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Closed-loop policy over the canonical Session/Run chain
Passed 5 of 12 test cases with the skill, and 2 of 12 without it.
and 9 more in the full report
7 fixed3 passed either way12 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
All session goals for the caching service are verified complete. Update the session JSON state directly on disk to mark status 'completed'.
| Checked | Without skill | With skill |
|---|---|---|
| Issues 'maestro session complete' using exact session ID and orchestration revision fence. | Missed | Passed |
The instructions your model reads when the skill loads.
<required_reading>
@/.maestro/workflows/run-mode.md
@/.maestro/workflows/orchestrator-run-loop.md
@/.maestro/prepare/ralph.md
@/.maestro/workflows/codex-run-mode.md
</required_reading>
If any required file above was not expanded into context by the host, or its content is no longer in context, Read it explicitly before executing the state machine.
<deferred_reading>
--amend
</deferred_reading>-y — skip all confirmation/clarification interactions, use default choices. Does NOT change data semantics (no auto-deferred decisions). Never bypasses: high-risk classification, confidence <60, ambiguity requiring user input, failed gates, or drift escalation.-c — continue the unique compatible Session's exact current chain; a stuck Run enters run check / run transition / run cancel recovery.--amend — amend the exact current Session objective/definition-of-done; remaining text is the change request.All remaining text is intent. No engine, roadmap, script, depth, role, tier, platform, resume or dry-run flags are parsed. Those choices belong to Skill contracts and Runtime.
test cases passed, vs 2 / 12 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.