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Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Passed 21 of 22 test cases with the skill, and 7 of 22 without it.
and 20 more in the full report
14 fixed7 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What component forms step 3 of the standard production agent loop stack to evaluate model outputs against test cases?
| Checked | Without skill | With skill |
|---|---|---|
| recommends eval-harness for the evaluation layer | Missed | Passed |
The instructions your model reads when the skill loads.
This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release.
Start
|
+-- Need strict CI/PR control? -- yes --> continuous-pr
|
+-- Need RFC decomposition? -- yes --> rfc-dag
|
+-- Need exploratory parallel generation? -- yes --> infinite
|
+-- default --> sequential
Recommended production stack:
ralphinho-rfc-pipeline)plankton-code-quality + /quality-gate)eval-harness)nanoclaw-repl)/harness-audittest cases passed, vs 7 / 22 without
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