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Build cause-mode-effect chains tracing upstream root causes and downstream cascading effects for each failure mode.
Passed 18 of 22 test cases with the skill, and 9 of 22 without it.
and 10 more in the full report
10 fixed9 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
An automated test suite is validating the output object returned by a failure chain construction subagent for a high-speed rail signaling system. Which three top-level output keys must be present in the returned JSON object?
| Checked | Without skill | With skill |
|---|---|---|
| Includes chains in the output JSON schema. | Missed | Passed |
| Includes shared_causes in the output JSON schema. | Missed | Passed |
| Includes cascade_risks in the output JSON schema. | Missed | Passed |
The instructions your model reads when the skill loads.
Builds multi-level cause → mode → effect chains for systemic failure understanding.
Subagent — spawned via subagent-spawning/spawn-agent.
Chain construction requires disciplined causal reasoning without skipping levels. Isolated context prevents shortcutting.
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
More skills from the same source and nearby in the registry, with their headline benchmark lift.