrophic command pattern)
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8. Test: confirm scenario (operation outside safe paths)
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9. Test: allow scenario (operation in safe path)
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10. Test: git-aware detection
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Register in component-registry.json when complete.
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