Aet scope
Skill AdvancingTitans/agent-engineering-toolkit/skills/aet-scope
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.From its SKILL.md
npx -y skills add AdvancingTitans/agent-engineering-toolkit --skill aet-scopeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 28 days oldThe repository was created 28 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.9 KB, 387 tokens by cl100k_base, as published. Nobody here has run it
/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-scope request, use natural Simplified Chinese while
keeping code and required technical terms in English. Otherwise use English.
Report facts, judgment, counter-explanation, uncertainty, location, and the smallest next action, then stop. Do not repair, prove, publish, or enter Lab.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.