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aet-scopelisted

Investigate whether an AI coding change matches the user's task and whether cross-module changes are necessary. Use only for an explicit /aet-scope request.
AdvancingTitans/agent-engineering-toolkit · ★ 2 · Code & Development · score 61
Install: claude install-skill AdvancingTitans/agent-engineering-toolkit
# /aet-scope Answer one question: does each change group fit the user's authorized task? ## Boundary Run `aet quick scope <root> --base <revision> --intent <intent.json> --format json` for the deterministic preflight. Recover intent in this order: current request, later authorization, explicit Intent, Issue/PR, Commit message, then clearly marked inference. A path outside a declared surface is only a fact that triggers investigation. It is never sufficient by itself for `OUT_OF_SCOPE`. ## Investigation Group changes by purpose. For each material group, examine direct dependencies, shared infrastructure, interface migration, tests, generated files, later authorization, and a reasonable counter-hypothesis. Store each useful tool step in an Investigation Ledger with its question, immutable result reference, observation, hypothesis effect, decision value, and cost. Allowed dispositions are `IN_SCOPE`, `JUSTIFIED_EXPANSION`, `POSSIBLE_SCOPE_EXPANSION`, `OUT_OF_SCOPE`, and `INSUFFICIENT_INTENT`. Before rendering an Investigated Finding, pass the canonical Finding, Ledger, authorized-tool set, and Investigation Contract through `aet.investigation.validate_investigated_finding`. If that API is unavailable or rejects the record, preserve `HYPOTHESIS`/`UNKNOWN` and disclose why. Budget: 45 seconds, four rounds, two LLM calls, eight tool calls, two authorized remote reads, one expensive call, and at most one low-cost discriminating test. No code writes. For a Chinese `/aet-sco