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fix/t3-cod
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fix/x7a-sd
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61f669ebc9 |
@@ -142,17 +142,24 @@ a ledger file, not only in todos.
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Read the plan once, note its context and Global Constraints, and create a
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todo per task.
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Before dispatching Task 1, scan the plan once for conflicts:
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Before dispatching Task 1, scan the plan once for conflicts, writing down
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what you checked as you check it:
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- tasks that contradict each other or the plan's Global Constraints
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- anything the plan explicitly mandates that the review rubric treats as a
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defect (a test that asserts nothing, verbatim duplication of a logic block)
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Present everything you find to your human partner as one batched question —
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each finding beside the plan text that mandates it, asking which governs —
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before execution begins, not one interrupt per discovery mid-plan. If the
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scan is clean, proceed without comment. The review loop remains the net for
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conflicts that only emerge from implementation.
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The scan's output is a table, not a verdict. One row for every pair of tasks
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that share a file or an interface: the two tasks, what one produces against
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what the other consumes, and what you found. One row for every task: whether
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its own text agrees with itself — the tests it specifies against the code it
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specifies, the files it creates against the files it later touches. "The scan
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is clean" without those rows is not a scan you ran.
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Write the table to the ledger. Rule on each conflict it surfaces — the spec
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is the binding authority, the plan is its argument — record the ruling beside
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its row, and dispatch Task 1. The review loop remains the net for conflicts
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that only emerge from implementation.
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## Model Selection
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@@ -7,34 +7,7 @@ Add to your Codex config (`~/.codex/config.toml`):
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multi_agent = true
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```
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This enables the multi-agent tools that skills like
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`dispatching-parallel-agents` and `subagent-driven-development` use.
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Which tools you get depends on the multi-agent version your model
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preset selects (current presets run V2; older ones run V1). Trust your
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actual tool list over any table — including this one — when they
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disagree.
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- **Spawning:** give children a clean context with
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`spawn_agent {fork_turns: "none"}`; the default `"all"` copies your
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entire transcript into the child. On Codex 0.145+, role files under
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`~/.codex/agents/` attach to isolated forks via `agent_type`.
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Full-history forks accept `model` and `reasoning_effort` overrides
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(only `agent_type` is refused there) — isolated forks are the SDD
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default for context hygiene, not because overrides require them.
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- **Fix rounds:** resume the implementer with `followup_task` — it
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delivers your message, triggers a turn, and transparently reloads a
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child the harness evicted. Never dispatch a fresh implementer on the
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theory that a spawned agent cannot be messaged again; on V2 it
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always can.
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- **Lifecycle:** V2 has no `close_agent`. Finished children are
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evicted automatically when slots are needed; leaving them unclosed
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costs nothing. Only V1 sessions have `close_agent` — there, close
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reviewers when their review returns, and close each implementer
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after its task's review passes.
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- **Model names:** never copy a model name from a skill, table, or old
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session into `spawn_agent` without checking it against your current
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spawn allowlist — V2 accepts only V2-capable presets and hard-errors
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on the rest.
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This enables `spawn_agent`, `wait_agent`, and `close_agent` for skills like `dispatching-parallel-agents` and `subagent-driven-development`. When using subagent-driven-development, close reviewer subagents when their review returns. Keep each implementer subagent open until its task's review passes — the fix loop resumes the implementer — then close it. If your harness cannot send another message to a spawned agent, dispatch each fix round as a fresh implementer carrying the brief, the report file, and the findings.
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## Environment Detection
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