Individual skill
audit-decisions
Audit the decisions an implementing agent made, not its diff — a pure audit that traces the session's history into a decisions ledger, changes no code, and never blocks an unsupervised run. Working code still embeds architecture the user never chose; surface it because future work inherits it. Use when the user wants to review the decisions the AI made on their behalf, before merging or committing AI-implemented work, when integrating a delegated subagent's pass, or when a fix "works" but might be a point fix.
skills/engineering/audit-decisions/SKILL.md
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- Last checked
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- agent-skills Repository topic
- ai-agents Repository topic
- autonomous-agents Repository topic
- autoresearch Repository topic
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SKILL.mdcore · 10,232 bytes
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# Audit Decisions
Given a good decision, an agent implements it faithfully; wherever the task is
underspecified, it makes the decision itself — silently, and the diff won't
flag it. Reviewing thousands of changed lines doesn't scale, and it inspects
the execution, which was probably fine. The audit that scales is of the
**decisions**: surface every one the implementer made on its own, judge
that list, and record the verdicts.
This is about architecture more than bugs. An implementation can work
perfectly and still rest on decisions the user never made — a data shape, a
storage location, a dependency, an API contract, a tradeoff of memory for
speed — and every one of them is load-bearing for future work. The user needs
to know them not because they're wrong, but because they now own them.