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Local-only self-reflection that forces **objective** action for AI agents. No data leaves your machine.
Passed 20 of 22 test cases with the skill, and 10 of 22 without it.
and 9 more in the full report
10 fixed10 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When executing the local reflection script with the `--write` flag enabled, where is the resulting action plan markdown file stored on disk by default?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies memory/agentic-compass.md as the output target file path | Missed | Passed |
The instructions your model reads when the skill loads.
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) |
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.