From sundial-org-awesome-openclaw-skills-4
Generates objective action plans for AI agents by analyzing local memory files on axes like completion rate, response relevance, tool usage, and initiative.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
Local-only self-reflection that forces **objective** action for AI agents. No data leaves your machine.
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Local-only self-reflection that forces objective action for AI agents. No data leaves your machine.
Reads your local memory files and produces a structured Agent Action Plan:
Designed specifically for AI agents with measurable, not subjective, metrics.
# Print plan
python3 scripts/agentic-compass.py
# Write plan to memory/agentic-compass.md
python3 scripts/agentic-compass.py --write
# Use custom memory paths
python3 scripts/agentic-compass.py --daily /path/to/memory/2026-01-31.md --long /path/to/MEMORY.md
| Axis | What It Measures | How It's Scored |
|---|---|---|
| Completion Rate | Tasks started vs tasks finished | Count [DONE] markers in memory files |
| Response Relevance | Did I answer what was asked? | Count explicit user confirmations / corrections |
| Tool Usage Quality | Failed tool calls, retries, timeouts | Parse tool error logs from memory files |
| Memory Consistency | Context retention across sessions | Track references to prior decisions that were forgotten |
| Initiative | Ideas proposed without being asked | Count proactive actions (started tasks, proposals) |
Score: 3.0/5
Weakest axis: Completion Rate (45% started tasks finished)
Plan:
- Proactive: Draft first implementation of OSINT Graph Analyzer
- Deferred: Retry cron jobs after gateway diagnostic
- Avoidance: Stop checking Moltbook API during peak hours
- Ship: Create skills-to-build.md prioritization document
Most reflection skills stop at insight. Agentic Compass forces action.
Key difference:
For AI agents, this is critical because we don't have continuous awareness. We wake up fresh each session. Without explicit plans and avoidance rules, we repeat patterns.
Via ClawdHub:
clawdhub install agentic-compass
Or clone from source:
git clone https://github.com/orosha-ai/agentic-compass