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dzhng / audit-choices

Audit the choices an implementing agent made, not its diff — a pure decision audit that traces the session's history into a choices 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.

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SKILL.md
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Audit Choices

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
choices: surface every decision 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.

This is purely a decision audit — it is not about modifying code, and it can
be called at any time. The job is to trace back: walk every step this
session has taken, and every step each subagent took (a live implementer
traces its own; otherwise reconstruct from its reports, transcripts, and
diffs), and surface every single decision that was made on the user's behalf
that was not in the original spec or prompt. The ledger of those decisions
replaces reading the code as the user's review surface — that is the whole
point. Acting on the verdicts (redoing an unsound choice, applying a
provisional call) belongs to the caller: the implementing workflow mid-run,
or the user after reading the report.

Two ways in, same audit:

  • Called by a workflow (per pass or per slice): audit that pass, append
    its entries to the ledger, and return; the workflow presents the
    accumulated ledger when it hands back.

  • Called directly by the user: audit the whole body of work in front of
    you (session, branch, or named change) and present the report immediately.
    Recommend; change nothing.

Workflow

  1. Elicit and trace back. When an implementer reports done, ask: *"While
    working on this, which choices did you make that you're not confident of?
    List all."* — but treat the self-report as a starting point, not the
    boundary: agents under-report. Trace the history yourself — the session's
    steps, subagent reports, diffs, commits — and collect every decision that
    is in the work but not in the original spec or prompt. Sweep the
    architectural categories, not just the suspect fixes: data shapes and
    formats, storage and naming schemes, API contracts and their error
    behavior, dependencies added, concurrency/perf tradeoffs, scope
    interpretations, patterns future code will imitate. Auditing your own
    session, trace your own steps the same way. Choices the plan explicitly
    delegated to the implementer are discretion, not audit items.

  2. Triage each choice on evidence. Forced by the plan, or invented?
    Invented ones get the scrutiny: is this the general solution, or a fix
    shaped to the one failing case? Verdict per choice: sound, unsound,
    or needs-user — and alongside the verdict, a confidence: how sure
    the audit is that the user would have made this same call. Confidence is
    what ranks the report. Reserve needs-user for genuinely user-only calls
    (taste, product direction, external cost); every needs-user entry records a
    recommended provisional call that is reversible, so an unsupervised caller
    can proceed without waiting. The audit never stalls a run: each entry is a
    judgment handed over for action or review, not a question that halts.

  3. State the corrected decision, don't sketch a patch. For each unsound
    choice, the entry names the decision the work should be redone from — the
    property that must hold in general — not an edit to layer on top. A patch
    on top of a bad decision preserves the decision; the redo itself is the
    caller's, after the ledger is reviewed.

  4. Bank every choice in the ledger (below), and promote load-bearing
    sound ones into the plan's handoff so later passes inherit them as givens
    instead of re-deciding.

  5. Present the ledger: grouped by verdict, ranked by confidence. The
    audit's deliverable is the ledger, handed to whoever acts next — the
    calling workflow mid-run, the user at run's end. Each verdict group maps
    to an action — needs-user (decide, with the provisional calls), unsound
    (redo, with the corrected decisions), sound (acknowledge: the
    architecture the user now owns) — and within each group choices are
    ranked by confidence, least confident first. When the ledger is long,
    open the report with the two or three least-confident choices overall,
    whatever their group: the "review these first" line. Sound is not
    skippable. Only trivial discretion (internal naming, cosmetic calls)
    compresses to a one-line count.

    Write every entry ELI5 — by default, not on request. The reader
    didn't live the session: write each entry in the
    [eli5](../eli5/SKILL.md) register — a concrete scenario walked end to
    end (the triggering event, what the work does today, what the unbuilt
    alternative would do), every term of art defined at first use, and
    pseudocode at the level of the decision when the choice is about control
    flow, ordering, or timing. "A gated ask is dropped, not deferred" is a
    headline, not an entry. A compressed entry that makes the user ask
    "explain this one" has failed; the ledger must stand alone without the
    diff, the spec, or the transcript.

The Choices Ledger

A dedicated file that outlives every pass: choices.md beside the plan
(specs/<feature>/choices.md when a spec owns the work). One entry per
audited choice:

  • When — pass or commit it landed in.
  • The choice — a one-line headline, then the ELI5 scenario: the
    triggering event, what the work does today, what the unbuilt alternative
    would do, with terms of art defined in place.

  • The gap — what the plan left unspecified that forced it.
  • The reach — what future work this decision constrains or enables; why
    the user needs to know it exists.

  • Verdict — sound / unsound / needs-user, with a one-line why. For
    unsound: the corrected decision to redo from. For needs-user: the
    recommended provisional call and how to reverse it.

  • Confidence — how sure the audit is that the user would have made the
    same call (low / medium / high). Ranks the report, ascending.

Rules of the ledger:

  • Banked is settled: a choice already in the ledger (or promoted into the
    plan) is a given for later passes — never re-listed, never re-decided.

  • The ledger is a plan-quality signal. Entries clustering around one slice or
    area mean the plan is foggy there — reslice or send that part back through
    the spec rather than triaging the same class of choice forever.

  • ELI5 survives every rewrite. The entry format above — headline plus the
    walked scenario with terms defined in place — is the storage format, not
    presentation polish. When entries are consolidated, merged, re-audited at
    close, or copied into a final ledger, each surviving entry keeps (or
    regains) its full scenario. The known failure mode is exactly this
    compression: a closeout rewrite that shrinks banked entries to their
    headlines produces a ledger the reader must interrogate — "The checkpoint
    loads rows in mailbox order and rejects the list when a later reference
    has an earlier createdAt" reads as settled, but only the walked version
    (two sessions, per-session sequence numbers that can't be compared, the
    shared insert-timestamp clock) lets a reader actually judge the choice. A
    consolidation that drops scenarios has failed even if every fact survives —
    and so has one that keeps the scenario but leans on labels the build
    invented ("the retry envelope", "the evidence seam") without defining them
    where they're used.

Rules

  • "It works" is not a verdict on the choice. The recurring smell is the
    coincidental fix: a resized buffer, bumped timeout, or special case whose
    magnitude happens to cover the failing input while the underlying cause
    stays dormant. Ask what property guarantees the fix in general; if the
    answer is "this case passes," the choice is unsound even though the code is
    green.

  • Declared success is the point of maximum risk — the implementer's confidence
    is highest exactly when its unexamined choices are about to be merged. Never
    skip the audit because the result looks clean.

  • An empty list on nontrivial work is a red flag, not a pass. Probe: what did
    the task leave unspecified? Something filled those gaps.

  • The audit changes no code, tests, or build state. Finding an unsound choice
    is the deliverable, not a license to fix it — record the corrected decision
    and leave the tree exactly as audited, so the ledger and the tree agree on
    what the caller is deciding about. Evidence-gathering is fair game: read
    anything, run the existing tests, write transient probes — but remove every
    probe before handback.

Done

The audit is done when every invented choice in the pass has a ledger entry
with a verdict, every unsound entry names the corrected decision to redo
from, every needs-user entry carries a reversible provisional call, and the
ledger has been presented — grouped by verdict, least-confident-first within
each group, every entry readable ELI5 without follow-up questions — to
whoever acts next, with the tree untouched. A handback that shows the diff
instead of the choices, or a "fix" applied during the audit, is not done.