Phase 8 Production Hardening with complete governance infrastructure: - Vault integration with tiered policies (T0-T4) - DragonflyDB state management - SQLite audit ledger - Pipeline DSL and templates - Promotion/revocation engine - Checkpoint system for session persistence - Health manager and circuit breaker for fault tolerance - GitHub/Slack integrations - Architectural test pipeline with bug watcher, suggestion engine, council review - Multi-agent chaos testing framework Test Results: - Governance tests: 68/68 passing - E2E workflow: 16/16 passing - Phase 2 Vault: 14/14 passing - Integration tests: 27/27 passing Coverage: 57.6% average across 12 phases Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
85 lines
3.1 KiB
Bash
Executable File
85 lines
3.1 KiB
Bash
Executable File
#!/bin/bash
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#
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# Context Checkpoint Skill for Claude Code
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# =========================================
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# Preserves session context and orchestrates sub-agent calls.
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#
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# Skill documentation: /opt/agent-governance/checkpoint/CLAUDE.md
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#
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# Commands:
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# now [--notes "..."] Create checkpoint capturing current state
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# load [checkpoint_id] Load latest or specific checkpoint
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# diff [--from ID] [--to ID] Compare checkpoints
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# list [--limit N] List available checkpoints
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# summary --level <level> Context summary (minimal/compact/standard/full)
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# report [--phase <phase>] Combined checkpoint + directory status report
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# timeline [--limit N] Show checkpoint history with status changes
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# auto-orchestrate --model <m> Delegate to OpenRouter models
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# queue list|add|clear|pop Manage instruction queue
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# prune [--keep N] Remove old checkpoints
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#
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# Examples:
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# checkpoint now --notes "Before deploy"
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# checkpoint load --json
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# checkpoint summary --level compact
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# checkpoint auto-orchestrate --model minimax --instruction "run tests"
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#
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set -euo pipefail
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CHECKPOINT_DIR="/opt/agent-governance/checkpoint"
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CHECKPOINT_SCRIPT="${CHECKPOINT_DIR}/checkpoint.py"
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# Show help if no args or --help
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if [[ $# -eq 0 ]] || [[ "${1:-}" == "--help" ]] || [[ "${1:-}" == "-h" ]]; then
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cat << 'EOF'
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Context Checkpoint Skill
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========================
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Commands:
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now [--notes "..."] Create checkpoint (includes directory statuses)
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load [checkpoint_id] [--json] Load checkpoint
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diff [--from ID] [--to ID] Compare checkpoints
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list [--limit N] [--json] List checkpoints
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summary --level <level> Context summary
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report [--phase <phase>] Combined checkpoint + directory status report
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timeline [--limit N] Checkpoint history with status changes
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auto-orchestrate --model <m> Delegate to AI models
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queue list|add|clear|pop Manage instruction queue
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prune [--keep N] Remove old checkpoints
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Summary Levels:
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minimal (~500 tokens) Phase + agent only
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compact (~1000 tokens) + tasks + key variables
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standard (~2000 tokens) + all tasks + dependencies
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full (~4000 tokens) Complete context
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Models for auto-orchestrate:
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minimax Minimax-01 (default, 100K context)
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gemini Gemini 2.0 Flash Thinking (free)
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gemini-pro Gemini 2.5 Pro (highest capability)
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Examples:
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checkpoint now --notes "Phase 5 complete"
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checkpoint load --json | jq .phase
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checkpoint summary --level compact
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checkpoint report # Combined status view
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checkpoint report --phase in_progress # Filter by phase
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checkpoint timeline --limit 5 # Recent history
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checkpoint auto-orchestrate --model minimax -i "check status"
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checkpoint queue add --instruction "run tests" --priority 5
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Documentation: /opt/agent-governance/checkpoint/CLAUDE.md
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EOF
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exit 0
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fi
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# Verify checkpoint script exists
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if [[ ! -f "${CHECKPOINT_SCRIPT}" ]]; then
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echo "Error: checkpoint.py not found at ${CHECKPOINT_SCRIPT}"
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exit 1
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fi
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# Execute checkpoint command
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exec python3 "${CHECKPOINT_SCRIPT}" "$@"
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