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Map system architecture to ablatable units for ablation studies
Passed 13 of 22 test cases with the skill, and 9 of 22 without it.
and 2 more in the full report
4 fixed9 passed either way9 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Break down our autonomous vehicle perception architecture into ablatable components for offline evaluation. The system has camera detection, LiDAR segmentation, radar tracking, and sensor fusion. Provide complete details for all components including sensor fusion.
| Checked | Without skill | With skill |
|---|---|---|
| Includes removal strategies for the sensor fusion module. | Passed | Passed |
| Includes removal strategies for the LiDAR pointcloud segmenter. | Passed | Passed |
| Lists object detection impact for each disabled sensor unit. | Missed | Passed |
The instructions your model reads when the skill loads.
Map the system architecture to a set of ablatable units, identifying dependencies, removal strategies, and expected impact for each component.
Subagent — spawned via subagent-spawning/spawn-agent skill.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
test cases passed, vs 9 / 22 without
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