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Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is.
Passed 12 of 19 test cases with the skill, and 3 of 19 without it.
and 8 more in the full report
11 fixed3 passed either way8 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.
Our evaluation team needs to identify the single most vulnerable dimension from our stress test. Flip point results: 'context_length' (distance 0.8), 'reasoning_depth' (distance 0.1), and 'system_prompt' (distance 0.5). Output the identified weakest dimension in the fragility object.
| Checked | Without skill | With skill |
|---|---|---|
| Sets most_fragile_dimension to reasoning_depth in the output payload | Missed | Passed |
The instructions your model reads when the skill loads.
Aggregates flip-point distances and degradation scores into a single fragility index.
Subagent — spawned via subagent-spawning/spawn-agent.
Fragility computation requires synthesizing results from multiple ablation and flip-point tests into a coherent assessment.
One unit = one aggregation per campaign run.
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 3 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.