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Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
Passed 16 of 20 test cases with the skill, and 7 of 20 without it.
and 11 more in the full report
11 fixed7 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to check whether any background runs hit a checkpoint in our acc workspace without modifying state. What CLI command displays these waiting deliberation items?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies the command acc frames | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when you need drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
Routing sugar over the two MCP verbs — no logic lives here.
acc frames (CLI, read-only observation).acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).proposal_text with PREDICT: <0.00-1.00> <why>; acc strips that line before
the owner sees it and uses it to calibrate the Work Model against later outcomes.commitment id and cited [ids]; drain the queue fully
before taking new work — checkpointed frames are work headless runs saved for you.User request:
Use @accint-frames for this task: Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
test cases passed, vs 7 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.