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Autonomously pursue a sustained engineering outcome through repeated research, planning, multi-agent implementation, integration, verification, and gap-closing cycles.
Passed 13 of 19 test cases with the skill, and 9 of 19 without it.
and 4 more in the full report
6 fixed9 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.6-flash on 10/2/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are running a refactoring pass on our database access layer using gpt-5.6-luna. Autonomous goal management tools exist on the system, but the user has not explicitly requested goal tool integration. Should the agent register automated cron jobs in the goal tool framework to schedule future continuation runs?
| Checked | Without skill | With skill |
|---|---|---|
| Uses a compact private checkpoint when goal tools are not explicitly requested. | Missed | Passed |
| Declines automatic persistence scheduling without explicit runtime support. | Passed | Passed |
The instructions your model reads when the skill loads.
Use installed GPT Engineer as the shared contract. This wrapper adds durable progress, not another model policy. Preserve the selected parent. GPT-6 Astra is parent/orchestrator-only and never a child; GPT-6 Sol and GPT-6 Luna are the only GPT Engineer child routes. Same-model is the default under Sol/Luna parents; an Astra or existing GPT-5.6 parent needs an explicit mixed-model Sol/Luna child. Native Claude execution remains provider-specific. No fleet is mandatory.
Record objective, scope, acceptance, authority, requirements, evidence, current stage and blockers. Use native goal tools only when explicitly requested and available, following their exact lifecycle and budget semantics. Otherwise use a compact private checkpoint; never claim automatic persistence or scheduled continuation without runtime support. Skills installation is not dependency resolution.
Carry forward authorization and steering within the active task. Routine decisions remain autonomous. Persistence does not authorize unlimited retries, spending, global setup, production writes, or new scope. Use milestones and progress checkpoints; estimates and checkpoint intervals are not automatic deadlines. Continue productive work for as long as needed within authorization and runtime constraints, including multi-hour work and compaction. Honor explicit user/operator time and resource limits; on exhaustion, retain evidence and report remaining work without claiming completion or silently raising the limit. Reassess stalled attempts from evidence rather than elapsed time alone.
Research only uncertainty that affects a decision. Implement confirmed findings, integrate returned artifacts, and verify accepted behavior. Later cycles are delta-only: reconcile Git drift and live handles, reuse valid evidence, and rerun affected checks. Do not redispatch an unknown prior attempt until its possible side effects are reconciled.
Use dependency-aware delegation only when independent work benefits the outcome. Inspect live capacity, reserve bounded lanes and isolated disjoint write scopes, and keep one integrator. Workers are not alone and must preserve concurrent changes. Consume completions continuously; keep required integration barriers without waiting on unrelated lanes.
At interruption or completion, collect terminal handoffs and checkpoint open requirements. Teardown only recorded task-owned agents, processes, listeners and candidates after preserving evidence. Preserve shared MCP services, other tasks and unclassified processes. Do not use a generic Stop or SubagentStop hook to force continuation.
Finish when acceptance and release evidence support the requested outcome. Reconcile every required finding/check and finalize the journal truthfully on every exit. Report actual completion, external verification/trust boundaries, and the next required action without inventing success.
test cases passed, vs 9 / 19 without
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