Fresh Eyes Sweep

Fresh Eyes Sweep

If these instructions are already present in the conversation from a slash or dollar invocation, follow them directly; do not invoke this skill again through a skill tool.

Inspect the requested Git scope for evidenced mistakes, fix every safe issue, and account for every mapped file. A verified no-op requires that coverage and a full pass that finds nothing new. Leave sound work unchanged; edits are not required to demonstrate a successful sweep.

--max-runtime DURATION is optional: it is a positive integer followed by m or h, such as 45m or 3h. Reject an invalid duration, unknown option, or ambiguous positional input. When a deadline is supplied, calculate it before auditing and reserve the final 15% for aggregate validation and reporting, clamped to 5–30 minutes and never exceeding the total runtime. At that window, settle in-flight slices and do not start new fixes; report an incomplete sweep with its ledger rather than overrunning the deadline.

Overnight Autonomy

At invocation, read the environment's local time. If it is strictly after 22:00 or strictly before 08:00, treat the entire run as autonomous even if it later crosses a boundary. Exactly 22:00 and 08:00 are outside this window.

During an autonomous overnight run:

• Do not ask the user any questions or pause for clarification, selection, or approval. This does not broaden the skill's authority: leave destructive, disclosure, purchase, public-contract, and other approval-dependent actions undone.
• Use the smallest safe reversible interpretation and continue all independent work. Put every ambiguity, blocked issue, and approval-dependent choice on an overnight backlog instead of interrupting the run.
• Present the backlog at the end with each item's evidence, safe disposition, impact, and decision needed. Phrase the entries as findings, not questions. Omit the section when the backlog is empty.

Ledger Interface

Resolve scripts/sweep-ledger.py from this SKILL.md. Create the scratch ledger outside the repository:

uv run "<skill-dir>/scripts/sweep-ledger.py" init \
  --root <repo> --ledger <scratch.json> [<path>...]

With no paths, init maps the whole repository. With paths, it maps exactly those Git scopes. It records every tracked and non-ignored untracked file plus each path's pre-existing worktree status. The helper does not classify generated, vendored, binary, safe, important, or defective files.

Record an agent decision atomically only after inspecting or otherwise accounting for the path:

uv run "<skill-dir>/scripts/sweep-ledger.py" mark \
  --ledger <scratch.json> --status <pending|inspected|fixed|reported|excluded> \
  --path <path> [--path <path>...] [--reason <text>]

excluded requires an agent-written reason. Unknown paths or invalid batches fail without a partial update.

uv run "<skill-dir>/scripts/sweep-ledger.py" pending --ledger <scratch.json> [--limit <n>]
uv run "<skill-dir>/scripts/sweep-ledger.py" summary --ledger <scratch.json>

pending returns the next unaccounted paths in stable order. summary returns exact status counts, pre-existing edit count, completeness, percentage inputs, and a ten-cell bar. Use those facts directly; never estimate progress or reimplement ledger arithmetic.

Setup

1. Require Git and read applicable repository instructions. Record the worktree root, starting commit, starting status, resolved scope, and any deadline and validation window.
2. Initialize the ledger for the requested scope. The agent may additionally inspect shared configuration and instructions needed to understand that scope; do not silently widen the ledger. If init maps more than roughly 2,000 files and the user gave no [paths], partition the mapped ledger into bounded, system-aware directory or subsystem slices and continue without asking solely because of file count. Keep the complete requested scope in the ledger and preserve cross-slice invariants through the system map and aggregate validation. When a supplied deadline cannot cover every slice, stop at its validation window and report the resumable frontier; ask only when no safe partition can preserve a material invariant and the user must choose a narrower outcome. During an autonomous overnight run, record that choice in the overnight backlog and complete everything that remains independently safe.
3. Classify generated, vendored, minified, binary, and bulk-data artifacts. Validate them through their generator, schema, or invariants when line-by-line review is inappropriate, then mark them with the agent's reason.
4. Build a compact system map: executable entry points, workspace or package dependency directions, public interfaces, generators and derived artifacts, external and persisted-data seams, and the owner of each material invariant. Trace the highest-risk workflows end to end before choosing slices.
5. Inspect recent history and diffs, especially the newest changes, to find affected callers, dependencies, tests, configuration, and docs. Rank slices and fixes by evidenced impact: correctness, data loss, security, and externally exposed personal-data or disclosure risk first; then reliability, maintainability, measured performance, and developer experience. Treat recency as one prioritization signal, never as a substitute for coverage.
6. Discover build, test, lint, typecheck, format, and codegen checks.
7. Establish a baseline for every safe, relevant check before the first fix. If it is red, prioritize reproducible failures before discretionary work; defer failures that need an unclear or prohibited action while continuing with independently verifiable work.
8. Preserve every pre-existing edit recorded by the ledger. Do not revert, absorb, commit, or report it as a finding.

After mapping, report ### 🔎 Sweep mapped — <files> files · <slices> slices · ledger <scratch.json>. Slice count is an agent organization choice; file count comes from the ledger.

The ledger outlives the session. A later session resumes the same sweep by pointing at the same ledger path instead of re-running init: pending defines the frontier, and already-accounted paths are not reinspected. Carry the ledger path into every progress update, and name it again when reporting an incomplete sweep, so the user can hand it to the next session.

