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Recovers broken agent state via crash recovery, context overflow, and merge conflict protocols.
Passed 17 of 22 test cases with the skill, and 7 of 22 without it.
and 9 more in the full report
12 fixed5 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
What condition must be satisfied regarding downstream artifacts before a damage recovery session meets its exit criteria?
| Checked | Without skill | With skill |
|---|---|---|
| Requires verifying that all expected downstream artifacts are present on disk. | Missed | Passed |
The instructions your model reads when the skill loads.
Provides recovery protocols for agents that encounter broken state mid-session. Damage control covers four failure classes: agent crashes with partial work on disk, context window overflow that causes state loss, merge conflicts blocking forward progress, and general session state corruption requiring reconciliation.
The skill does not prevent failures. It defines what to do after one has already happened, so recovery is consistent, auditable, and does not silently discard work.
git merge or git rebase produced conflicts the agent cannot
resolve automaticallySkill(leyline:risk-classification) instead)Skill(attune:war-room) instead)Skill(leyline:error-patterns) instead)Use this decision tree to route to the correct module:
flowchart TD
test cases passed, vs 7 / 22 without
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