Individual skill
cybernetic-loop
Use when the caller supplies a falsifiable out-of-happy-path invariant and a finite budget. Restores via bounded patches or reverts. Not for normal feature delivery or universal retries.
.devin/skills/cybernetic-loop/SKILL.md
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SKILL.mdcore · 6,612 bytesagents/openai.yamlasset · 160 bytes
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# Cybernetic loop
## Contract
| Field | Bound contract |
|---|---|
| Trigger | Use only when the caller names one falsifiable invariant outside the prior happy path, such as reorganization, peer-to-peer behavior, or index recovery, together with one finite patch budget. Do not use this workflow for normal feature delivery or as a universal retry loop. |
| Authority | Reversible local: writes only budgeted candidate patches within the bounded local working-tree scope recorded before mutation; rollback is restoring the pre-run checkpoint byte-for-byte, including any pre-existing state. No remote mutation. |
| Side effect | Mutates the working tree only through candidate patches applied after the checkpoint. Keep a candidate only when the full frozen check set shows that at least one failing check now passes and no previously passing check fails; otherwise revert that candidate. On non-convergence, revert every retained candidate to the checkpoint. |
| Done | Return exactly one terminal status: `already-holds` when the full frozen check set passes before mutation; `restored` when all frozen checks pass together in one run within budget; or `non-converged` after restoring the checkpoint and returning the run transcript. |
## Inputs
- Exactly one caller-supplied invariant stated so a check can falsify it. It must describe behavior outside the prior happy path.