Subagents

• When the host supports model selection, choose reviewer and fixer models deliberately for the task; otherwise use the host default.
• Announce the planned fan-out in one line before launching: agent count and the model of each group.
• Cap concurrent reviewers at 4 unless the user raises it.
• Record each spawned task ID in the coordinator's slice plan so a later stop request resolves against real IDs. The ledger's reason records exclusions only.
• Give writing agents stable IDs, dependency waves, exact non-overlapping write scopes, repository constraints, and required completion evidence. In every slice brief, completion evidence must include every discovered strict static gate — typecheck, lint, and format/import order — applicable to the languages in the slice's write scope, scoped as narrowly as the tool permits. A gate that only runs repository-wide either runs once at slice settlement when cheap or is explicitly deferred to aggregate validation in the agent's result. Assign shared manifests, lockfiles, exports, and integration files to one sequential owner.
• Reconcile every wave before starting dependents. Use a fresh-context verifier after each nontrivial wave.
• Subagents and workers never commit. The coordinating session commits settled slices serially as checkpoint commits, so only one process touches the Git index.
• On lint-staged or other hook failures during a checkpoint commit, follow $commit's failure-recovery guidance rather than diagnosing index contention here.

Inspect and Fix

Work through coherent slices so implementation, callers, tests, configuration, and documentation stay visible together. For each slice, reason from first principles: identify the intended outcome and required behavior from the user's request and repository evidence. Treat the current implementation as something to justify, not as a requirement. Interrogate it in this order:

1. What is unnecessary, overly complicated, or based on weak assumptions? Challenge those assumptions against evidence.
2. What can be deleted entirely while preserving required behavior and contracts? Check consumers and invariants before concluding that a piece is unnecessary.
3. After removing unnecessary pieces, what remaining logic, interfaces, or workflow can be simplified?

Prefer deleting over simplifying, simplifying over optimizing, and optimizing over automating. Apply confirmed, safe improvements within the requested scope; this ordering does not justify dropping requirements or automating needless work.

Trace important control, data, concurrency, and error paths end to end. Hunt for concrete bugs, omissions, invalid assumptions, unhandled edges, security/reliability failures, inconsistencies, duplication, dead code, stale docs, and needless complexity. Also inspect evidenced problems in performance, dependencies, data formats and extensions, configuration, observability, accessibility, agent context, naming, and directory structure. Style preferences and unverified hunches are not findings.

At applicable external and persisted-data seams, inspect validation; domain precision and units; deterministic ordering and deduplication; idempotency and repeat-run behavior; atomicity and interruption safety; retry and pagination completeness; bounded concurrency, cancellation, and resource cleanup; and secret, log, path, temporary-file, and command safety.

Confirm each issue before editing. Fix the smallest root cause when intent is clear and verification is available; add a focused regression test when useful. Mark reported when a safe fix would alter a public contract, intent is ambiguous, or verification is unavailable. Do not add speculative features, broad refactors, or cosmetic churn.

Treat source files over 1000 lines and test files over 2000 lines as discovery candidates only. Split a file only when cohesion, coupling, change risk, or testability establishes a better seam; line count alone is not evidence. When a confirmed structural issue requires interface or seam redesign, use $codebase-design when available. Centralize the invariant in its owning module, apply the deletion test to pass-through modules, introduce a seam only where behavior actually varies, and keep callers and tests on the resulting interface.

Before changing an interface, persisted format, exported name, or path, enumerate and migrate every producer, consumer, schema, fixture, generator, export or manifest, script or recipe, check, configuration reference, and document. Search for the old identifier afterward and account for every intentional remainder. Apply dependency or framework updates, data-format or extension changes, renames, and reorganizations only when the migration is atomic, compatibility is demonstrable, and repository checks can prove it. Do not retain a performance change without a recorded baseline metric and repeatable benchmark.

If an experiment fails its evidence bar, revert only that experiment's attributable edits; never use repository-wide clean, checkout, or reset commands. After each nontrivial change wave, run $code-polish over that wave's exact changed file union when available. Otherwise apply the same fixed-scope contract inline: simplify only where comprehension or defect risk measurably improves, review by severity, fix evidenced defects, and rerun the narrowest proving checks.

On long runs, post updates only after coherent slices settle, using the ledger summary's exact bar and counts. The bar means path accounting, not depth of inspection.

Verify and Report

Run the narrowest check proving each fix, including every discovered typecheck, lint, and format/import-order gate applicable to its changed files, then aggregate checks scoped to changed files. Reinspect affected paths and repeat until a pass finds no new evidenced issue. Before declaring completion, revisit the first-principles questions against the result, including the sweep's own additions; passing checks alone does not justify unnecessary complexity. During a supplied deadline's validation window, reconcile owned edits and run the aggregate format, lint, type, test, build, and invariant checks justified by the final changed-file union. Compare final results with the recorded baseline. Audit coverage, fixes, and checks against tool output before claiming completion.

Lead with ### ✅ Sweep ledger complete — <accounted>/<mapped> files accounted (<inspected> inspected, <excluded> excluded) only when helper complete is true; otherwise use ### ⛔ Sweep incomplete. Summarize fixed, reported, excluded, and check counts. Include a compact Check | Baseline | Final table, changed artifacts and verified fixes, and subagent results. When non-empty, also include reverted experiments with the failed evidence, unresolved findings with their evidence, risk, and required decision, the overnight backlog when applicable, and residual risk with its next proving check. On ### ⛔ Sweep incomplete, name the ledger path so the next session can resume from pending. Do not dump the scratch ledger's contents, unrelated pre-existing changes, or bulk data; include task-relevant evidence when it materially supports the report.

Completion requires every mapped path accounted for, every finding fixed and verified or reported with evidence, and every relevant check passing or its failure attributed.