checklist-bound-executionlisted
Install: claude install-skill LogicLabsAI/ultramemory-mcp
# Checklist-Bound Execution
A harness for fanning checklist / plan items out to spawned agents WITHOUT drift. Use it any time
two or more agents execute items from a shared plan and "did the agent actually do its exact job?"
matters.
## Why this exists (read first)
Spawned agents (Workflow agents, Task subagents) start with a FRESH, isolated context. They do not
see the conversation, the plan, or your intent unless it is handed to them. When the assignment is
vague — or worse, fails to arrive (the Workflow `args` global is unreliable and has come through as
`undefined`) — the agent reconstructs the task from whatever it can read and IMPROVISES. That is the
root cause of drift, not "lack of discipline."
Enforcement is therefore NOT a single instruction. It is four mechanisms together:
1. **Determinism of assignment** — each agent receives its item VERBATIM, embedded in its prompt.
2. **Structured proof** — each agent must return a schema-validated completion record (validated at
the tool layer, so it cannot hand-wave; the runtime retries on mismatch).
3. **Independent verification** — a separate, read-only agent re-checks each item against its
acceptance criteria, adversarially, and can FAIL it.
4. **Loop-back** — a failed item is sent back to a worker to fix, then re-verified, up to a bound.
A skill alone is advisory. This skill works because it pairs the procedure (here) with the Workflow
script's deterministic control flow + structured-output schemas + a verifie