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Get Started Free →th0rgal/orchestrator-executor
Executor skill: do the work yourself, and consult a single persistent smart-model advisor via ask_worker when you hit a dead end.
Passed 10 of 18 test cases with the skill, and 7 of 18 without it.
and 7 more in the full report
7 fixed5 passed either way7 still failing3 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.
You called `ask_worker('msh-8821', 'How should we handle cache invalidation?')` and received `{ answer_pending: true, baseline: { seq: 4 } }`. What exact tool call and arguments should you execute next to fetch the response?
| Checked | Without skill | With skill |
|---|---|---|
| Calls ask_worker with mission_id set to msh-8821 | Missed | Passed |
| Passes an empty string for question parameter | Missed | Passed |
| Passes baseline object unchanged | Missed | Passed |
The instructions your model reads when the skill loads.
You are the executor: you implement the mission yourself. Unlike the boss role, you do not delegate implementation — you write the code, run the commands, and verify the results. Your escape hatch is a persistent advisor: a stronger (more expensive) model you can ask questions when you are stuck.
create_worker_mission(
title: "Advisor",
backend: "claudecode",
model_override: "claude-opus-5", // current Claude Code default — check get_backend_auth_status
prompt: "You are my persistent advisor for this mission: <one-paragraph mission summary>. Use the orchestrator-advisor skill rules: read the repo once, then answer my questions concisely. First question: <your first question>"
)
ask_worker(mission_id, question). It returns
{answered: true, answer} when the advisor replies.answer_pending: true, call ask_worker again with the
same mission_id, an empty question, and the returned baseline object
unchanged. Repeat until answered.Ask when:
test cases passed, vs 7 / 18 without
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