M3.2: the action classifier
What the fast path calls unknown is judged by an independent model call on the item's classifier role (L4), before it runs. - nisse_dev.loop.classifier: it sees the action and the agreed scope (project, repository, issue number, the restatement the operator said go to), built in code; never the transcript, the issue's text, tool output or the driver's reasoning. Its verdict is a tool call: safe runs; in_scope runs and is reported in the thread; needs_discussion asks, as a dangerous action does. An error, no verdict or an unknown one fails closed. Verdicts are cached per item, agreed revision and action. A helper is refused what needs discussion. - action_verdict gains source, model and the classifier's exact input; details shows the source. An allow after the classifier asked is an override. scripts/classifier-evals.py exports the judgements from a store, read-only; tests/integration/classifier_cases.yaml is the seed set, run per model with --capability-models. - The fast path's delete rule: deleting on the build VM is contained; only what breaks the host (system and home directories) stays dangerous, since in tests the build VM is the test machine. - The classifier role is the local model in the example config. - The property walk gains a classifier answering at random, junk and failures included; dangerous_only_when_allowed now covers its verdicts (checked against a mutant that runs them all). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PPQ14L3LikyefCMFBqEbKE
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@@ -45,7 +45,9 @@ roles: # L9: role -> LiteLLM model alias
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driver: claude-opus-5-5 # drives the loop: talks, restates, works
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helper: claude-opus-5-5 # takes over what the driver got stuck on
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expert: claude-haiku-4-5 # one question at a time, no tools: cheap is enough
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# classifier: claude-haiku-4-5 # reads go-aheads (later: actions, L4); unset, expert's
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# Reads go-aheads and judges actions the fast path doesn't know (L4); unset,
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# the expert's. It never sees the transcript, so the driver's model is fine.
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classifier: qwen3.8-27b
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# Capability profiles (L9), from benchmarks: what one role is told about
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# another (never a model's name). Optional; a model without one is briefed as
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